The Department Quantitative Economics of Maastricht University School of Business and Economics (SBE) and the Business Intelligence and Smart Services Institute offer a tenure track assistant professorship in Data Analytics.
The newly established Business Intelligence and Smart Services Institute (www.biss-institute.nl<http://www.biss-institute.nl>) is a joint initiative by Maastricht University, Open University, and University of Applied Sciences Zuyd. At the institute, an interdisciplinary research team will perform applied and fundamental research on technological, business and societal aspects of data driven smart services. It will also host educational labs in which students from all three universities work on applied projects on business intelligence and big data in a diversity of functional areas such as Finance, Accounting, Marketing, Health Care and Smart Cities.
The BISS institute is located at the Smart Services Campus (SSC) in Heerlen. The campus is an eco-system in which large enterprises (e.g. APG, Accenture, Conclusion) and SMEs collaborate with researchers and students on technological, business and social innovation.
The assistant professor data analytics will be a member of the BISS institute (4 days/week) and affiliated to the department of Quantitative Economics at Maastricht University (1 day/week). He/she will be working in a cooperative environment where researchers from related fields, e.g. from econometrics, statistics, data mining, operations research, machine learning and computer science will have an opportunity to cooperate with each other.
The data analyst will have a set of tasks related to research, education, and business development. Scientific research in high-dimensional statistics or econometrics for big data, predictive and prescriptive analytics will be some of the main tasks for this position. Experts in the following research areas are especially encouraged to apply:
· Econometric and statistical methods for high-dimensional data sets; preferably with a focus on methodology or theory;
· Intersection of machine learning and statistics/econometrics;
· Intersection of data mining, artificial intelligence and statistics.
The BISS institute is also involved in educational activities in data analytics, business informatics, and business development. Therefore, we ask for experience in teaching related to data analytics in the broad sense. A proof of excellence in teaching is definitely a "pro".
Finally, the data analyst will participate in industrial projects by means of gathering and analyzing data to solve specific business problems. He/she should be able to evaluate possible scenarios, to make predictions on future outcomes, and to support decision making. Thus, he/she should have experience in applying data analytic (e.g. statistics/econometrics or machine learning) techniques to large economic and business data sets. He/she should be an advanced user, or even a developer, of software tools for statistical analysis of high-dimensional data sets.
Typical workload: 40% education and 60% research, of which a significant part might be in collaboration with industry.
* PhD or equivalent advanced degree in a field relevant to data analytics, such as econometrics, statistics, machine learning, artificial intelligence, operations research or computer science;
* Solid track record of scientific publications in international peer-reviewed journals in one of the fields above. Preference will be given to candidates having methodological expertise that goes beyond simple applications of these techniques;
* Excellent interpersonal skills, including the ability to interact with scientists, corporates, SME's, Start-Ups and stakeholders in the public sector, at a variety of levels in a collaborative, effective manner;
* A track record of success in working within teams;
* Experience in acquiring research funding is a pro.
Conditions of employment: The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl/<http://www.maastrichtuniversity.nl/> , employees, A-Z.
Contract type: Tenure track for starting ass. prof.; permanent, when proven to have sufficient experience.
Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 16,000 students and 4,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Humanities and Sciences, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.
Applications should be received not later than February 14, 2016. They should include a curriculum vitae and copies of some written work. Two letters of reference, assessing the applicant's research potential and personality, should be sent independently by the referees. Applications can, preferably, be sent by e-mail to: firstname.lastname@example.org<mailto:email@example.com> (with cc to firstname.lastname@example.org<mailto:email@example.com>) or to: Maastricht University School of Business and Economics, Personnel Department, P.O. Box 616, 6200 MD, Maastricht, The Netherlands, and refer to vacancy AT2015.245 on both letter and envelope.
For more information about the position you can contact:
Prof. dr. Jean-Pierre Urbain, phone: +31 43 3883660, email firstname.lastname@example.org<mailto:email@example.com>
Prof. dr. Rudolf Müller, phone +31 43 3883799, e-mail firstname.lastname@example.org<mailto:email@example.com>
Prof.dr. Rudolf Müller
T +31 43 388 3799
M +31 6 41325231
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