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Max Planck Institute for Software Systems

Postdoctoral Researcher in NeuroAI: Brain Alignment of Language Models Max Planck Institute for Software Systems in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral research position in an ERC Starting Grant project (BrainAlign) with substantial computational resources including a large GPU cluster. The post describes a funded team of three postdocs and two PhD students, but no stipend or salary amount is given.

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Country

Germany

University

Max Planck Institute for Software Systems

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Keywords

Computer Science
Cognitive Science
Deep Learning
Natural Language Processing
Neuropsychology
Neurocognition
Computational Modelling
Fmri
Large Language Models
ML

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About this position

Postdoctoral Researcher in NeuroAI at the Max Planck Institute for Software Systems in Saarbrücken, Germany.

The Bridging AI and Neuroscience (BrAIN) group, led by Mariya Toneva, is recruiting for the newly funded ERC Starting Grant project BrainAlign. The project sits at the intersection of machine learning, natural language processing, computational neuroscience, neuroimaging, and cognitive neuroscience.

Research focus: developing methods to integrate heterogeneous fMRI datasets and training/evaluating brain-aligned language models (BALMs) that learn from human brain activity during naturalistic language comprehension. The role will lead the computational neuroscience component and contribute to model development, evaluation, and experimental design.

Ideal background: PhD (or expected completion before start date) in computational neuroscience, machine learning, computer science, cognitive neuroscience, or a related field; strong ML/computational modeling experience; desirable experience with fMRI/neuroimaging; strong Python and PyTorch skills; strong publication record; excellent English; ability to work independently in a highly interdisciplinary team.

What is offered: an ambitious interdisciplinary research environment, substantial GPU resources, collaboration across AI and neuroscience, and opportunities for international conference travel and research collaborations.

Application: rolling review until the position is filled. Applicants should upload a CV with publication list, a summary of previous research, a statement of interest, and names of up to three referees.

Funding details

Postdoctoral research position in an ERC Starting Grant project (BrainAlign) with substantial computational resources including a large GPU cluster. The post describes a funded team of three postdocs and two PhD students, but no stipend or salary amount is given.

What's required

Applicants must have a PhD or expect to complete a PhD before the start date in computational neuroscience, machine learning, computer science, cognitive neuroscience, or a related discipline. Strong experience with machine learning and/or computational modeling is required, and experience with neuroimaging data, especially fMRI, is highly desirable. Strong programming skills in Python and modern deep-learning frameworks such as PyTorch are preferred. A strong publication record relative to career stage, ability to work independently in an interdisciplinary team, and excellent written and spoken English are required. Experience with NLP, language models, encoding/decoding models, representational similarity analysis, or cross-subject modeling is valuable but not required.

How to apply

Prepare and upload a CV including publication list, a summary of previous research, and a statement of interest. Also provide names of up to three possible referees through the application tool.

More information can be found here

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