[DMANET] Academic positions at Maastricht University School of Business and Economics

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@maastrichtuniversity.nl<mailto:recruitment-sbe@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@maastrichtuniversity.nl<mailto:a.grigoriev@maastrichtuniversity.nl>
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