Based on a modern campus in Brig, UniDistance Suisse is a university institute accredited under the Higher Education Act (HedA), which for over 30 years has been offering Bachelor's, Master's and continuing education programmes in the fields of law, psychology, economics, history, mathematics and computer science. These programmes can be attended in parallel with family life, professional or sporting career, in a flexible distance- learning model.

UniDistance Suisse is dedicated to the highest quality standards in teaching and research. With almost 2,600 students, UniDistance Suisse is the leader in distance education in Switzerland. The institute employs more than 500 staff from all over Switzerland and abroad, nearly 450 of whom are involved in teaching and research.

To strengthen and further develop its research cluster in economic data science, the Faculty of Economics at UniDistance Suisse is looking for a:

Place of work: Brig/Switzerland
Start of work: 1^st August 2026 (or by appointment)

Join our team and contribute to ongoing research in applied econometrics, with a focus on causal inference and machine learning. The position includes the opportunity to contribute to a SNF research project, support teaching activities, and take part in research seminars and workshops. We also offer the possibility to pursue a PhD in Business and Economics.

Candidates with a Master’s degree in Economics or a related field and solid analytical skills are invited to apply. We particularly welcome applicants who are interested in the potential of online education and in working within a modern, digital environment.

• Conduct research focused on causal inference, data science, and machine learning
• Build a strong academic profile
• Collaborate actively on research projects with fellow researchers at UniDistance Suisse and across national and international institutions
• Assist in online teaching
• Attend and participate in research seminars, workshops, and related academic events

• Excellent Master's degree in in Economics, Econometrics, or a related field (completed or near completion)
• Strong analytical and quantitative skills, with solid training in econometric methods
• Interest or background in areas such as causal inference, causal machine learning, partial identification, or the use of large administrative data
• Experience with statistical programming languages such as R, Python, or Stata
• Ability to work independently and as part of a research team
• Excellent written and verbal communication skills in English

• Opportunity to pursue a PhD in Business and Economics
• Integration into a supportive and productive team, with the freedom to develop your own academic career
• A modern and flexible working environment that fosters your professional growth
• Attractive employment conditions