Thursday, November 13, 2025

[DMANET] Dirichlet Postdoctoral Fellowship of the Berlin Mathematical School

The following is a call for applications for a Dirichlet Postdoctoral
Fellowship of the Berlin Mathematical School. Discrete Mathematics is
one of the main research areas of BMS and is well-represented at the
three research universities of Berlin (Freie Universität,
Humboldt-Universität, Technische Universität). Candidates who completed
their PhD recently or will do so by next September are encouraged to apply.

The deadline is the 1st of December.

For more information please visit:
https://www.math-berlin.de/bms-faculty/dirichlet-postdoctoral-program

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Wednesday, November 12, 2025

[DMANET] PhD Positions in ML/AI - Spring/Fall 2026 at UT Arlington

Ph.D. Positions for Spring & Fall 2026 are available in the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) at University of Texas at Arlington. We welcome applicants with strong quantitative background, solid programming skills, and experience in machine learning and deep learning. If you are currently in the US, you are also welcome to apply for Spring 2026.

The PhD research directions will be focused on Deep Learning, Data Analytics, AI and Intelligent Systems. If interested, please send your CV and transcripts (and any materials that highlight your experiences, e.g., papers, certificates, thesis, awards, etc.) to Dr. Shouyi Wang at shouyiw@uta.edu.<mailto:shouyiw@uta.edu> We will review promptly and provide quick feedback. Accepted PhD students will receive full financial support for the duration of the PhD (tuition, stipend, and benefits). Visiting Students/Scholars Positions are also available in Machine Learning, Deep Learning, AI and Intelligent Systems.


Lab Information: The COSMOS Center is conducting world-leading research in Data Science, Machine Learning, Deep Learning, Complex System Modeling & Optimization in diverse fields include Health Informatics, Smart Energy, Smart Agriculture, and Autonomous and Collaborative AI-Driven Intelligent Systems (UAV, UGV, Robotics). Our PhD graduates are highly competitive in the US job market. Recent Ph.D. graduates got job placements at American Airlines, United Airlines, UPS, CSX, AT&T, IBM, Samsung AI, Bank of America, Comerica Bank, BNSF, General Motors, etc. Our Ph.D. graduates also have immense opportunities to pursue academic careers. Recent Ph.D. students obtained faculty positions at top schools, including University of Illinois Chicago, Washington State University, Stevens Institute of Technology, The State University of New York at Buffalo, etc.

Research Directions & Topics:

* Deep Learning and Decision Analytics for Healthcare and Biomedical Research: cancer imaging analytics (PET/CT/MRI), brain imaging analytics, precision medicine, personalized healthcare, etc.
* Generative AI for Computational Life-Science & Drug Discovery: Protein/DNA/RNA/Molecular data analytics, Generative AI for precision gene editing, molecular design, drug discovery.
* Multivariate Time Series and Sequential Data Modeling: deep learning for multivariate sequential data modeling and forecasting with applications in energy, healthcare, agriculture, and financial analytics.
* Interpretable & Probabilistic Deep Learning: uncertainty quantification, probabilistic deep learning, interpretability, reliability, and robustness of deep learning systems.
* AI-Driven Smart Systems for Agriculture: intelligent systems for invasive pest early detection, vaccine design for poultry health, food allergy analytics and management.
* AI Engineering and Intelligent Agent Systems: Development of Large Language Models (LLMs), autonomous AI-agent systems for decision analytics and adaptive problem-solving.

School Information: With more than 40,000 enrolled students, UTA is one of the largest public universities in the nation. According to 2025 U.S. News and WorldReport, UTA Engineering School is ranked #81 in the US. The Industrial, Manufacturing, & Systems Engineering (IMSE) Department is ranked #55 for Graduate Programs. With great resources and Texas State support, the IMSE department is one of the fastest growing programs in the US with more than 200 graduate students. UTA is one of the 146 Carnegie R-1 Doctoral Universities in the US with highest research activities.

DFW/Arlington Area: Arlington sits in the heart of the Dallas/Fort Worth metro, the 4th-largest in the U.S. with extensive industry partnerships and opportunities. Texas hosts 55 Fortune 500 headquarters, the most of any state. The COSMOS center at UTA drives impactful, industry-connected research with strong external collaboration.


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[DMANET] 2026 ACM/IFIP Middleware conference CFP

[Apologies for cross-posting]

Dear colleagues,

we are pleased to announce the 2026 ACM/IFIP Middleware conference CFP.

CALL FOR RESEARCH PAPERS


30th November – 4th December 2026

Universitat Rovira i Virgili

Tarragona, Spain

https://middleware-conf.github.io/2026/

The annual ACM/IFIP Middleware conference is a major forum for discussing innovations and recent scientific advances in middleware systems with a focus on the design, implementation, deployment, and evaluation of distributed systems, platforms, and architectures for computing, storage, and communication. The conference will include a high-quality single-track technical program, invited speakers, an industrial track, panel discussions involving academic and industry leaders, poster and demonstration presentations, a doctoral symposium, tutorials, and workshops.

Topics of Interest

The Middleware conference seeks original submissions of research papers on a diverse range of topics, particularly those identifying new research directions. The topics of interest for the conference include, but are not limited to:

*
Middleware Applications
*
Middleware for cyber-physical and real-time systems
*
Middleware support for security and privacy
*
Middleware for AI and machine learning systems
*
Middleware for data science pipelines
*
Middleware techniques for internet-of-things and smart cities
*
Middleware for multimedia systems
*
Middleware Systems
*
Fault tolerance and consistency
*
Distributed and parallel systems
*
Distributed ledgers and blockchains
*
Event-based, publish/subscribe, streaming, and peer-to-peer systems
*
Serverless and Function-as-a-Service computing
*
Data-intensive systems (big data)
*
Cloud, fog, edge computing, and data centers
*
Networking, network function virtualization, and software-defined networking
*
Mobile and pervasive systems and services
*
Emerging hardware technologies
*
Middleware Design Principles and Programming Models
*
Programming abstractions and paradigms for middleware
*
Reconfigurable, adaptable, and reflective middleware
*
Critical reviews of middleware paradigms, e.g., object models, aspect orientation
*
Methodologies and tools for middleware systems design, implementation, verification, and evaluation
*
Monitoring, resource management, and analysis
*
Virtualization, auto-scaling, provisioning, and scheduling
*
Energy and power-aware techniques

The conference seeks original papers of five types:
Research Papers: These papers report original research on the above topics and will be evaluated on the significance of the problem, the novelty of the solution, advancement beyond prior work, sufficient supporting evidence, and clarity of the presentation.
Experimentation and Deployment Papers: These papers describe complete systems, platforms, and/or comprehensive experimental evaluations of alternative designs and solutions to well-known problems. The emphasis during the review of these papers will be more on the demonstrated usefulness and potential impact of the contributions, the extensive experimentation involved, and the quality and weight of the lessons learned.
Big Ideas Papers: These are papers that have the potential to open up new research directions. For such papers, the potential to motivate new research is more important than full experimental evaluation, though some preliminary evidence of the effectiveness of the approach or idea is important. We will require senior researchers to present papers in this track for stronger dissemination and more lively discussion.
Short Papers : These papers hold up to the same standards and evaluation criteria of full research papers, but their content is presented in a more compact format.
Important Dates, Deadlines, Conditions
Middleware 2026 will have two submission deadlines, and we are providing the possibility of revision decisions for some papers that are deemed promising but somehow not yet complete. A more detailed explanation of the submission model is provided below.
First Round: Fall/Winter Deadlines:
Full paper submissions due: December 13, 2024
Early rejection notification: January 20, 2026
Rebuttal: February 26-28, 2026
Notification to authors (Accept/Accept with shepherding/Revise for Spring deadline/ Reject): March 7, 2026
Shepherded submissions due: March 28, 2026
Notifications of decisions of shepherded papers (Accept/Reject): April 11, 2026
Final paper files (camera-ready copy) due: April 25, 2026

Second Round: Spring/Summer Deadlines:

Full paper submissions due: June 06, 2026
Rebuttal: August 18-22, 2026
Notification to authors (Accept/Accept with Shepherding/Revise for next calendar year/Reject): September 5, 2026
Shepherded submissions due: October 3, 2026
Notifications of decisions of shepherded papers (Accept/Reject): October 10, 2026
Final paper files (camera-ready copy) due: October 24, 2026

Complete Guidelines and requirements

Please check the complete CFP at https://middleware-conf.github.io/2026/calls/call-for-research-papers/.

