Job Opportunities in Switzerland
September 24, 2024
Université de Lausanne
Lausanne
OTHER
Graduate Assistant in Large-Language and Generative Models for Recommender Systems
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.
The Faculty of Business and Economics (HEC) has been ranked in the top 30 institutions in the world by the Financial Times. The school offers one of the best Executive MBA in Europe.
The Department of Information Systems (DESI) seeks to build the skills and competencies required for the digital society with its research activities and teaching programs. The department is home of 10 renowned scholars of different disciplines of Information Systems and Computer Science.
The Faculty of Business and Economics (HEC) has been ranked in the top 30 institutions in the world by the Financial Times. The school offers one of the best Executive MBA in Europe.
The Department of Information Systems (DESI) seeks to build the skills and competencies required for the digital society with its research activities and teaching programs. The department is home of 10 renowned scholars of different disciplines of Information Systems and Computer Science.
Presentation
The Department of Information Systems at the University of Lausanne (UNIL) is opening a full-time Graduate Assistant position in the areas of recommender systems, large-language-models and generative AI. Recommender systems are becoming the crystal-ball of the Internet, and the advances in AI can help make these predictive models even more accurate, interpretable and useful for the enterprises.
Job information
Expected start date in position: Early 2025, or upon agreement
Contract length: 1 year, renewable 2 x 2 years, maximum 5 years
Activity rate: 100 %
Workplace: University of Lausanne, Chamberonne, Internef
Contract length: 1 year, renewable 2 x 2 years, maximum 5 years
Activity rate: 100 %
Workplace: University of Lausanne, Chamberonne, Internef
Your responsibilities
- 50% minimum dedicated to conducting research towards a Ph.D.
- 50% of your time will be dedicated in teaching and administrative tasks. In teaching, you will prepare and supervise exercises and hands-on sessions for AI-related courses, and you will supervise student projects.
Your qualifications
- Master’s degree in Computer Science, Information Systems or Engineering.
- Willingness to do research in recent advances of Machine Learning.
- Solid experience in software development, cloud usage, prototyping abilities for the web.
- Excellent analytical and communication skills.
- Existing publications in an established conference or journal are a plus.
- Fluency in English. Fluency in French is desirable.
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. Michalis Vlachos
michalis.vlachos@unil.ch
michalis.vlachos@unil.ch
Your application
Deadline: 15.10.2024 or until filled. Candidates are encouraged to apply as soon as possible.
Send your full application in PDF with the following:
Seeking to promote an equitable representaton of men and women among its staff, the University encourages applications from women.
Send your full application in PDF with the following:
- Motivation letter (why do you apply for this position, how your skills match, what topic do you want to investigate? (provide details) ).
- Curriculum vitae (1-2 pages) with names of references
- Your university transcripts (Bachelors and Masters level)
- PDF of your Master’s thesis (and possible recent research paper, scientific publication, etc.)
Seeking to promote an equitable representaton of men and women among its staff, the University encourages applications from women.
Additional information
UNIL is committed to equal opportunities and diversity.
www.unil.ch/egalite
UNIL supports early career researchers.
www.unil.ch/graduatecampus
www.unil.ch/egalite
UNIL supports early career researchers.
www.unil.ch/graduatecampus
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