The Department of Theoretical Neuroscience (Head: Prof. Daniel Durstewitz) at the Central

Institute of Mental Health (Mannheim) invites applications for a

PhD student position (E 13 TV-L)

(50% of the fulltime weekly hours) in the newly founded research group Data-driven network

models of higher cognitive functions (Head: Dr. Joachim Hass) to be filled as soon as

possible. The position is initially limited for 3 years.

The research group develops biologically realistic computational neural network models of the

neocortical structures such as the prefrontal cortex and the motor cortex. These models closely

adhere to physiological data from both in vitro and in vivo experiments and are used to study

higher cognitive functions such as time perception and working memory.

The successful candidate will work in the project „The human mirror neuron system –

measurement and beyond“ funded by the Heidelberg Academy for Sciences and

Humanities. The joint project of the Departments of Theoretical Neuroscience and Clinical

Psychology of the Central Institute of Mental Health aims at a deeper understanding of the

mirror neuron system in humans, which is thought to play a crucial role in social cognition by

representing the emotions and intentions of others in the motor cortex. The project combines

multimodal measurements (involving fMRI, EEG, transcranial magnetic stimulation and

genotyping) with computational modeling.

The Central Institute of Mental Health is an internationally renowned research institute for

psychiatry and neuroscience as well as a clinic for psychiatry, psychotherapy and

psychosomatics (part of the medical faculty of the University of Heidelberg). The research group

closely interacts with neurobiologists and psychologists at the institute. The Department of

Theoretical Neuroscience is focused on computational modeling and statistical data analysis of

prefrontal cortex and hippocampus functions. It is one of the core research units of the

Bernstein Center for Computational Neuroscience (BCCN) Heidelberg-Mannheim. Access to

high-performance computing facilities is provided.

Tasks: The project involves the development of a rate-based, brain-scale model as well as the

further development of an existing spiking network model of the motor cortex. The resulting twostage

model is then being adapted to the multimodal experimental data using stochastic

optimization techniques. In particular, the effects of the transcranial magnetic stimulation and

different levels of dopamine and oxytocin are to be implemented in the model and directly

compared with the experimental data. Participation in the project organization and publication

writing is also expected. It is also possible to participate in the analysis of the fMRI data.

Requirements: The candidate should have a university degree (master or equivalent) in

physics, mathematics, computer science, computational neuroscience or similar, a strong

interest in neurobiological research and very good programming skills (ideally in MATLAB and

C). Good communication skills in English as well as knowledge in nonlinear dynamics,

numerical optimization or neural modeling are also required. Knowledge in neuroscience or

experimental psychology is beneficial.

Applicants should sent their application documents (cover letter including a brief description of

personal qualifications and future research interests, CV and contact details of two personal

references) to joachim.hass@zi-mannheim.de. Questions and informal discussions about the

position are also welcome under this email address. The call is open until the position is filled.

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Simone Seeger, M.A.

Administration Bernstein Center for Computational Neuroscience

Zentralinstitut für Seelische Gesundheit

Postfach 12 21 20, 68072 Mannheim

J5, 68159 Mannheim

Telefon: 0621/1703-1326 oder 06221/54-8310

Fax: 0621/1703-2915

E-Mail: Simone.Seeger@zi-mannheim.de

Internet: http://www.bccn-heidelberg-mannheim.de

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