Speculative Application for the Neuro-Symbolic AI group W/M
Subsidiary : Neuro-Symbolic AI
Contract type: Fixed-Term contract
Work time: Full time
Idiap is an independent, not-for-profit, research institute
accredited and funded by the Swiss Federal Government, the State of
Valais, and the City of Martigny.
Idiap offers competitive salaries and working conditions at all levels in a dynamic, multicultural environment. Idiap is an equal opportunity employer. We specifically encourage women and minorities to apply.
Idiap is located in the town of Martigny in Valais, Switzerland, offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Although Idiap is located in the French part of Switzerland, English is the official working language.
For frequently asked questions (FAQs) about living in Switzerland, please go to https://www.idiap.ch/en/faq
The Neuro-Symbolic AI group is always open to speculative
applications for the following positions: postdocs, PhD and internship.
There is no specific deadline, applications can be submitted at any
In addition to the usual CV, we strongly encourage applicants to clearly identify how they could contribute to our activities. Applications providing a clear research plan (one page maximum) are also very much encouraged and will be given full attention.
Appointments as a PhD student are typically for 4 years, conditional to successful progress, and should lead to a PhD dissertation, granted by the “Ecole Polytechnique Fédérale de Lausanne (EPFL)”. A PhD first year annual gross salary starts 47’040.- CHF.
Working at Idiap in Martigny, the successful candidate will become a
doctoral student at EPFL, and thus also has to be accepted for enrolment
there before joining Idiap.
Candidates should hold a master degree, in engineering, physics, computer science, or applied mathematics. She or he should also demonstrate a strong background in statistics, linear algebra, C/C++ programming, Perl and/or Python scripting languages, and Linux environment.
Postdoc appointments are typically for one year, with possibilities of renewal for a maximum of 4 years, conditional to performance. A postdoc first year annual gross salary starts at 80’000.- CHF .
Candidates should hold a PhD degree in engineering, physics, computer science, or applied mathematics. They should also demonstrate excellent research experience in their field, strong publication record (comparing well with peers with same seniority level), and ability to do creative and significant research with relative level of autonomy. Applicants should also demonstrate a strong background in statistics, linear algebra, signal processing, C/C++ programming, Perl and/or Python scripting languages, and Linux environment.
Our internships usually last a few months and are paid.
Applicants should also demonstrate a strong background in statistics, linear algebra, signal processing, C/C++ programming, Perl and/or Python scripting languages, and Linux environment.
The ideal Ph.D student should have a master (or equivalent) degree in engineering, physics, applied mathematics or similar. Graduates of neuroscience programs would also be well qualified. S/he should have a good background in mathematics, statistics, and programming (C/C++, Python, scripting languages). In order to balance the group, we especially encourage female applicants. However, all applications will be judged on merit.
The student will be registered at EPFL and located at Idiap.
The Postdoc candidate will work under supervision of one of senior researchers at Idiap, together with other colleagues from the Reasoning & Explainable group.
The Postdoc candidate should hold a PhD in relevant fields, while demonstrating excellence and motivation in research in general, and in the targeted research areas. A background in one of the following relevant fields - statistics, applied mathematics, optimization, linear algebra, signal processing - is expected. Postdoc applicants should ideally have good expertise in hidden Markov models, deep neural networks, and/or statistical language modeling/natural language understanding.
The applicants should also have strong programming skills and be familiar with Python, C/C++, and with the Linux environment.
The ideal candidate should follow a M.Sc. program or hold a M.Sc. degree in computer science, electrical engineering or related fields. She or he should have a background at least in one of the following fields: statistics, applied mathematics, linear algebra, signal processing.
The applicant should also have strong programming skills and be familiar with Python, C/C++ (MATLAB is not a plus), some of the scripting languages and with the Linux environment.
Shortlisted candidate may undergo a test including technical reading and writing in English and programming (in Python and/or C/C++).
In order to avoid discrimination, please do not mention your gender, age and marital status on your CV.
- English - Level advanced
- French - Level beginner