Sincerely,


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[DMANET] MIP 2026: Poster abstract submission

The 2026 Mixed Integer Programming (MIP) Workshop is inviting submissions for its poster session. MIP 2026 will be held May 18-21, 2026 at the University of Connecticut, Stamford Campus. Please note that the workshop and poster session (traditionally held on the first day) will be entirely in person.
For details on how to submit a poster abstract, please visit https://www.mixedinteger.org/2026/posters. The submission deadline is February 20, 2026 (11:59pm "Anywhere on Earth" time). This year, the poster session is reserved for undergraduate and graduate students (specifically, who have not been awarded a PhD degree by the day of the deadline).

To accommodate international participants who may require extra time to secure a visa to attend the workshop, we offer the option to request an expedited decision. This can be selected in the form when submitting the abstract, and it will only be available for submissions completed by January 31, 2026. We anticipate providing our response to these submissions by February 14, 2026. All other submissions (without this request) will be evaluated by March 10, 2026, independently of when the abstracts were submitted.

This year's poster session will continue the tradition of a best poster competition. Selected finalists for the best poster competition will be eligible for travel support funds (estimated at $500-750 per person). Poster submissions that are not selected as competition finalists may still present their poster (space permitting), but only finalists are eligible for the competition and for travel support.

On behalf of the organizing committee, we look forward to seeing you at MIP 2026!
--
Cheng Guo (she/her)
Assistant Professor, Operations Research
School of Mathematical and Statistical Sciences | Clemson University | Office: Martin O-324
Website: https://chengg04.github.io/
Email: cguo2@clemson.edu <mailto:cguo2@clemson.edu>


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[DMANET] CPAIOR 2026 – Call for Papers | Rabat, Morocco | May 26–29, 2026

Dear colleagues,

We are delighted to announce that the *23rd International Conference on the
Integration of Constraint Programming, Artificial Intelligence, and
Operations Research (CPAIOR 2026)* will be held for the first time on the
African continent, in *Rabat, Morocco, from May 26 to 29, 2026*.

CPAIOR brings together the CP, AI, and OR communities to exchange
innovative ideas, techniques, and applications at the crossroads of these
fields. We particularly encourage contributions that combine concepts and
methods from different areas, as well as high-quality single-discipline
papers relevant to the broader community.

*Conference website:* https://sites.google.com/view/cpaior2026/
*Submission portal:*
https://openreview.net/group?id=cpaior.org/CPAIOR/2026/Conference

*Deadlines for regular papers (published in Springer LNCS):*
- Abstracts due: December 1, 2025 (AoE)
- Full papers due: December 7, 2025 (AoE)
- Rebuttal phase: January 20–23, 2026
- Notification: February 9, 2026

*Regular submissions may be:*
- Long papers (≤ 15 pages + refs)
- Short papers (≤ 8 pages + refs)


*Extended abstracts (presentation-only):* - Submission: March 6, 2026
(AoE)
- Notification: March 23, 2026

Proceedings will appear in the Springer Lecture Notes in Computer Science
(LNCS) series. The review process is single-blind, and papers are handled
through OpenReview.net.

*Topics of Interest (non-exhaustive list)*
- Integration of machine learning and optimisation, including
neurally-guided solving, prediction + optimisation, and
large-language-model-based approaches.
- Novel relaxation and inference methods, constraint propagation,
cutting planes, convex/second-order conic, graph-based,
dynamic-programming, and decision-diagram methods.
- New search strategies, decomposition, column generation, Benders,
intelligent backtracking, and learning-based heuristics.
- Hybrid and distributed approaches combining CP/MIP/PB/SAT solvers.
- Innovative applications and implementations of CP/AI/OR techniques.
- Awards will be given for the Best Paper and Best Student Paper.

We warmly invite you to submit your work and join us for this edition of
CPAIOR 2026 in Rabat!

Please share this announcement within your networks!

With best regards,
*The CPAIOR 2026 Organizing Committee*
https://sites.google.com/view/cpaior2026/

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[DMANET] Tenure-Track position in the Dept. of Combinatorics & Optimization, University of Waterloo

The Department of Combinatorics and Optimization (https://math.uwaterloo.ca/co) in the Faculty of Mathematics at the University of Waterloo invites applications for one tenure-track faculty position at the rank of Assistant Professor. Appointments at the level of Associate or Full Professor with tenure will be considered in special cases that substantially enhance the reputation of the department. The focus area of this search is continuous optimization; however, stellar candidates in any of the department's research areas of algebraic combinatorics, continuous optimization, cryptography, discrete optimization, graph theory, and quantum computing are welcome to apply.

A Ph.D. degree and evidence of excellence in research and teaching are required. Successful applicants are expected to maintain an active program of research, to attract and supervise graduate students, and to participate in undergraduate and graduate teaching. The salary range for the position is $105,000 to $155,000. Negotiations beyond this salary range will be considered for exceptionally qualified candidates. The anticipated start date is July 1, 2026. Interested individuals should apply using the MathJobs site (https://www.mathjobs.org/jobs/lists/27436). Applications should include a curriculum vitae, research and teaching statements, and up to three reprints/preprints. In addition, at least three reference letters should be submitted.

The deadline for applications is December 12, 2025. Applications received by December 12 will be given full consideration. However, applications will continue to be reviewed until the position is filled.

The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office (https://uwaterloo.ca/human-rights-equity-inclusion/indigenousinitiatives).

The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion. As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as Indigenous peoples (e.g., First Nations, Métis, Inuit/Inuk), Black, racialized, people with disabilities, women and/or 2SLGBTQ+.

The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application, interview or workplace accommodation requests, please contact combopt@uwaterloo.ca or David Jao, (djao@uwaterloo.ca) Chair, Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.

If you have any questions regarding the position, the application process, assessment process, or eligibility, please contact combopt@uwaterloo.ca or David Jao, Chair, Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Three reasons to apply: https://uwaterloo.ca/faculty-association/why-waterloo.

Dept. of Combinatorics & Optimization

Faculty of Mathematics
University of Waterloo
Waterloo, ON N2L 3G1, CANADA


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[DMANET] Vacancy for Assistant Professor in Mathematical Modeling at Utrecht University

The Mathematical Institute of Utrecht University has a vacancy for an Assistant Professor in Mathematical Modeling. The position entails roughly 50% teaching and 50% research. We welcome applications from the broad area of mathematical modeling with a focus on real-world applications. This includes statistics, uncertainty quantification, data analysis, signal processing, (mathematical foundations of) machine learning, and dynamical systems.

The application deadline is 4 January 2026.

Full information about the position and how to apply can be found here: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/assistant-professor-in-mathematical-modelling

Contact person: please email any questions to Dr. Palina Salanevich at p.salanevich@uu.nl.

Key points of the position are listed below:

Your job:

In this position, you will divide your time roughly equally between research and teaching (approximately 50% each).

You will further develop your research line individually and in collaboration with other scientists, including colleagues from other departments. You will apply for external funds, supervise PhD candidates and postdocs, and organise relevant scientific meetings at national or international level. You will also actively initiate efforts, or continue to apply, your research to real-world problems in medicine, biology, climate, physics, imaging, or other domains.

