Switzerland Job Openings
Natural Language Understanding
PhD position in deep learning for natural language processing F/H
Martigny
FULL TIME
October 10, 2024
Duties include
The successful Ph D candidate will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson. She/he will also become a doctoral student at EPFL (http://www.epfl.ch) conditional on a parallel application to, and acceptance by, the EPFL Doctoral School (http://phd.epfl.ch/applicants).
Appointment for a Ph D position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Starting date is to be negotiated, but expected to be Jan-July 2025.
Your Profile
The ideal Ph D candidates should hold a Masters degree in computer science, artificial intelligence, or related fields. She or he should have a background in machine learning or natural language processing. The applicant should also have strong mathematical and programming skills.
Required language
Fluency in English. French is a plus.
About Idiap
Idiap is a research institute of national importance that engages in fundamental research, education and technology transfer in artificial intelligence, machine learning and signal processing. Idiap offers competitive salaries and conditions in a young, high-quality, dynamic, and multicultural environment. Idiap is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. English is the official working language.
At Idiap we place great emphasis on diversity and we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. Employment at Idiap is based solely on a person's merit and qualifications. Idiap does not discriminate against any employee or applicant because of race, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, marital status, pregnancy, or any other basis protected by law.
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