Assistant/Associate Professor in Statistical Learning

The Department of Data Analytics and Digitalisation is looking for an assistant/associate professor with a strong academic track record in theoretical and applied work in statistical learning or related areas, preferably with affinity with applications in business, economics and/or finance.

Job Description
The Assistant or Associate Professor contributes high quality research and education to the department and is committed to collaborate with other researchers within SBE as well as beyond. 

Responsibilities:

• Teaching: The candidate is expected to deliver high-quality and engaging lectures, tutorials, and workshops and coordinating courses in the areas of data analytics  and digitalisation to undergraduate, graduate, and postgraduate students.
• Research: Conducting innovative and impactful research in the field of statistical learning or related areas. The candidate is expected to contribute to funding acquisition and write grant proposals. 
• Curriculum Development: Collaborating with the faculty to develop and update course materials, ensuring they align with the latest advancements in the field.
• Student Supervision: Providing guidance and mentorship to undergraduate and postgraduate students on research projects, theses, and dissertations.

Requirements

• Educational Background: A PhD degree in econometrics, statistics, data science, computer science, operations research, mathematics, artificial intelligence or closely related fields.
• Teaching Experience: Prior experience in teaching data analytics and digitalisation courses at the university level is preferred.
• Research Track Record: The ideal candidate should have commitment to excellence in research, with a strong affinity for applied research and industrial projects. They should have proven expertise in data analytics and digitalization, demonstrated through publications, conference proceedings, and ongoing projects.
• Technical Skills: Proficiency in programming languages and a sound understanding of data analytics tools and technologies are desired.
• Communication: Excellent written and verbal communication skills in English are required. The department appreciates an open mind to multidisciplinary research and the ambition to combine rigor with relevance.

 What we offer
As Assistant/Associate Professor in Statistical Learning at School of Business and Economics, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale 11 according to UFO profile Lecturer 2, with corresponding salary based on experience ranging from € 4.537 and € 6.209 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 18 months with a scope of 1,0 FTE. 
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. 
   

The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University
Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM. 

The School of Business and Economics
The School of Business and Economics (SBE) is one of Maastricht University’s six faculties. Our mission is to contribute to a better world by addressing societal problems, by co-creating knowledge and developing team players and leaders for the future.

By joining SBE, you will be part of the 1% of business schools worldwide to be Triple Crown accredited (EQUIS, AACSB and AMBA). You will join an inspiring and international environment, where learning and development is priority. 

 
Department

The department of Data Analytics and Digitalisation (DAD) connects data science (mathematics, statistics, computer science, artificial intelligence) with business and economics research (finance, accounting, marketing, information management, operations, micro- and macroeconomics, policy design). We are responsible for conducting top-level research in data science for business and economics ranging from fundamental theoretical studies to applied industrial projects. We work in fields including machine learning, statistics, optimization, business intelligence, network science and digital transformation.

Curious?

Are you interested in this exciting position but still have questions? Feel free to contact Tom van der Zanden or Ron Triepels at T.vanderZanden@maastrichtuniversity.nl / R.Triepels@maastrichtuniversity.nl for more information. Do you have any questions regarding the procedure, please contact Manon Souren-Huppertz (Recruiter) at manon.souren@maastrichtuniversity.nl.

Applying?
Or are you already convinced and ready to become our new Assistant/Associate Professor in Statistical Learning? Apply now, no later than June 08, 2025, for this position.

Please upload your CV, motivation letter, two letters of recommendation, research plan and publication list. 

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.