You will teach courses at a variety of levels, from first-year Bachelor's to advanced Master's courses. Master's courses can be taught either at the local level or as part of the national master programme, Mastermath. You will be involved in the supervision of Bachelor's and Master's theses as well as smaller-scale projects. We value and encourage teaching innovation, offering University funding opportunities for developing new ideas and methods.

By engaging in the daily life of the Mathematical Institute<https://www.uu.nl/en/organisation/mathematical-institute> and taking on positions of responsibility, you will help shape the future of the department.

Please note that we are also looking for an Assistant Professor in (arithmetic) algebraic geometry and number theory. More information about this position is available on our website<https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/assistant-professor-in-arithmetic-algebraic-geometry-and-number-theory>.

Your qualities
You play an active and committed role in all aspects of academic life. Ideally, your eligibility is exemplified by:

a PhD in mathematics or related discipline, preferably related to the research areas described;
a collection of significant research achievements and a proven track record of international leading publications;
high potential for the acquisition of external research funds;
a research focus connected to at least one field of application,and demonstrated experience or motivation to engage with real-world applications;
proven ability or potential to supervise and mentor postdocs, PhD candidates, Bachelor's and Master's students;
commitment to inspiring and engaging teaching and the ability to teach courses in the Bachelor's and Master's programmes in Mathematics and related disciplines, based on an in-depth understanding of current developments in the field;
a committed role in or ideas for (inter-)national activities in scientific and/or societal communities;
commitment to obtaining the University Teaching Qualification<https://www.uu.nl/en/education/centre-for-academic-teaching/teacher-development/senior-university-teaching-qualification> (UTQ) if you do not yet have it.
Utrecht University expects all to be proficient in English (level C1). If you do not have a command of Dutch, we ask for a willingness to learn the language within 5 years. Utrecht University will support you in this.

In view of our policy to improve the gender balance we strongly encourage people of all genders to apply. Diversity among group members enriches academic debate and contributes to the quality of research. Therefore, applicants from underrepresented groups are particularly encouraged to apply.

Our offer
a position for one year, with the prospect of permanent employment following a positive evaluation;
a gross monthly salary, depending on qualifications and experience, between € 4.728 and €6.433 in the case of full-time employment (salary scale 11 under the Collective Labour Agreement for Dutch Universities (CAO NU));
8% holiday pay and 8.3% year-end bonus;
a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.
In addition to the terms of employment external link laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development external link, various types of leave, and options for sports and cultural activities external link. You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University external link.


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[DMANET] Stream "Selected Aspects of International Finance", IFORS Conference, 12-17 July 2026, Vienna, Austria

The 24th Conference of the International Federation of Operational Research Societies:

Decision Support for a Sustainable World

12-17 July 2026, Vienna, Austria

[ https://www.euro-online.org/conf/ifors2026/streams | Stream "Selected Aspects of International Finance and OR ] "
Chair(s): Gerhard-Wilhelm Weber ( gerhard-wilhelm.weber@put.poznan.pl )

Dear colleague,

We like to welcome you to the 24th Conference of the International Federation of Operational Research Societies

12-17 July 2026 in Vienna, Austria

We have five Sessions (Click on each of the Session Name)

Stream

Session Name

Session chair(s):

Code


Selected Aspects of International Finance and OR

[ https://www.euro-online.org/conf/ifors2026/edit_session_cluster?sessid=30 | Selected Aspects of International Finance and OR 1 ]

[ https://www.euro-online.org/conf/admin/userinfo.php?username=dohyun | Dohyun Ahn ] ( dohyun@se.cuhk.edu.hk )

ab855098


Selected Aspects of International Finance and OR

[ https://www.euro-online.org/conf/ifors2026/edit_session_cluster?sessid=31 | Selected Aspects of International Finance and OR 2 ] [ https://www.euro-online.org/conf/ifors2026/edit_session_cluster?sessid=31 |   ]

[ https://www.euro-online.org/conf/admin/userinfo.php?username=chen9 | Nan Chen ] ( nchen@se.cuhk.edu.hk )

c7c15ee8


Selected Aspects of International Finance and OR

[ https://www.euro-online.org/conf/ifors2026/edit_session_cluster?sessid=32 | Selected Aspects of International Finance and OR 3 ] [ https://www.euro-online.org/conf/ifors2026/edit_session_cluster?sessid=32 |   ]

[ https://www.euro-online.org/conf/admin/userinfo.php?username=gao1 | Xuefeng Gao ] ( xfgao@se.cuhk.edu.hk )

e1adc6cc


Selected Aspects of International Finance and OR

[ https://www.euro-online.org/conf/ifors2026/edit_session_cluster?sessid=100 | Business Management in Dynamic Emerging Markets ] [ https://www.euro-online.org/conf/ifors2026/edit_session_cluster?sessid=100 |   ]

[ https://www.euro-online.org/conf/admin/userinfo.php?username=helperz | Helper Zhou ] ( helperzhou@gmail.com )

4f27e0bc


Selected Aspects of International Finance and OR

[ https://www.euro-online.org/conf/ifors2026/edit_session_cluster?sessid=101 | OR Finance Challenges in Africa ]

[ https://www.euro-online.org/conf/admin/userinfo.php?username=kamdem | Bruno Kamdem ] ( kamdemb@farmingdale.edu )

0e5c51ce

The link to the Abstract Submission System is https://www.ifors2026.at/home/

You may submit an abstract in one of your preferred organized sessions by inserting the corresponding Session Code and then putting in your abstract (max. 1500 characters).

[ https://www.ifors2026.at/home/ | Important dates & general information ]

1 December 2025 - Opening of abstract submissions

15 March 2026 - Deadline for abstract submissions

25 April 2026 - Early bird registration deadline

25 April 2026 - Final registration deadline for authors

Gerhard-Wilhelm Weber

[ https://www.euro-online.org/conf/ifors2026/streams | Stream Selected Aspects of International Finance and OR ]

Email: gerhard-wilhelm.weber@put.poznan.pl


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Tuesday, November 11, 2025

[DMANET] Call for Participation - International Conference on Bilevel Optimization (ICBO) 2026

Dear Colleagues,

We are delighted to announce that the International Conference on Bilevel Optimization (ICBO) 2026 will be jointly hosted by the University of Pittsburgh (Pitt) and Carnegie Mellon University (CMU), with Bo Zeng (Pitt) and Ramteen Sioshansi (CMU) serving as Co-Chairs.

Conference Overview

Dates: 2–5 August 2026
Location: Pittsburgh, Pennsylvania, USA

The first day of the conference will feature a tutorial or summer school on specialized sub-areas of bilevel optimization, followed by the main conference program over the subsequent three days.

We warmly invite your participation—whether by organizing thematic sessions or submitting contributed presentations. Abstract submissions will open on January 1, 2025, with detailed instructions and deadlines to be announced soon.

Program Committee

Margarida Carvalho
Kaiyi Ji
Ivana Ljubic
Ted Ralphs
Martin Schmidt (Chair)
Ramteen Sionshansi
Anton Svensson
Sonja Wogrin
Bo Zeng
Jin Zhang

Conference Webpage and Further Information

Comprehensive information, including details on logistics, the organizing committee, submission guidelines, and program updates, will be available on the conference website: https://bileveloptimization.org/icbo/2026/index.html


We look forward to welcoming you to Pittsburgh in August 2026 for an inspiring and collaborative gathering of the bilevel optimization community.

Warm regards,
Bo Zeng and Ramteen Sioshansi
Co-Chairs, ICBO 2026


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[DMANET] Fully Funded PhD Position in Australia

Dear all,


Please feel free to forward this information to potential candidates.


Application Deadline: 17 November 2025


The Optimisation and Logistics group at the School of Computer and Mathematical Sciences, The University of Adelaide, Australia, has a scholarship available for a Ph.D. student working on the project "Collaborative AI-Based Optimisation for Sustainable Resource Extraction in South Australia's Copper and Gold Mining Sector".



