The Computational Neuroscience group at the University of Bremen headed by Prof. Dr. Klaus Pawelzik offers - under the condition of job release - at the earliest possible date a position until February 28, 2025

Research Assistant /Postdoc in Computational Neuroscience (f/m/d)

German federal pay scale E13 TV-L (100 %)

for the research project

Efficient Implementation of Spike-by-Spike Neural Networks using Stochastic and ApproximativeTechniques

The overarching goal of our project is to improve the efficiency of spiking artificial neural networks using hardware and algorithmic approximation techniques. Specifically, the project focuses on Spike-by-Spike networks since they offer a balance between computational requirements and biological realism which keeps the advantages of the biological networks while enabling a compact technical realization. To fully take advantage of the unique features of SbS in terms of robustness and sparseness, dedicated hardware architectures are required.

You would join in with numerical simulations, theoretical analyses, as well as through the development of new ideas and approaches for boosting the performance and capabilities of the Spike-By-Spike model. Furthermore, you would also work on combining Spike-By-Spike networks with non spiking deep neuronal networks into hybrid models.

Details can be found at https://www.neuro.uni-bremen.de/drupal/open-position-sbs

Requirements:

Ideal candidates have a master's or doctorate degree in Computational Neurosciences, Physics, Computer Sciences or in related fields. They must have a strong background in mathematics, programming (preferably in Python/Matlab), and machine learning as well as an intense interest in neuroscience. An optimal candidate should not be afraid of cooperating with engineers, since this is a joint project with a focus on hardware development. Above all, he/she must have a strong motivation, a sense for responsibility, a distinct desire to learn, and the ability to proactively collaborate in an international research environment. Fluency in English is required (both written and spoken).

The Theoretical Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities.

The university is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity.

As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification priority will be given to disabled persons.

Please explicitly address each of the specified requirements in the application. Detailed instructions are described below. Please send your application documents (motivation letter, CV, copy of your degree certificates including high school, list of skills, awards, publications, contact details of two academic reference) until December 9th, 2022 by indicating the job id A326/22 to:

For questions of the research project please contact:

Prof. Dr. Klaus Pawelzik, E-Mail: pawelzik@neuro.uni-bremen.de

See also for general information on this topic:

http://www.neuro.uni-bremen.de/content/open-position-sbs

Detailed instructions for applicants

Your application must comprise:

Motivation letter

Your 1-2 page essay should reply the following questions:

• What is your background? In which fields have you worked before and how do you think this can be useful for the present job?

• What attracts you to the field of computational neuroscience?

• Which problem(s) in computational neuroscience are you most interested in?

• What is your motivation to join our project?

• What are your plans for your future career?

Curriculum Vitae

Send a classical tabular CV with your contact details, and all stages of education and employment.

List of skills, awards, publications

List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some.

Contact details of two academic references

One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted.

Your application can be in English or German, whatever language you are more familiar with.