[Job-offers-cs] Academic positions at Maastricht University School of Business and Economics

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [DMANET] Academic positions at Maastricht University School of 
Business and Economics
Date: Thu, 21 Mar 2019 14:39:08 +0000
From: Grigoriev, A (KE) <a.grigoriev at maastrichtuniversity.nl>
To: 'dmanet at zpr.uni-koeln.de' <dmanet at zpr.uni-koeln.de>

Position(s): Assistant Professors (Tenure Track) in Algorithms & 
Optimization, Computational Statistics, Machine Learning and Data Mining

Department/University: Department of Business Analytics, Maastricht 
University School of Business and Economics

Location: Maastricht, the Netherlands

Application deadline: March 31, 2019

JOB DESCRIPTION
The new department of Business Analytics at the Maastricht University 
School of Business and Economics (SBE) is committed to high quality 
research and education. Our goal is to combine academic technical rigor 
with industrial relevance and impact. The department is looking for 
talented and ambitious data scientists for several tenure track 
Assistant Professor positions in Business Analytics/Intelligence. 
Experts in Algorithms & Optimization, Computational Statistics, Machine 
Learning and Data Mining are especially encouraged to apply. The 
Assistant Professor contributes high quality research in the field of 
Business Analytics/Intelligence to the department and is committed to 
collaborate with the other researchers within SBE as well as beyond. The 
Assistant Professor teaches and coordinates courses in the area of 
Business Analytics/Intelligence in bachelor, in master, and in post 
graduate programs. The Assistant Professor contributes to the design of 
a new bachelor program in Business Analytics, to the development of this 
program and further development of the existing master programs related 
to Business Intelligence. Education is performed within small groups 
according to the Problem Based Learning principle. We strive to excel in 
teaching and in innovative teaching methods. All teaching at SBE is in 
English.

REQUIREMENTS
The applicant should hold a PhD degree in econometrics, statistics, data 
science, computer science, operations research, mathematics, artificial 
intelligence. The applicant should have commitment to excellence in 
research. The candidate must have strong affinity to applied research 
and industrial projects. The applicant should have acquired teaching 
experience. The department appreciates an open mind to multidisciplinary 
research, non-mainstream approaches to applications and data-driven 
research, and the ambition to combine rigor with relevance.

CONDITIONS OF EMPLOYMENT
The terms of employment of Maastricht University are set out in the 
Collective Labor Agreement of Dutch Universities (CAO). Furthermore, 
local UM provisions also apply. For more information look at the 
website: http://www.maastrichtuniversity.nl > Support > UM employees. 
Initially, candidates are employed on a temporary contract as assistant 
professor (level 2) and agree to specific development goals. Five years 
into the appointment, candidates will be evaluated and if the 
development goals have been met, promoted to assistant professor (level 
1) on a permanent contract. The evaluation can be brought forward if 
criteria are met earlier. On the candidate’s request the evaluation can 
be deferred in case of special personal circumstances, such as pregnancy 
leave, parental leave or chronic illness. Decisions about contract 
renewal, promotion and tenure are based on individual performance, 
principally in research and teaching. The tenure track criteria are 
ambitious but set so as to be attainable. Maastricht University salaries 
are competitive with those at the top European universities and annual 
teaching loads are comparable.

EMPLOYER
Maastricht University (www.maastrichtuniversity.nl) 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 16,300 students and 4,300 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 Science and Engineering, Faculty of 
Arts and Social Sciences, Faculty of Psychology and Neuroscience. The 
School of Business and Economics (abbreviated as SBE) is a high-level 
European school in the fields of Economics and International Business 
Administration and is accredited by both the AACSB and EQUIS. The school 
is located in the heart of Maastricht. The key characteristics of SBE 
are small-scale teaching methods, a portfolio of international study 
programs, and strong incentives for top-quality research. SBE attracts 
outstanding students from over 60 countries on its MBA, Bachelor, 
Masters, Ph.D., and executive education programs (all in English). Forty 
percent of the student population and thirty-five percent of the 
academic faculty come from outside The Netherlands.

DEPARTMENT
Department of Business Analytics is a brand new department in the School 
of Business and Economics. It is created to boost high quality 
collaborative multi-disciplinary research in the areas of business 
analytics and business intelligence. Data Science in Maastricht 
University is strongly represented by several collaborating units: 
Institute of Data Science, Institute of Business Intelligence and Smart 
Services, Department of Data Science and Knowledge Engineering, 
Department of Quantitative Economics, and the new Department of Business 
Analytics. The new department is responsible for design, starting and 
further developing of a new BSc program in Business Analytics, next to 
the existing MSc programs related to Business Intelligence. Moreover, 
Department of Business Analytics will disseminate and propagate data 
analytic knowledge and skills within SBE, participate in post-graduate 
educational programs of the faculty. Research and education at the 
department are expected to be at the highest European level and members 
of the department are expected to publish their research in the leading 
international journals. The department is committed to building a 
culturally diverse faculty and strongly encourages applications from 
female and minority candidates.

APPLICATION PROCEDURE
Applications should be sent electronically to 
recruitment-sbe at maastrichtuniversity.nl<mailto:recruitment-sbe at maastrichtuniversity.nl> 
ultimately 31 March 2019. Please, don't forget to mention the job 
vacancy number AT2019.072 in your letter. Applications must include 
curriculum vitae, a motivation letter, and two names of references as 
well as a relevant job market paper, and any available teaching 
evaluations. Selected applicants will be invited for an interview in 
April 2019.

Maastricht University is committed to nurturing an inclusive culture and 
a welcoming atmosphere. This inclusiveness strategy has resulted in a 
very diverse representation of nationalities and cultures. We strongly 
believe that diversity (including, but not limited to nationality, age 
and gender) of the staff and student population will increase the 
quality of UM education & research. Fostering diversity and inclusivity 
creates an academic community where individual talents thrive, and 
values and differences are cherished. We strongly encourage you to apply 
if you are qualified for this position.

For more information, please contact Alexander Grigoriev: 
a.grigoriev at maastrichtuniversity.nl<mailto:a.grigoriev at maastrichtuniversity.nl>