This project aims to increase the productivity of South Australia's copper and gold production by developing advanced AI techniques, such as bio-inspired algorithms and machine learning, to address key decision-making and planning challenges.


The prospective student should have a strong background in the design and application of optimisation algorithms. To deal with stochastic aspects of the problems and algorithms, a strong mathematical knowledge is also required.



Additional information can be found at https://researchers.adelaide.edu.au/profile/aneta.neumann


Application instructions: https://adelaideuni.edu.au/research/research-degrees/research-projects/eoi/487/


Supervisor and contact: Aneta Neumann<mailto:aneta.neumann@adelaide.edu.au>



Kind regards,

Aneta



Dr Aneta Neumann
Researcher, Optimisation and Logistics
Director of Real-World Applications
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
The University of Adelaide, Australia


[image001.jpg]

http://researchers.adelaide.edu.au/profile/aneta.neumann
https://www.linkedin.com/in/anetaneumann
CRICOS Provider Number 00123M




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[DMANET] Prize for Innovation in Distributed Computing 2026

We are pleased to announce that the 2026 Prize for Innovation in Distributed Computing is awarded to Dariusz (Darek) Kowalski from Augusta University, USA. Darek has been a major contributor to the field of distributed protocols on shared channels. His contributions appear in numerous research papers published in leading conferences, including 9 papers in SIROCCO throughout the years.

Darek, with collaborators, started the subfield of adversarial shared channels. In a simplified setting, a multiple of autonomous processes, also called stations, are connected to a shared communication channel, in which a packet can be successfully transmitted if exactly one station attempts to transmit it at a time. Packets occur in stations according to some adversarial (worst-case) pattern, unknown to the distributed algorithm run by the stations, and are stored in local queues until successfully transmitted on the channel. The goal is to design algorithms that keep the queues bounded and achieve high throughput (of successfully transmitted packets) and low packet latency in arbitrarily long computations.

Darek produced a very large body of work that addresses and resolves several fundamental issues for the adversarial distribution of the input in time (even in an unbounded time period). The input could be packets, but also other resources or faults (e.g., jamming, crashes). In his papers, a first model for analyzing arbitrarily long executions of communication on a shared channel was introduced, and later developed, together with latency analysis, and later of fairness, queue sizes, etc. Darek also introduced a classification of protocols and proved separation bounds between them. The results included, for example, an adversarial version of the renowned Little's Law from the stochastic queuing theory, and the development of a new theory that combines queue sizes with latency and throughput.

Darek's contributions include further aspects of shared channels, such as asynchronous communication on the channel, consensus and mutual exclusion, adversarial models for analyzing stability and latency of transactional memory and sharding, classic scheduling with adversarial jamming, and many others. Several novel and technically involved results and techniques have been developed while pursuing his research on dynamic channels: a connection of adversarial dynamicity with online and stochastic models of shared channels, a construction of ultra-resilient superimposed codes which exploit close links with information theory and improve not only communication on dynamic shared channels but also in multi-hop beeping networks, contributions to the theory of selective families for radio networks, and more.

For his pioneering advancements on distributed computing over shared channels, we are proud to present the 2026 Prize for Innovation in Distributed Computing to Dariusz Kowalski. The prize will be awarded at SIROCCO 2026, to be held on June 9-11, 2026, in Durham, UK.

The 2026 Award committee:

Keren Censor-Hillel (Technion, Israel)
Yuval Emek (Technion, Israel)
Magnus Halldorsson (Reykjavik University, Iceland)
Sergio Rajsbaum (UNAM, Mexico)
Ulrich Schmid (TU Wien, Austria)


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[DMANET] Job Offer »Scientific Researcher - Algorithms for Combinatorial Optimization Problems« at Fraunhofer ITWM

The Optimization Department of the Fraunhofer Institute for Industrial Mathematics (ITWM) in Kaiserslautern is looking for talented scientific researchers who are passionate about COMBINATORIAL OPTIMIZATION and have a strong interest in APPLIED MATHEMATICS.

Join us to design and deploy cutting-edge optimization algorithms that tackle REAL-WORLD PLANNING CHALLENGES-from warehouse scheduling and energy management to supply chain efficiency-making visible impact in industry and society while shaping the future of production.

Candidates are required to have completed at least their Master's degree in (business) mathematics or (theoretical) computer science with a background in combinatorial optimization and/or theory of algorithms.
Ideally, the candidate is also interested in data science and has already gained some experience in programming.
Candidates are expected to have at least upper intermediate (B2) language proficiency in German and advanced (C1) language proficiency in English in order to communicate with our customers and colleagues.


For more information about this vacancy, please see https://tinyurl.com/OPT-ITWM

If you have any questions regarding content, please contact: Dr. Heiner Ackermann - heiner.ackermann@itwm.fraunhofer.de

If you have any questions regarding the application process, please contact: Isabelle Dieckhoff - isabelle.dieckhoff@itwm.fraunhofer.de

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[DMANET] EURO WISDOM YW4OR Webinar on Machine Learning and Optimization, 26 November 2025, 16:00 – 17:00

EURO WISDOM YW4OR Webinar on Machine Learning and Optimization, 26 November 2025, 16:00 – 17:00

Please join us
What: EURO WISDOM YW4OR Webinar on Machine Learning and Optimization

When: 26 November 2025, 16:00 – 17:00 (Central European Time)
Where: Zoom - to receive the Zoom link register in this Google Form, https://docs.google.com/forms/d/e/1FAIpQLSfKKF6O4sjvBxTeT8_WAVsxiUl3aLhgsYc8i4v0RLrWyFI9Fw/viewform

Agenda

YW4OR Speakers

Dr Yasmine Beck, ESSEC Business School, France
Double the Levels, Double the Trouble: Uncertainty in Bilevel Optimization and a Glimpse at Limited Observability

Dr Marta Monaci, La Sapienza University of Rome, Italy
Margin Optimal Trees for Robust Nonlinear Regression

Dr Jasone Ramírez-Ayerbe, Université de Montréal, Canada
What Should Have Changed? Relative Explanations for Decisions under Endogenous Uncertainty

Expert panelist
Prof Thibaut Vidal, Polytechnique Montréal

The EURO WISDOM is a forum to support, empower, and encourage the participation of all genders in Operational Research and Management Science. It is an initiative supported by EURO, the Association of European Operational Research Societies. Please visit: https://www.euro-online.org/web/pages/1654/wisdom.

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[DMANET] LSE PhD studentships in Discrete Mathematics, Optimisation and Algorithms, and Game Theory

The Department of Mathematics at the London School of Economics and Political Science (LSE) invites applications for PhD studies supported by fully funded PhD studentships, including in the areas of Discrete Mathematics, Optimisation and Algorithms, and Game Theory.

We are seeking exceptionally talented and motivated students with a strong mathematical background and interest in combinatorics, discrete random structures, graph theory, mathematical foundations of operations research, optimisation, algorithms, mathematical and algorithmic game theory, and related areas. For information about the faculty in those areas and their interests, please see www.lse.ac.uk/Mathematics/Research.

Applicants whose application is complete (including receipt of references) by the first deadline (*14 January 2026*) will be considered for fully funded PhD studentships. These studentships are tenable for four years and cover full fees and an annual stipend. The stipend for 2025 entry was £22,780. The studentships are usually tax free. The award of these studentships is competitive, based on academic performance (typically in an MSc or equivalent).

For further details, including details of how to apply, please visit www.lse.ac.uk/Mathematics/Prospective-Students, www.lse.ac.uk/study-at-lse/graduate/mphilphd-mathematics and www.lse.ac.uk/study-at-lse/graduate/fees-and-funding.

For administrative and regulatory questions, please contact Ms Jasna Begić, J.Begic@lse.ac.uk.

