Wednesday, November 22, 2017

[DMANET] Tenure-track and term positions in computer science and statistics (Data Science)

The Irving K. Barber School of Arts and Sciences at the University of British Columbia, Okanagan Campus, invites applications for the following three positions in Data Science:

1) Assistant Professor (Tenure Track)
2) Assistant Professor (Limited Term)
3) Instructor (Limited Term)

Each appointment is expected to start on July 1, 2018, or soon thereafter. The successful candidates will be members of the data science cluster in the Department of Computer Science, Mathematics, Physics, and Statistics (http://cosc.ok.ubc.ca/graduate/data-science.html http://cosc.ok.ubc.ca/prospective/data-science.html).

1) Assistant Professor (Tenure Track) [Job ID#: 28243]
https://mycareers.adm.ubc.ca/psc/erecruit/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=UBC_CE_JOB_DTL&JobOpeningId=28243
This is a tenure track appointment. Applicants must have a PhD in Computer Science or a closely related field with a focus area related to data science. Candidates must have a demonstrated record of research productivity and proven ability to obtain external funding in support of a successful program of research. They must also demonstrate commitment to student mentoring and supervision, excellence in undergraduate and graduate teaching appropriate to career stage, and an interest in graduate supervision. Preference will be given to candidates specializing in any of the following broad areas: (i) cloud computing and distributed systems, preferably with networking and service architecture knowledge; (ii) machine learning, data analytics, and big data, particularly with a focus on neural networks; (iii) cyber security and networking; or (iv) data visualization, especially in AR/VR/MR.

2) Assistant Professor (Limited Term) [Job ID#: 28242]
https://mycareers.adm.ubc.ca/psc/erecruit/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=UBC_CE_JOB_DTL&JobOpeningId=28242
This is a limited-term position. The appointment is for a maximum duration of 3-years, renewable annually. Applicants must have a PhD in Computer Science or a closely related field with a focus area related to data science. Candidates must have a demonstrated record of research productivity and proven ability to obtain external funding in support of a successful program of research. They must also demonstrate commitment to student mentoring and supervision, excellence in undergraduate and graduate teaching appropriate to career stage, and an interest in graduate supervision. Preference will be given to candidates specializing in any of the following broad areas: (i) cloud computing and distributed systems, preferably with networking and service architecture knowledge; (ii) machine learning, data analytics, and big data, preferably with a focus on neural networks; (iii) cyber security and networking; or (iv) data visualization, especially in AR/VR/MR.

3) Instructor (Limited Term) [Job ID#: 28239]
https://mycareers.adm.ubc.ca/psc/erecruit/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=UBC_CE_JOB_DTL&JobOpeningId=28239
This is a limited-term position. The appointment is for a maximum duration of 3-years, renewable annually. Applicants must have a PhD in Statistics or a closely related field; with a strong record of relevant university-level teaching; demonstrable commitment to teaching excellence; and promise of education leadership. Knowledge of analytics techniques (including modelling, uncertainty quantification, and modern simulation methods) is essential, as is familiarity with tools such as. Hadoop, R, Python, Tableau, and SAS.

The appointee is required to keep abreast of current developments in the field of data science and related pedagogy, but there is no requirement to undertake research activities. Nevertheless, the ability to integrate one's expertise into ongoing scholarly activities in the department and on the campus and to enhance existing strengths in Computer Science, Data Science, Mathematics, Optimization, and/or Engineering is desirable and will be a significant asset.

**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************