PhD position on statistical theory for biological neural networks

5 Jan 2024
Job Information

Organisation/Company

University of Twente (UT)

Research Field

Technology

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

29 Feb 2024 - 22:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

40.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The statistics research group at the University of Twente invites applications for one PhD (four years) and two postdoc positions (up to 3 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 European Research Council .

Requirements
Specific Requirements

• You are an enthusiastic and highly motivated researcher.
• You have, or you will shortly acquire, a Master in 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.

Additional Information
Benefits

• As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting 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);
• You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);
• There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
• 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.
• Free access to sports facilities on campus.
• A family-friendly institution that offers parental leave (both paid and unpaid);
• You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
• We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.

Additional comments

Interested to be part of our team? Applicants are welcomed to submit their application before the 1st of March 2024 via the ‘Apply now’ button. Please include in your application:

• A brief motivation letter, emphasizing your specific interest and motivation to apply for a PhD position in our group.
• A full Curriculum Vitae. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position.
• An academic transcript of B.Sc. and M.Sc. education, including grades.

For further information about these positions, please contact Johannes Schmidt-Hieber, [email protected] .

Starting date of the position: After May 1, 2024

Website for additional job details

https://www.academictransfer.com/336373/

Work Location(s)

Number of offers available

1

Company/Institute

Universiteit Twente

Country

Netherlands

City

Enschede

Postal Code

7522NB

Street

Drienerlolaan 5

Geofield

Where to apply

Website

https://www.academictransfer.com/en/336373/phd-position-on-statistical-theory-f…

Contact

City

Enschede

Website

http://www.universiteittwente.nl/

Street

Drienerlolaan 5

Postal Code

7522 NB

STATUS: EXPIRED