For academic questions, copying J.Begic@lse.ac.uk, you can email
- Prof Jan van den Heuvel J.van-den-Heuvel@lse.ac.uk (Discrete Mathematics),
- Prof Andrew Lewis-Pye A.Lewis7@lse.ac.uk (Optimisation and Algorithms),
- Prof Olivier Gossner O.Gossner@lse.ac.uk (Game Theory).


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Monday, November 10, 2025

[DMANET] PhD Positions in Data Science at Tecnologico de Monterrey (Mexico)

Dr. Alan Roberto Vazquez is currently seeking prospective students to join the PhD in Engineering Sciences program at Tecnologico de Monterrey (Monterrey Campus) in Mexico. Dr. Vazquez's lab focuses on smart data collection for building data science and AI applications. Specifically, he develops optimization methods to design and analyze cost-efficient experiments for process improvement, applies data science algorithms to develop novel food products, and studies the use of AI to design experiments and clinical trials. The impact areas include health, food technology, food security, and personalized recommendation systems.

The requirements of the PhD in Engineering Sciences are:

- Bachelor's degree with a strong foundation in Statistics, Mathematics, or Optimization.
- Average grade >90 in undergraduate studies. No master's degree is needed to join the program
- Score of at least 157 points in the quantitative section and 3.5 points in the writing analysis of the GRE Test. Alternatively, 585 or more in the Tec de Monterrey admission exam, called PAEP.
- TOEFL IBT score of 80 or more, or an equivalent score in other exams (IELTS, DET, etc.).

Benefits:

- 4-year research doctoral program.
- Funding for participation in international conferences.
- Collaborative research environment with faculty from the biotechnology department at Tecnologico de Monterrey.
- Scholarships available to cover full tuition at Tecnológico de Monterrey.
- Maintenance scholarships available through the Mexican government (SECIHTI).

How to Apply:

Send an email to alanrvazquez@tec.mx with the subject "DCI Application". More about Dr. Vazquez's research can be found at https://alanrvazquez.netlify.app/

<https://alanrvazquez.netlify.app/>

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[DMANET] Fully Funded Doctoral Studentship in Theoretical Computer Science

================================================================================

Fully Funded Doctoral Studentship in Theoretical Computer Science

================================================================================

Student fee status: Home
Supervisor: Sandra Kiefer
Start Date: October 2026

Application: centrally via University of Oxford
Deadline: 2 December 2025

--------------------------------------------------------------------------------

The Department of Computer Science at the University of Oxford is offering one fully funded DPhil studentship at home-fee level in the Algorithms & Complexity Theory theme under the supervision of Sandra Kiefer, to commence next academic year (October 2026).

The successful applicant will join the Algorithms & Complexity Theory team: https://www.cs.ox.ac.uk/research/algorithms.
This internationally-leading research group studies the difficulty of computational problems. Methods involve classifying problems and objects according to their inherent complexity, as well as designing and analysing algorithms with respect to their efficiency and computational limits. The successful candidate will have the opportunity to collaborate with other members of the team and of the department.

Sandra Kiefer's interests are in graph theory, logic, and descriptive complexity theory, with applications in algorithms, graph machine learning, and verification. She has further projects in automata theory and at the intersection of machine learning and biomedicine: https://www.cs.ox.ac.uk/people/sandra.kiefer.

The studentship will provide an annual stipend (at the UKRI rate) of at least £20,780 per annum for 3.5 years (42 months). The studentship will also cover the costs of course tuition fees at home level. Research students in the Department of Computer Science are also provided with a fund for travel to conferences and workshops (subject to approval).

Applicants must satisfy the usual requirements for studying for a doctorate at Oxford, and apply online by Tuesday, 2 December 2025, via the DPhil in Computer Science, quoting studentship reference 25-CS-SK: https://www.ox.ac.uk/admissions/graduate/courses/dphil-computer-science.

Candidates are expected to have a strong computational and/or mathematical background, with undergraduate studies in Computer Science, Engineering, Physics, Mathematics or related disciplines. Candidates must also have good writing, communication and presentation skills (see the University's web pages on the DPhil in Computer Science for details).

--------------------------------------------------------------------------------

For further information or for informal discussions about suitability, please contact Sandra Kiefer.

For further information about the studentship or the application process, please e-mail Computer Science Graduate Admissions <graduate.admissions@cs.ox.ac.uk>.
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[DMANET] Postdoc position in Paris on learning augmented algorithms

*Postdoctoral Position in Theoretical Computer Science — LIP6 (CNRS &
Sorbonne University), Paris, France*

LIP6 (CNRS and Sorbonne University), Paris, France, is seeking
candidates for a postdoctoral position in Theoretical Computer Science.
Full funding will be provided by the ANR project PREDICTIONS, which is
focused on the subject of *learning-augmented algorithms*.

The position is for one year, with a negotiable starting date (ideally
January 2026). Candidates must hold a Ph.D. degree in Computer Science
or a related field before the starting date of the position. Knowledge
of French is not required, and applications may be submitted in either
French or English.

Candidate profile:

*

PhD Degree in Computer Science.

*

Specialization in Theoretical Computer Science in areas such as
online, approximation, or randomized algorithms. Research experience
on learning-augmented algorithms will be considered as an advantage
but it is not a prerequisite.

*

Demonstrated capacity to conduct research at the international level.

Candidates should send the following materials by email to Christoph
Dürr atchristoph.durr@lip6.fr:

* Curriculum Vitae (CV), including list of publications
* Statement of interest
* Names and contact information of two academic references

Applications will be reviewed on a rolling basis until the position is
filled.


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[DMANET] WAW2026 — Conference Announcement

We are happy to announce that the 21st Workshop on Modelling and Mining Networks (WAW 2026) will be held June 15-19, 2026 at the Fields Institute for Research in Mathematical Sciences, Toronto, ON, Canada.

https://math.torontomu.ca/waw2026/

We are also happy to introduce our plenary speakers:
- Tina Eliassi-Rad, Northeastern University
- Przemysław Kazienko, Wroclaw University of Science and Technology
- Renaud Lambiotte, University of Oxford (to be confirmed)
- Cristopher Moore, Santa Fe Institute

Please consider submitting a paper. The deadline is February 1, 2026. Selected papers will be published by Springer LNCS and presented during the conference. Alternatively, one can submit an abstract which also could lead to a presentation at the conference but not a publication. More details can be found on our web page: https://math.torontomu.ca/waw2026/cfp.html

We hope to see you at WAW!
Pawel Pralat
_______________________________________
http://math.torontomu.ca/~pralat/
Professor, Department of Mathematics, Toronto Metropolitan University


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[DMANET] PhD & Postdoc position in algorithmic graph theory, TU Dresden

A PhD and a postdoc position is open at the Chair of Algorithmic and
Structural Graph Theory at TU Dresden, Germany, with a flexible starting
date early 2026.

Both positions are full-time (100%, E13 TV-L). The PhD is initially
offered for three years with possible extension. The Postdoc is
initially offered for two years (again with possible extension).

We are looking for highly motivated candidates with a strong background
in theoretical computer science (in particular, algorithm design). The
successful applicants will take part in the research and teaching
activities at the Chair of Algorithmic and Structural Graph Theory
within the Institute of Theoretical Computer Science at TUD.

The main research area is the design and analysis of graph algorithms,
with a focus on parameterized algorithms, structural graph theory, graph
symmetries and similarities, and algorithmic model theory.

The application deadline is *Dec 5th, 2025*. For informal inquiries,
please contact Daniel Neuen (daniel.neuen@mailbox.tu-dresden.de).

For more details, see the official TU Dresden job openings:

PhD Position: https://tu-dresden.de/vacancy/12480
Postdoc Position: https://tu-dresden.de/vacancy/12479
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[DMANET] [Last CFP] Special Session in Computational Intelligence applied to Sustainability at EvoStar 2026 (Toulouse, France, April 8-10 2026)

Dear Colleagues,

This is the last CFP for the EvoApps 2026 Special Session in Computational
Intelligence applied to Sustainability (
https://www.evostar.org/2026/evoapps/cis/)

Submission deadline extended to *November 15, 2025* (AoE).

