We are no long accepting applications for new positions or projects in Bonn. However, we do have open positions in Jakob’s new group for Computational Neuroengineering (CNE) at Technical University Munich. Check out the advertisement
To enquire, send an email to jobs@CNE.
Max Planck Research Group LeaderMail | TuebingenPage | CV | twitter | Office: C. EG 206 | Phone: + 49 (0) 228 9656 170
Jakob studied Mathematics at Oxford University, before getting interested in neuroscience during a research-internship at CSHL with Alex Koulakov and Karel Svoboda. He subsequently did a doctorate at the Max Planck Institute for Biological Cybernetics, working with Bernhard Schoelkopf and Matthias Bethge and a Postdoc with Maneesh Sahani at the Gatsby Computational Neuroscience Unit.
In 2012, he returned to the MPI in Tuebingen to set up a Bernstein Junior Research Group, before starting as a Max Planck Research Group Leader at caesar in 2015. He is a member of the `Junge Akademie’ of the Berlin-Brandenburg Academcy of Sciences and Humanities and the German National Academy of Sciences Leopoldina. From 01/10/2017 to 01/50/2018 he was a Professor at the Centre for Cognitive Science and Institute of Psychology at Technical University Darmstadt.
He is now a Professor of Neuroengineering in the Department of Electrical and Computer-Engineering at Technical University of Munich. He teaches in the Elite Master Program in Neuroengineering (MSNE), and is an associate member of the Graduate School for Systemic Neurosciences (GSN) at LMU.
Team AssistantMail | Phone: +49 (0)2289656-267 | Fax: +49 (0)2289656-9267
PostdocMail | Website | Office: C. EG 204 | Phone: +49 (0)228 9656-410
Pedro is a postdoc working in the group since January 2016. He is broadly interested in building biologically constrained theoretical models (combining methods from dynamical systems, statistical physics and machine learning) to guide new experiments and ultimately refine the models to further our understanding of neural systems.
Before joining the lab, Pedro was a postdoctoral research fellow working with Maneesh Sahani at the Gatsby Computational Neuroscience Unit, UCL. His PhD was supervised by Christian Machens at École normale supérieure in Paris (2012).
PhD StudentMail | Office: CEG 202 | Phone: +49 (0)228 9656-405
Giacomo got his Master’s in Bioengineering at the University of Padova in 2013. He joined the group as a PhD student in February 2014. His main project is the the development of statistical tools for the characterization of tuning properties and variability of neural population activity in primary visual cortex.
PhD StudentMail | Website | Office: C. EG 202 | Phone: +49 (0)228 9656-406
Jan-Matthis studied neuroscience in Amsterdam, Bordeaux, and Berlin for his Masters, and joined the lab in October 2014. He works on machine learning algorithms to quantify visually-guided behaviour, and develops statistical methods for mechanistic models.
PhD StudentMail | Office: C. EG 204 | Phone: +49 (0)228 9656-404
Marcel works on statistical data analysis for neural population recordings that are spatially and temporally subsampled. He studied cognitive science in Osnabrück and computational neuroscience in Tübingen.
PhD StudentMail | Office: C. EG 2.02 | Phone: +49 (0)228 9656-414
Alexandre studied both physics and mathematics at the University of Ottawa. Following a stint in Manfred Bayer’s E2 unit for experimental solid-state physics at TU Dortmund, he returned to his alma mater to join André Longtin’s Neurophysics and Nonlinear Dynamics group. He earned his Master’s of physics in January 2016 for extending eigenvalue solution methods to dynamical systems exhibiting both noise and delays. He has also developed a C++ framework for rapid development of integrators for such systems.
Alexandre joined the lab in February of 2016 with the primary goal of developing inference methods for biologically interpretable neural models. He was awarded NSERC’s Alexander Graham Bell scholarship to support these efforts, and was previously the holder of a Master’s research scholarship from the FRQNT. He is also an avid sailor, an activity he still occasionally practices when not attempting to reverse-engineer his own brain.
PhD studentMail | Office: C. EG 204 | Phone: +49 (0) 228 9656-408
Artur studied physics in Karlsruhe and cognitive science in Osnabrück. He is developing deep learning based inference algorithms for biophysical models.
PhD StudentMail | Office: C.EG.2.04 | Phone: +49 (0)228 9656-345
Florian is a neuroinformatician. He is a joint student between Mackelab and the department of Behavior and Brain Organization at caesar. He is also the brain behind this website and doubles as the resident computing wiz.
Poornima joined the lab as a student intern on a DAAD Rise Scholarship. She is currently pursuing an integrated Masters degree in Physics at IISER-Kolkata in India. In the group, she worked on a model for predicting the response of retinal neurons under electrical stimulation.
Kai Lun got a B.Sc. in Neuroscience at University of Bristol, UK. He is now doing his Master’s course in Neuroscience at University of Bonn. He joined the lab in August 2017 for a two-month lab rotation and was investigating the learning algorithms that allow spiking neurons to identify specific features. He is now doing his Master’s thesis on developing algorithms for decoding the object identity from the activity of simulated retina model.
Jan studied cognitive science in Osnabrueck and is now a Master’s student in computational neuroscience at the BCCN Berlin. He joined the lab for a lab rotation in July 2017 working on likelihood-free inference in balanced cortical network models with DELFI. He just finished his Master’s thesis ‘Model comparison in approximate Bayesian computation’ and will start as a PhD student in the lab in Munich in October.
Master's StudentMail | Office: C. EG 2.02
After joining the lab in April working on a stochastic solver for the Hodgkin-Huxley equations, Kaan was integrated into the workgroup developing DELFI. His main interests are applying mathematical and statistical methods to biological problems, artificial and natural intelligence, evolutionary biology and realistic simulations of biological systems.