PhD position in the Obermayer Lab

Neural Information Processing Group @ Technische Universität Berlin, Faculty IV, Institute of Software Engineering and Theoretical Computer Science

PhD Position in Computational Neuroscience

Field: Modelling Neural Population Dynamics and the Effects of External Stimulation

Deadline for applications: July 26, 2024

Earliest starting date: September 1, 2024

Tenure: 5 years

Salary grade: E-13 TV-L, 100 %

Reference number: IV-307/24

 

Working field:

Participation in the projects of our research group in the field of computational neuroscience on modelling neural dynamics and the effects of external stimulation; collaboration with theoretical, experimental, and clinical research groups of the CRC 1315 (https://www.sfb1315.de/) and the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/); assistance in the maintenance of the computer infrastructure of the research group; teaching tutorials for introductory courses in programming and algorithms & architectures for non-CS students. For information about our research group see https://www.tu.berlin/en/ni.

 

Requirements:
Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in nonlinear dynamics; a very good command of the English and German languages; the ability to teach in German; very good programming skills. Experience in modelling neural systems and teaching experience are desirable.

How to apply:

Please send your application with the usual documents (including CV, transcripts of records, German language certificate for non-native speakers) exclusively by e-mail to Prof. Dr. Klaus Obermayer at klaus.obermayer@tu-berlin.de.

 

 

 

 

Two PhD positions in the Lindner Lab

Field: Theory of complex systems and neurophysics

Salary: TV-L 13, 75%

To be filled: October 2024

Application due: July 17, 2024 (first position) and July 24th, 2024 (second position), however, later applications might still be considered

Reference number: DR/084/24 (applies to the second position only; the first position does not have a reference number)

Funding time: 3 years

 

(1)

Efficient representations of fast dynamic stimuli in populations of ON- and OFF-cells

Within the DFG priority program "Evolutionary Optimisation of Neuronal Processing" and in an experiment-theory collaboration with the Benda/Grewe lab in Tübingen, we are looking for a PhD candidate to work on signal transmission of time-dependent signals in the electrosensory system of weakly electric fish. Specifically, we are interested in the following research questions:

1. How are high-frequency signals efficiently encoded in ON-OFF-pathways despite strongly reduced firing rates?

2. What is the impact of feedback on the representation of high-frequency information in ON-OFF-pathways?

In order to get an idea about similar approaches pursued in the past, have a look at some of the joint publications of the Benda lab and the Lindner group:

Fisch et al. J. Neurosci. 32, 17332 (2012)
Sharafi et al. J. Comp. Neurosci. 34 , 285 (2013)
Grewe et al. PNAS 114 E1977 (2017)

The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects.

Funding is provided for three years, starting in the fall 2024. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see: https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula.

Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to me: benjamin.lindner@physik.hu-berlin.de 
(CC to officebl@bccn-berlin.de)

The deadline for applications is July 17, 2024, however, later applications might also be considered.

 

 

(2)

Universal description of stochastic oscillators - higher dimensional examples, extraction of the mapping from data, and networks of oscillators

Within a DFG-funded project, I am looking for a PhD candidate to work on the theoretical description of stochastic oscillations. Specifically, we want to apply and generalize a recently developed universal description of stochastic oscillators (Perez-Cervera et al. PNAS, 2023) in three respects:

(i) it should be applied to oscillators that have higher dimensions than two going beyond what has been studied before;

(ii) the nonlinear transformation at the core of the procedure should be extracted from (simulation or experimental) data;

(iii) the theory for coupled stochastic oscillators will be more thoroughly grounded and, moreover, extended to the case of networks of stochastic oscillators (more than two oscillators, the case previously investigated).

These explorations and extensions of the framework have potential applications for the theoretical description of many systems outside of thermodynamic equilibrium, in particular in biology and neuroscience.

The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects.

Funding is provided for three years, starting in the fall 2024. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see: https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula.

Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to me: benjamin.lindner@physik.hu-berlin.de 
(CC to officebl@bccn-berlin.de), stating the reference number DR/084/24.

The deadline for applications is July 24, 2024, however, later applications might also be considered.

 

Contact:
Prof. Dr. Benjamin Lindner
benjamin.lindner(at)physik.hu-berlin.de

 

PhD position in the Blankertz Lab

Field: Neurotechnology

Salary: TV-L 13, 100%

To be filled: as soon as possible

Application due: March 29, 2024

Reference number: IV-94/24

Tenure: 5 years (part time might be possible)

 

The Neurotechnology group offers a position for a research associate (m/w/d) at a pioneering interface of research and teaching in different scientific disciplines. The group brings together members with backgrounds in computer science, mathematics, and computational neuroscience. Our research focuses on the development of algorithms for analyzing and classifying EEG data as well as algorithms for games and puzzles. Our expertise includes classical machine learning, deep learning, Riemannian geometry, realistic neural networks, and algorithmics.

Requirements:

Full information and instruction for applying: https://www.jobs.tu-berlin.de/en/job-postings/179494

Contact:
Benjamin Blankertz
Berlin Institute of Technology
Chair for Neurotechnology
Sekr. MAR 4-3,
Marchstr. 23
D-10587 Berlin
contact@neuro.tu-berlin.de
Phone (+49 30) 314-78626