The application of Computational Intelligence techniques to sustainability
is a fast-growing field, yielding innovative solutions in areas like wind
farm optimization, land use, water distribution, smart grids, and AI-driven
decision support in healthcare.

This special session seeks to bring together researchers and practitioners
to explore the latest advancements in applying Computational Intelligence
to sustainability, with a focus on methodologies that directly or
indirectly address one or more SDGs (https://sdgs.un.org/goals).

Topics of interest include, but are not limited to:

-

Renewable Energy Systems: Optimization of energy generation,
distribution, and storage.
-

Smart Cities: Design and management of resilient, sustainable urban
environments.
-

Agriculture and Food Security: Sustainable farming practices, precision
agriculture, and food supply chain optimization.
-

Environmental Monitoring and Management: Applications in pollution
control, conservation, and natural resource management.
-

Healthcare and Well-being: AI-driven diagnostics, telemedicine, and
optimization of healthcare systems.
-

Water Resources Management: Efficient distribution, usage, and
conservation of water resources.
-

Sustainable Manufacturing and Industry 4.0: Green manufacturing
processes, waste reduction, and lifecycle assessment.
-

Risk Reduction and Management: Early warning systems for natural
disasters, climate change risk assessment, response optimization, and
resilience building.
-

Circular Economy: Strategies for waste minimization, recycling, and
sustainable product design.

We welcome original research, review articles, and case studies that
demonstrate the potential of Computational Intelligence to create
sustainable solutions and drive progress toward the SDGs. Contributions
that highlight interdisciplinary approaches and real-world implementations
are particularly encouraged.

More Information: https://www.evostar.org/2026/evoapps/cis/

Submission Details

-

Page limit: 14 pages, Springer LNCS format.
-

Submission link and details: https://www.evostar.org/2026/submit-paper/

Important Dates

-

Submission deadline: *November 15, 2025 (AoE)*
-

EvoStar: April 8-10, 2026
-

Toulouse, France
-

Held as part of EvoStar: https://www.evostar.org/2026/

Organisers

-

Valentino Santucci
-

University for Foreigners of Perugia, Italy
-

valentino.santucci(at)unistrapg.it
-

Fabio Caraffini
-

Swansea University, UK
-

Fabio.caraffini(at)swansea.ac.uk
-

Jamal Toutouh
-

University of Malaga, Spain
-

jamal(at)uma.es
-

Lucia Ballerini
-

University for Foreigners of Perugia, Italy
-

lucia.ballerini(at)unistrapg.it

*Prof. Jamal Toutouh*Vice Dean & Tenured Professor
- University of Málaga – jamal@uma.eshttps://neo.lcc.uma.es/new/

🌐 website: jamal.es
🐦 twitter: @jamtou
————————


--
Jamal Toutouh El Alamin

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[DMANET] [Scheduling seminar] Rachel R. Chen (UC Davis) | November 12 | Outpatient Appointment Scheduling with Waiting Time Limits

Dear scheduling researcher,

We are delighted to announce the talk given by Rachel R. Chen (UC
Davis). The title is "Outpatient Appointment Scheduling with Waiting
Time Limits". The seminar will take place on Zoom on Wednesday, November
12 at 14:00 UTC.
Join Zoom Meeting
https://cesnet.zoom.us/j/98020327183?pwd=51usye8bYlWTWomIA9ZVVqiiwmj2ec.1
Meeting ID: 980 2032 7183
Passcode: 076268

You can follow the seminar online or offline on our Youtube channel as
well:
https://www.youtube.com/channel/UCUoCNnaAfw5NAntItILFn4A

The abstract follows.
This paper studies outpatient appointment scheduling with waiting time
limits, in the presence of uncertain service times, patient no-shows and
unpunctual arrivals. To tackle the problem of excessively long waiting
times, policymakers may impose a waiting time limit. The introduction of
waiting time limits increases the complexity of model formulation by
significantly increasing the number of problem scenarios. To address
this challenge, we introduce the concept of virtual waiting time,
representing the additional waiting time that a patient would have to
incur to see the doctor beyond the imposed waiting time limit. Using
this construct, we are able to unify the modeling of system dynamics of
all different scenarios into one stochastic program. We develop a
tailored integer L-shaped method to solve this model and test its
effectiveness against two benchmarks. Specifically, the subproblem is a
mixed integer nonlinear program with good properties, which allow us to
deduce its optimal value without using optimization solver. We find that
the presence of waiting time limits increases the job allowance between
two adjacent patients, and the optimal schedule does not necessarily
exhibit the well-known dome-shaped pattern. We also find that waiting
time limits help reduce variation in patient waiting times across
different positions in the schedule, thereby enhancing fairness in the
schedule. Furthermore, our results indicate that in the presence of
waiting time limits, the total cost of the system is minimized when
patients tend to arrive slightly late on average. Finally, we find that
when a social planner sets the limit, the clinic has incentives to
misreport its true cost of serving each diverted patient, and an
additional fine on top of the time limits helps improve social welfare.

The next talk in our series will be:
Hoogeveen, J.A. (Utrecht University) | November 26 | Planning shunting
operations at railway hubs
For more details, please visit https://schedulingseminar.com/

With kind regards

Zdenek Hanzalek, Michael Pinedo and Guohua Wan

--
Zdenek Hanzalek
Industrial Informatics Department,
Czech Institute of Informatics, Robotics and Cybernetics,
Czech Technical University in Prague,
Jugoslavskych partyzanu 1580/3, 160 00 Prague 6, Czech Republic
https://rtime.ciirc.cvut.cz/~hanzalek/

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[DMANET] 2nd Announcement of the Fifth edition of the Workshop Metabolism and mathematical models: Two for a tango

Dear all,

This is the second announcement for the 5th Edition of the workshop "Metabolism and
mathematical models: Two for a tango" that will take place on November 20-21, 2025.
The workshop will be virtual as was the case for the 1st, 2nd, 3rd, and 4th Editions.

Registration is free but is required. To register, go to this link:
https://grist.numerique.gouv.fr/o/docs/forms/bkmfah9zzTaVGxevqpJRAJ/55.
Also, for organisational purposes, registration will close on November 19 at 6pm CET time.

The topic of the workshop is metabolism in general. Besides an exploration of the
biological, biochemical and biomedical aspects of metabolism, the workshop will also aim
at presenting some of the mathematical modelling, algorithmic theory and software
development that have become crucial to explore such aspects.

More details may be found on this page:
https://team.inria.fr/erable/en/events/workshop-metabolism-and-mathematical-models-two-for-a-tango-5th-edition/

As you can see, we'll be very happy to have six Keynote speakers:
Kai Blin, Novo Nordisk Foundation Center for Biosustainability, Denmark
Tobias Engl, Max Planck Institute for Chemical Ecology, Germany
Ronan Fleming, University of Galway, Ireland
Alicia Kowaltowski, University of São Paulo, Brazil
Alejandra Pietro Davó, National Autonomous University of Mexico, Mexico
Jean-Marc Schwartz, University of Manchester, UK

Besides the talks given by the above Keynote speakers, there will be two sessions,
one per day, of 30 minutes each, dedicated to a discussion of some specific open
questions. More details on these are also available on the webpage of the workshop.

The workshop will take place in the afternoons, from 2pm to 5:30pm CET time.

Do not hesitate to spread the news widely among your colleagues and to post the
announcement in lists you may know.

