Doctoral students SNSF in Artificial Intelligence for Decision Making and Knowledge Creation

Introduction

UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.

Presentation

The Applied Artificial Intelligence Lab (AAIL) is opening two full-time SNSF PhD positions in information systems / computer science to conduct research at the intersection of artificial intelligence and management. Given the interdisciplinary nature of research, we draw on concepts, theories and methods from various disciplines, such as computer science, organization science, information systems and economics. The project should culminate in a thesis composed of at least three high-quality research papers targeted at the field's leading outlets.

The successful candidate is expected to enroll in the doctoral school in information systems at HEC Lausanne and will be supervised by Prof. Yash Raj Shrestha at AAIL ). At the lab, we aim to publish at reputed outlets in both management (e.g., Organization Science, Strategic Management Journal, Journal of Management, Strategic Enterpreneurship Journal), Computer science (e.g., IJCAI, EMNLP, AAMAS, ICDM, CIKM, CSCW, ICWSM, MICCAI) as well as interdisciplinary outlets (e.g., Nature Machine Intelligence, Nature Computational Sciences).

The positions are fully funded by Swiss National Science Foundation for four years.

Job information

Expected start date in position : early-mid 2026 / can be adjusted upon agreement

Contract length : 1 year, renewable 3 years

Activity rate : 100%

Workplace : University of Lausanne, Campus of Dorigny

Your responsibilities

In your activities, you will perform innovative research aimed at publication in top outlets.

At least 80% of the assistant's time will be dedicated to the research for the doctoral thesis.

You will also be involved in teaching and administrative tasks. For the teaching part, you will prepare and supervise exercises and hands-on sessions for bachelor and master courses, and you will supervise student projects.

Your qualifications

• Master's degree in computer science, management information systems, management or related field. Preferably with knowledge of machine learing or data science.
• Strong interest in doing research on the following topics: applications of AI in business and management, data-driven decision making, social aspects of AI
• Strong analytical and communication skills.
• Open to learning various research methods including statistical analysis, experimentation, surveys, qualitative methods, etc
• Interest in multidisciplinary projects involving computer science, management and information systems
• Fluency in English. Knowledge of French is a plus.

What the position offers you

We offer a nice working place in a multicultural, diverse and dynamic academic environment. Opportunities for professional training, a lot of activities and other benefits to discover.

Contact for further information

Prof. Yash Raj Shrestha

Your application

Deadline: We will review and process applications on a rolling basis, and the position will remain open until a suitable candidate has been selected and the position is filled.

Please include:

• A curriculum vitae (2 pages max.),
• Brief explanation of potential thesis topic (1 page max)
• A cover letter (1 page max),
• The name of up to three references willing to write recommendation letters (please put that in your CV)
• Your university transcripts (bachelor and master level),
• and an electronic version of a recent research project write-up (e.g., master thesis, scientific publication).

Please, send your full application in a single PDF.

Only applications through this website will be taken into account.

We thank you for your understanding.

UNIL is committed to promoting gender equality and strongly encourages applications from female candidates.

Additional information

UNIL is committed to:

• equality, diversity and inclusion within its community;
• ensuring an open and respectful environment that is conducive to personal development;
• offering working conditions that facilitate work-life balance;
• supporting early career researchers.

---