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Phd Machine Learning Meets Choice Models
1 week geleden
Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research.
Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly an international place of knowledge.
Faculty of Economics and BusinessThe Faculty of Economics and Business offers an inspiring study and working environment for students and employees. International accreditation enables the Faculty to assess performance against the highest international standards. It also creates an exciting environment of continuous improvement. FEB's programmes, academic staff and research do well on various excellence ranking lists.
FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of Machine learning meets choice models available.
The PhD position is embedded in the research programme EEF of FEB's Research Institute. The project will be supervised by Dr M.K. (Maximilian) Osterhaus, Dr L. (Lingwei) Kong, Prof. W.(Weining) Wang.
Qualifications:
Organisation:
Conditions of employment:
We offer you in accordance with the Collective Labour Agreement for Dutch Universities:
- gross monthly salary from a minimum of € 2,770 which increases yearly to a maximum of € 3,53
- an additional 8% holiday allowance each year in May, and an additional 8.3 % end of year bonus in December
Starting date:
Preferably per 1 September 2024
Application:
- a motivation letter (1A4 max)
- a reference letter including the contact details of the referee
- a scan of your diploma including transcripts
- proof of English proficiency
- other relevant documents.
An assessment may be part of the procedure, consisting of psychological tests and an interview.
We provide career services for partners of new faculty members moving to Groningen.
Unsolicited marketing is not appreciated.
Information:
For information you can contact:
- Dr M.K. (Maximilian) Osterhaus (for more information on this specific project), m.k.osterhaus
- Dr L. (Lingwei) Kong (for more information on this specific project), l.kong
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