Cheers from the organisers,
Mariana Galvão Ferrarini (Max-Planck Institute for Chemical Ecology, Germany)
Sabine Peres (Univ. of Lyon 1, CNRS and Inria, France)
Marie-France Sagot (Inria, CNRS and Univ. of Lyon 1, France)
Ariel Silber (Dept. of Parasitology, Institute of Biomedical Sciences, Univ. of São Paulo, Brazil)
Susana Vinga (Instituto Superior Técnico and INESC-ID, Lisbon, Portugal)
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Sunday, November 9, 2025

[DMANET] AIces 2026: early registration November 25

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1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE

AIces 2026

Porto – Maia, Portugal

March 30 – April 3, 2026

https://aices.irdta.eu/2026/

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Co-organized by:

University of Maia

Institute for Research Development, Training and Advice – IRDTA
Luxembourg/London

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Early registration: November 25, 2025

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SCOPE:

AIces 2026 will be the first in a series of research training events aiming at updating participants on the most recent multidisciplinary discussions about the foundations, meaning, challenges and risks of AI.

The event will have a global scope along 3 thematic lines: cognition, ethics, and society. It will cover current debates about: AI and philosophy of mind; cognitive architectures; machine learning and cognitive development; large language models and visual information; robotics and embodied cognition; neuroscience-inspired AI; algorithmic bias and fairness; transparency and explainability; accountability and responsibility; privacy and surveillance; autonomy and control; AI impact on human values and social inequalities; the future of work and automation; governance, regulation and public policies; AI, human rights and democracy; AI and global development; information and AI education.

The event will consist of 10 courses, 2 keynote lectures, 1 round table, 1 symposium collecting short contributions from participants, and 3 open thematic debate sessions. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.

ADDRESSED TO:

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well.

Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses.

Overall, AIces 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

VENUE:

AIces 2026 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be:

University of Maia
Avenida Carlos de Oliveira Campos - Castêlo da Maia
4475-690 Maia
Porto, Portugal

https://www.umaia.pt/en

STRUCTURE:

2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.

All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event.

KEYNOTE SPEAKERS:

David Danks (University of Virginia), Trustworthy AI in an Untrustworthy World

Ming Lin (University of Maryland), Socially Responsible and Trustworthy AI

PROFESSORS AND COURSES:

Ricardo Baeza-Yates (Barcelona Supercomputing Center), [introductory] Introduction to Responsible AI

Susan Brennan (Stony Brook University), [introductory/advanced] Where Are the Humans in Human-Centered AI?

Thomas Breuel (Nvidia Research), [introductory] Facts and Rules in LLMs

Carlos Castillo (Pompeu Fabra University), [introductory] Algorithmic Fairness in High-Risk AI Applications

Alan Dix (Cardiff Metropolitan University), [introductory] AI for Social Justice

Elia Formisano (Maastricht University), [introductory/intermediate] Auditory Cognition in Humans and Machines

Marijn Janssen (Delft University of Technology), [introductory/advanced] Data and AI Governance - From Control to Trust

Christian Lebiere (Carnegie Mellon University), [intermediate] Computational Cognitive Models of Human-AI Teaming

Paul Smolensky (Johns Hopkins University), [intermediate/advanced] Symbol Processing in Transformers and Other Neural Networks

Savannah Thais (City University of New York), [intermediate/advanced] Measurement for Safer AI

SYMPOSIUM:

A half-day symposium will collect 10-minute voluntary presentations by participants on any of the 3 thematic areas of the event. A 1-page abstract containing the title, authors, and summary of the presentation must be sent to david@irdta.eu by February 28, 2026.

OPEN DEBATES:

A 3-hour open debate session will be organized for each of the 3 thematic areas of the school: cognition, ethics and society. Expressions of interest to lead the respective sessions will be accepted until December 30, 2025 at david@irdta.eu . A 2-page description must be sent including the topics to be debated as well as the structure, call for contributions and dynamics of the session.

SPONSORS:

Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from

https://aices.irdta.eu/2026/sponsors/

ORGANIZING COMMITTEE:

Samuel Anjos (Maia, social networks)
Osheen Jain (London, communications)
José Paulo Marques dos Santos (Maia, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Santiago Montes (Tarragona, webpage)
Sara Morales (Luxembourg)
José Luís Reis (Maia)
Luís Paulo Reis (Porto)
David Silva (London, organization chair)

REGISTRATION:

It has to be done at

https://aices.irdta.eu/2026/registration/

The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all program activities and lunches.

There are several early registration deadlines. Fees depend on the registration deadline.

The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions will be available in due time at

https://aices.irdta.eu/2026/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university.

QUESTIONS AND FURTHER INFORMATION:

david@irdta.eu

ACKNOWLEDGMENTS:

Universidade da Maia

Universidade do Porto

Universitat Rovira i Virgili

Institute for Research Development, Training and Advice – IRDTA, Luxembourg/London
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[DMANET] PhD Position at TU/e (Netherlands)

Dear colleagues,

We would appreciate it if you could share the PhD position advertisement below with any master's student or potential candidate you may know who could be interested.

Thanks a lot in advance!
Alex

______________________________________________________


In the Combinatorial Optimization group at Eindhoven University of Technology (The Netherlands), there is a vacancy for a 4 year PhD-position. This PhD position is supervised by Alexandra Lassota (https://www.tue.nl/en/research/researchers/alexandra-lassota) and Frits Spieksma (https://www.tue.nl/en/research/researchers/frits-spieksma).

The vacancy can be found at:
https://www.tue.nl/en/working-at-tue/vacancy-overview/phd-on-decision-making-using-structural-mixed-integer-programs

The vacancy closing date will be 20.12.25, or until the position is filled. The preferred starting date is February or March 2025.


*Project Description

Within this PhD project, you will explore the power and versatility of structural (mixed) integer programs. We focus on integer programs with well-behaved constrained matrices whose structure can be exploited by algorithms, leading to efficient solvability. Due to the development of such algorithms, structured integer programs play a critical role in many decision-making processes leading to improved operational efficiency, and cost reductions. Our goal is to extend this connection, with a focus on problems related to collective decision-making, voting, and (fair) resource allocation. Through this work, you will contribute to building stronger theoretical foundations for structural optimization, to designing new algorithms for such integer programs, and to applying structured integer programs to various domains.


*Job Description

You will work under the supervision of Alexandra Lassota and Frits Spieksma in the Combinatorial Optimization group within the Department of Mathematics and Computer Science at TU/e. Your responsibilities include to perform scientific research on the topic of the above-mentioned project, and to publish and present your results at international venues. For a small percentage of your time, you will be asked to assist with educational tasks (course support and supervision of students).


*Job Requirements

•     You have a bachelor and master degree in Mathematics, Computer Science, or Econometrics.
•     You have a strong background in Combinatorics and Complexity Theory.
•     You have good communication skills and like occasional travels.
•     You are creative, ambitious, as well as self-motivated, proactive, and goal-oriented.
•     You have a good command of the English language (knowledge of Dutch is not required).


*Conditions of Employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
•     Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
•     Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
•     A year-end bonus of 8.3% and annual vacation pay of 8%.
•     High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
•     An excellent technical infrastructure, on-campus children's day care and sports facilities.
•     An allowance for commuting, working from home and internet costs.
•     A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

*Application

We invite you to submit a complete application by using the apply button.

