Postdoc Position in Social Natural Language

Vor 4 Tagen

Martigny, Schweiz Reasoning & Explainable AI Vollzeit

**About Idiap**

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.

**Job description**

This is an exciting opportunity to work at the interface between Large Language Models (LLMs), Graph Learning and Social Media Intelligence. Working in close collaboration with the Machine Learning Group at Idiap and the Social Intelligence startup/scale-up Bloom, this position will focus on advancing the state-of-the-art on methods to create models for supporting social intelligence. These methods directly dialogue with the construction of AI models which can support the interpretation of social trends.

Appointment for the position is for 24 months (with the perspective of renewal depending on funding availability). Starting date is as soon as possible.

Informal inquiries can be addressed to

**Sought profile**
Essential:

- hold a Ph.D. degree in computer science or related areas (or close to completion)
- have a background in natural language processing or machine learning, evidenced by high-quality publications
- previous project experience in developing complex deep learning based models (e.g. in NLP or Computer Vision)
- solid English communication (scientific writing and speaking)
- confident in Python programming

Optional:

- Pytorch experience
- previous work in generative models, graph neural networks will be considered a plus.

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