Postdoc positions on statistical theory for biological neural networks

7 maanden geleden


Enschede, Nederland University of Twente Voltijd

The statistics research group at the University of Twente invites applications for two postdoc positions (up to 3 years) and for one PhD (four years). These positions are part of an ERC consolidator grant. The aim of the research program is to generalize the recent statistical theory from artificial neural networks to biological neural networks. While deep learning is inspired by the functioning of the brain, there are distinctive differences in terms of the underlying network structures and the learning. If the research is successful, it has the potential to provide insights into how the brain learns and may lead to recommendations on how to make AI more efficient with less data. The project is one out of four ERC CoG 2023 projects, that have been highlighted by the .

Your profile

You are an enthusiastic and highly motivated researcher. You have, or will shortly, acquire a PhD in the field of Statistics, Mathematics, or similar. You have a creative mindset and excellent analytical and communication skills. You have a good team spirit and like to work in an interdisciplinary and internationally oriented environment. You are fluent in English.

Our offer

You will be appointed for a period of maximum 3 years full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues. Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU); Gross salary between € 3877,- and € 5090,- per month depending on experience and qualifications; Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme; Free access to sports facilities on campus. A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis. Excellent support for research and facilities for professional and personal development. We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff. We are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.

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