Besides personal and contact information, you should upload the following documents as PDFs:
•     A cover letter in which you describe your motivation, research experience, interests, and qualifications for the position.
•     A curriculum vitae, including a list of publications (if existing) and two academic references. We do not need reference letters at this stage.
•     B.Sc. and M.Sc. transcripts

Do not upload any other documents.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
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Friday, November 7, 2025

[DMANET] SMiLE International Conference Feb 2026 - 08-11 Feb' 2026 - KFUPM, Saudi Arabia

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2nd International Conference on Smart Mobility and Logistics Ecosystems
KFUPM, Dhahran, Kingdom of Saudi Arabia
February, 2026
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Conference Website: https://smile.kfupm.edu.sa

Important Dates
- Paper Submission Extended Deadline 15 November 2025
- Acceptance Notification 15 December 2025
- Tutorials & Workshops 8 February 2026
- Conference Dates 9,10,11 February, 2026

About SMiLE 2026
Building on the success of the inaugural 1st International Conference on Smart Mobility and Logistics Ecosystems (SMiLE) conference, the IRC Smart Mobility and Logistics at KFUPM proudly invites researchers, industry leaders, and policymakers to the SMiLE 2026. The conference serves as a premier platform for advancing sustainable, intelligent, and resilient mobility and logistics ecosystems through interdisciplinary research, innovation, and collaboration.
Smart mobility and logistics are pivotal in enhancing transportation efficiency, reducing environmental impact, and optimizing urban traffic flow. By leveraging cutting-edge technologies such as IoT, AI, data analytics, autonomous vehicles, electric mobility, and hydrogen-powered solutions, these systems enable real-time monitoring, predictive analytics, and intelligent decision-making. Additionally, advancements in cybersecurity, quantum computing, digital twins, and human-machine collaboration are revolutionizing transportation networks, ensuring resilience, efficiency, and sustainability. These innovations drive the future of connected, automated, and intelligent mobility ecosystems, reducing congestion and emissions while shaping next-generation transport solutions.
SMiLE2026 invites submissions presenting novel and cutting edge research contributing to the scope of the conference.

For paper submission, https://easychair.org/conferences/?conf=smile2026

For registration, please visit https://smile.kfupm.edu.sa/

Keynote Speakers
* Dr. Pascal van Hentenryck, Director of the NSF Artificial Intelligence Institute for Advances in Optimization (AI4OPT), and the Director of Tech-AI, the AI hub at Georgia Tech.
* Dr. Hesam Rakha, Director of Center for Sustainable Mobility, Virginia
* Dr. Ansar Yasir, Micro-Mobility and Traffic, ITS
* Dr. Aboelmagd Noureldin, Professor and Canada Research Chair, Electrical and Computer Engineering, RMC/Queen's University

Conference Highlights
* Keynote Sessions by distinguished global experts in mobility, logistics, and AI
* Panel Discussions featuring leading academics and industry leaders on critical challenges and opportunities
* Industry Showcases & Demos of cutting-edge smart mobility and logistics solutions
* Networking & Collaboration Opportunities with researchers, startups, and policymakers
* Best Paper Awards to recognize outstanding research contributions
* Competitions /hackathon/ideathon etc (school, college & university levels)
* Social Events

Publications
All accepted papers will be published in the conference proceedings and submitted for publication in Procedia Transportation Research, hosted by Elsevier on www.elsevier.com and on the Elsevier content platform ScienceDirect (www.sciencedirect.com), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com).

Conference Tracks
SMiLE 2026 welcomes high-quality original research, case studies, and practical insights in the following key tracks:

* Smart and Resilient Transportation Systems
* Automation, Optimization, and Innovation in Logistics
* Cognitive Cities and Sustainable Transport Ecosystems
* Cognitive Human-Machine Teaming in Mobility and Logistics

Topics include, but not limited to:
1. Smart and Resilient Transportation Systems
* AI-powered Traffic Management and Congestion Control
* Connected, Assisted, and Autonomous Mobility Solutions
* Mobility-as-a-Service (MaaS) and Seamless Multimodal Transport
* Resilient, Secure, and Privacy-Focused Transportation Infrastructure
* AI-Driven Cybersecurity and Threat Mitigation in Transportation
* Predictive Maintenance using AI for Mobility Infrastructure
* Digital Twins and Simulation-Based Planning for Smart Mobility
* Shared Mobility, Ride-hailing, and Smart Micromobility Solutions
* Inclusive Mobility and Accessible Transport Solutions
* Public Transport Innovations and Smart Infrastructure
* AI, IoT, and Behavioral Analytics in Transportation
* Safety, Security, and Privacy in Next-Gen Mobility

2.Automation, Optimization, and Innovation in Logistics
* AI-Driven Resilient and Adaptive Logistics Networks
* Green supply chains and carbon-neutral logistics
* Automation and Robotics in Smart Warehousing and Distribution Centers
* Blockchain for Transparency and Trust in Logistics
* IoT-enabled smart logistics infrastructure
* UAVs for Logistics and Delivery Operations
* Urban Air Mobility (UAM) for Passenger and Freight Transport
* Satellite-based logistics and supply chain solutions
* Smart ports and autonomous maritime logistics
* Digital twins for supply chain efficiency
* Smart cities and intelligent transport infrastructure
* Optimization in Supply Chain Management, including AI and Quantum Computing
* Last-mile Delivery Innovations
* Real-time Freight Tracking and AI-Driven Transport Planning
* Track Platooning
* Cold Chain Logistics and Perishable Goods Transportation
* On-demand and Hyperlocal Logistics
* Cybersecurity and Risk Management in Smart Logistics

3. Cognitive Cities and Sustainable Transport Ecosystems
* Smart Road Infrastructure, Including Intelligent Intersections
* Connected and Autonomous Vehicles (CAV) Infrastructure and 5G/V2X mmunications
* Intelligent Traffic Management and Digitalized Transport Networks
* Urban Air Mobility (UAM) and Water-Based Transport Infrastructure
* Resilient and Cyber-Secure Transport Infrastructure
* Decarbonizing Transportation and Carbon-Neutral Mobility Solutions
* Electrification and Hydrogen Technology for Sustainable Mobility and Logistics
* Sustainable Supply Chain Management and Green Logistics
* Circular Economy and Climate-Resilient Transport Planning
* Smart Grid Integration for Future Transport and Logistics
* Public Policies and Innovations for Sustainable Transportation
* Smart Cities and Intelligent Transport Infrastructure
* Sustainable Multimodal Transport Strategies
* Digital Transformation and Emerging Technologies in Mobility
* Green Infrastructure and Sustainable Urban Mobility Planning
* Next-Generation Intelligent Transport Systems
* 5G & Beyond and Edge Computing for Mobility and Logistics Solutions

4. Cognitive Human-Machine Teaming in Mobility and Logistics
* AI-assisted decision-making for mobility and logistics
* Human-in-the-loop automation in transportation and logistics
* Ethics, trust, and safety in AI-human collaboration
* AI-driven predictive analytics for transport and logistics optimization
* AI-augmented cybersecurity strategies in transportation systems
* Quantum computing for AI-enhanced decision-making in mobility
* Human-centered AI for critical decision-making and operations
* Collaborative intelligence between humans and machines in logistics
* Cognitive systems and explainable AI in transport and logistics

**********************************************************************
DISCLAIMER: The information in this email and its attachments (if any) is intended for the addressee only and may contain confidential or privileged information. If you are not the intended recipient, please delete the email and its attachments from your system and notify the sender immediately. You should not retain, disclose, copy, or use this email or any of its contents for any purpose, nor disclose its contents to any other person. KFUPM is not responsible for changes made to this message after it was sent. Statements and opinions expressed in this e-mail are those of the sender, and do not necessarily reflect those of KFUPM. KFUPM is not liable for any effect or virus damage caused by this message.
إن المعلومات الواردة في هذا البريد الإلكتروني ومرفقاته إن وجدت، قد تكون خاصة أو سرية؛ فإذا لم تكن المقصود بهذه الرسالة؛ فيُرجى منك حذفها ومرفقاتها من نظامك وإخطار المرسل بخطأ وصولها إليك فورا. كما لا يجوز نسخ أي جزء منها أو مرفقاتها ، أو الإفصاح عن محتوياتها لأي شخص أو استعمالها لأي غرض آخر. إن جامعة الملك فهد للبترول والمعادن لا تتحمل مسؤولية التغييرات التي يتم إجراؤها على هذه الرسالة بعد إرسالها. وإن البيانات أو الآراء المعبر عنها في هذا البريد، هي بيانات تخص مُرسلها، ولا تعكس بالضرورة رأي وبيانات الجامعة. كما لا تتحمل الجامعة مسؤولية أي تأثير ينتج عن هذه الرسالة أوعن أي فيروس قد تحمله.

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