The institute is active in all aspects of information management, focusing on the impacts of digital transformation, information representation and knowledge extraction. More information may be obtained from the intitute website : ?url=www.unine.ch%2Fimi&module=jobs&id=169503" target="_blank" rel="nofollow">?url=www.unine.ch%2Fimi&module=jobs&id=169503" target="_blank" rel="nofollow">www.unine.ch/imi
The University of Neuchâtel, by its human size (approx. 4500 students representing more than 100 nationalities), facilitates relations between the students and the teaching staff. The University is actively engaged in the implementation of its responsibility and provides non-discriminatory working conditions.
Teaching - Support for labs and seminars of the courses offered by the institute (profile: computer science, mathematics/econometrics); projects supervising, assignments evaluation, updating course ressources, exam preparation.
Research - The candidate is committed to achieve a PhD thesis in one of the institute’s fields of competence: data science (data mining, machine learning), knowledge representation (ontologies), information systems.
Academic qualifications: Master degree (obtained within the last five years) in one of the following domains: Computer Science, Information Systems, Applied Mathematics, Operations Research; or an equivalent title.
Successful candidates are expected to manifest a proven interest for research, strong analytical skills, capacity to work independently or as a team member, good scientific writing skills, good knowledge (understanding, communication and writing) of French (compulsory) and English.
Salary: according to the University regulations (?url=https%3A%2F%2Fwww.unine.ch%2Fsrh%2Fassistant-e-s-doctorant-e-s&module=jobs&id=169503" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.unine.ch%2Fsrh%2Fassistant-e-s-doctorant-e-s&module=jobs&id=169503" target="_blank" rel="nofollow">https://www.unine.ch/srh/assistant-e-s-doctorant-e-s)
An excellent working environment
Contact and Address
The application file (one single PDF), containing detailed curriculum vitae, a statement of interest, copies of diplomas accompanied by grades transcript and at least one letter of recommendation, should be sent by email to messagerie.imiunine.ch up to January 15th, 2022 (object : IMI PhD position 2022). A research proposal for the PhD thesis or an excerpt from the master thesis or a representative scientific publication will be strongly appreciated.
Further information can be obtained from Senior Lecturer Paul Cotofrei (paul.cotofreiunine.ch) or by visiting the website of the Institute.