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The Computational Neuroscience lab led by Peter Dayan of the Max PlanckInstitute for Biological Cybernetics and the University of Tübingen, in collaboration with the Neurobiology of Vocal Communication Lab led by Lena Veit, invites applications for a Postdoc Research Fellow (m/f/d; E13 TVöD, 100%, 2 years).
This role involves developing statistical and computational models for characterizing and understanding the structure of animal vocal communication, starting with the songs of the Bengalese Finch.
This position is suited for researchers who have finished or are about to finish their PhD in a relevant discipline, such as computational neuroscience, cognitive (neuro-)science, machine learning, artificial intelligence, computer science, or psychology. The ideal candidate is self-motivated, comfortable with both analytic and critical thinking, and has a strong background in computational neuroscience, machine learning, or related fields. Relevant areas of expertise include computational modelling, signal processing, machine learning, and cognitive modeling. The applicant should have excellent programming skills, experience with advanced data analysis, and a strong publication record. The candidate should have a solid knowledge of the literature in relevant areas, and ideally have experience working in close collaboration with experimentalists.
The working language is English; command of the German language is not necessary.
The position, initially limited to 2 years with the possibility of an extension, is part of a newly established DFG research unit “Neural Basis of Vocal Communication” (FOR 5768), which investigates, through a collaborative approach across four research sites, how vocal communication is produced, coordinated, and learned across vertebrate species by mapping and comparing the underlying neural networks. Using behavioral studies, neurophysiological recordings, and computational modeling, we aim to uncover shared principles and species-specific adaptations of vocal communication. The position will be supervised by Peter Dayan and Lena Veit.
We offer remuneration in accordance with TVöD (collective wage agreement for the Public Service of the German Federal States) in addition to all the customary benefits granted to employees working in Public Services. The position is based at the Max Planck Institute for Biological Cybernetics along with the Werner Reichardt Center for Integrative Neuroscience which are both in Tübingen.
There are no formal teaching duties, allowing full flexibility for conducting research. There will be opportunities to mentor and work with PhD and MSc students working on related topics.
Tübingen is a scenic university town on the Neckar River in South-Western Germany. The quality of life is exceptionally high, and the atmosphere is diverse, inclusive, and most locals speak English. Tübingen offers excellent research opportunities due to the University, three Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium.
You can find out more about Tübingen here: https://www.tuebingen.de/ A
If you are interested in the position, please get in touch with Peter Dayan via email (agpd-applications@tue.mpg.de) enclosing your CV.
For formal applications, please send a motivation letter, your CV, up to two representative publications, and the contact information of two referees as a single PDF to Susan Fischer (susan.fischer@tuebingen.mpg.de).
The MPI for Biological Cybernetics is an equal opportunities employer. Applications of qualified women academics are especially encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications.
Preference will be given to applications received by 28th February 2026, but applications might be considered thereafter until the position is filled.
The Neurobiology of Social Communication Lab, led by Steffen Hage at the University of Tübingen, invites applications for a Postdoctoral Research Fellow (m/f/d; E13 TVöD, 100%, 2 years) with an interest in the neural mechanisms underlying vocal communication. The project focuses on how audio-vocal integration shapes vocal production and perception, and how cognitive and motivational processes contribute to these behaviors. We address these questions using a combination of psychophysical, neuroethological, neurophysiological, and computational approaches.
This position is suited for researchers who have completed or are close to completing a PhD in a relevant discipline, such as neurobiology, cognitive neuroscience, psychology, or bioengineering. We are looking for a self-motivated and reliable candidate with strong analytical and critical thinking skills, and a solid background in neurophysiology, neuroethology, computational neuroscience, or related fields. Experience in areas such as in vivo electrophysiology in awake, behaving animals, telemetric recording techniques, signal processing, computational modeling, and machine learning is highly desirable. The ideal candidate will have excellent programming skills, experience with advanced data analysis, and a strong publication record. The working language is English; proficiency in German is not required.
The position, initially limited to two years with the possibility of extension, is part of the newly established DFG research unit “Neural Basis of Vocal Communication” (FOR 5768). This collaborative initiative, spanning four research sites, investigates how vocal communication is produced, coordinated, and learned across vertebrate species by mapping and comparing the underlying neural networks. Combining behavioral studies, neurophysiological recordings, and computational modeling, we aim to uncover shared principles as well as species-specific adaptations of vocal communication. The position will be supervised by Steffen Hage and is based at the Department of Otolaryngology at the University of Tübingen and the Werner Reichardt Centre for Integrative Neuroscience. There are no formal teaching duties, allowing full flexibility to focus on research, alongside opportunities to mentor and collaborate with PhD and MSc students on related topics. You will join a collaborative and supportive research environment that encourages the open exchange of ideas. We value a strong team spirit, intellectual curiosity, and a positive, inclusive approach to working with colleagues from diverse cultural backgrounds.
For applications or informal inquiries, please contact Steffen Hage by email (steffen.hage@uni-tuebingen.de). To apply formally, please submit a single PDF including a motivation letter (with a brief statement of your research experience and interests), your CV, and the contact details of two referees. The University of Tübingen is an equal opportunities employer. We particularly encourage applications from qualified women; applications from candidates with disabilities will be given preference where qualifications are equivalent. For full consideration, please submit your application by Mai 15, 2026. Applications will continue to be reviewed until the position is filled.
The Computational Neuroscience lab led by Peter Dayan of the Max PlanckInstitute for Biological Cybernetics and the University of Tübingen, in collaboration with the Neurobiology of Vocal Communication Lab led by Lena Veit, invites applications for a Postdoc Research Fellow (m/f/d; E13 TVöD, 100%, 2 years).
This role involves developing statistical and computational models for characterizing and understanding the structure of animal vocal communication, starting with the songs of the Bengalese Finch.
This position is suited for researchers who have finished or are about to finish their PhD in a relevant discipline, such as computational neuroscience, cognitive (neuro-)science, machine learning, artificial intelligence, computer science, or psychology. The ideal candidate is self-motivated, comfortable with both analytic and critical thinking, and has a strong background in computational neuroscience, machine learning, or related fields. Relevant areas of expertise include computational modelling, signal processing, machine learning, and cognitive modeling. The applicant should have excellent programming skills, experience with advanced data analysis, and a strong publication record. The candidate should have a solid knowledge of the literature in relevant areas, and ideally have experience working in close collaboration with experimentalists.
The working language is English; command of the German language is not necessary.
The position, initially limited to 2 years with the possibility of an extension, is part of a newly established DFG research unit “Neural Basis of Vocal Communication” (FOR 5768), which investigates, through a collaborative approach across four research sites, how vocal communication is produced, coordinated, and learned across vertebrate species by mapping and comparing the underlying neural networks. Using behavioral studies, neurophysiological recordings, and computational modeling, we aim to uncover shared principles and species-specific adaptations of vocal communication. The position will be supervised by Peter Dayan and Lena Veit.
We offer remuneration in accordance with TVöD (collective wage agreement for the Public Service of the German Federal States) in addition to all the customary benefits granted to employees working in Public Services. The position is based at the Max Planck Institute for Biological Cybernetics along with the Werner Reichardt Center for Integrative Neuroscience which are both in Tübingen.
There are no formal teaching duties, allowing full flexibility for conducting research. There will be opportunities to mentor and work with PhD and MSc students working on related topics.
Tübingen is a scenic university town on the Neckar River in South-Western Germany. The quality of life is exceptionally high, and the atmosphere is diverse, inclusive, and most locals speak English. Tübingen offers excellent research opportunities due to the University, three Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium.
You can find out more about Tübingen here: https://www.tuebingen.de/ A
If you are interested in the position, please get in touch with Peter Dayan via email (agpd-applications@tue.mpg.de) enclosing your CV.
For formal applications, please send a motivation letter, your CV, up to two representative publications, and the contact information of two referees as a single PDF to Susan Fischer (susan.fischer@tuebingen.mpg.de).
The MPI for Biological Cybernetics is an equal opportunities employer. Applications of qualified women academics are especially encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications.
Preference will be given to applications received by 28th February 2026, but applications might be considered thereafter until the position is filled.
The Neurobiology of Social Communication Lab, led by Steffen Hage at the University of Tübingen, invites applications for a Postdoctoral Research Fellow (m/f/d; E13 TVöD, 100%, 2 years) with an interest in the neural mechanisms underlying vocal communication. The project focuses on how audio-vocal integration shapes vocal production and perception, and how cognitive and motivational processes contribute to these behaviors. We address these questions using a combination of psychophysical, neuroethological, neurophysiological, and computational approaches.
This position is suited for researchers who have completed or are close to completing a PhD in a relevant discipline, such as neurobiology, cognitive neuroscience, psychology, or bioengineering. We are looking for a self-motivated and reliable candidate with strong analytical and critical thinking skills, and a solid background in neurophysiology, neuroethology, computational neuroscience, or related fields. Experience in areas such as in vivo electrophysiology in awake, behaving animals, telemetric recording techniques, signal processing, computational modeling, and machine learning is highly desirable. The ideal candidate will have excellent programming skills, experience with advanced data analysis, and a strong publication record. The working language is English; proficiency in German is not required.
The position, initially limited to two years with the possibility of extension, is part of the newly established DFG research unit “Neural Basis of Vocal Communication” (FOR 5768). This collaborative initiative, spanning four research sites, investigates how vocal communication is produced, coordinated, and learned across vertebrate species by mapping and comparing the underlying neural networks. Combining behavioral studies, neurophysiological recordings, and computational modeling, we aim to uncover shared principles as well as species-specific adaptations of vocal communication. The position will be supervised by Steffen Hage and is based at the Department of Otolaryngology at the University of Tübingen and the Werner Reichardt Centre for Integrative Neuroscience. There are no formal teaching duties, allowing full flexibility to focus on research, alongside opportunities to mentor and collaborate with PhD and MSc students on related topics. You will join a collaborative and supportive research environment that encourages the open exchange of ideas. We value a strong team spirit, intellectual curiosity, and a positive, inclusive approach to working with colleagues from diverse cultural backgrounds.
For applications or informal inquiries, please contact Steffen Hage by email (steffen.hage@uni-tuebingen.de). To apply formally, please submit a single PDF including a motivation letter (with a brief statement of your research experience and interests), your CV, and the contact details of two referees. The University of Tübingen is an equal opportunities employer. We particularly encourage applications from qualified women; applications from candidates with disabilities will be given preference where qualifications are equivalent. For full consideration, please submit your application by Mai 15, 2026. Applications will continue to be reviewed until the position is filled.
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