PhD Positions in Cognitive Neuroimaging
Join a cutting-edge interdisciplinary PhD programme in cognitive neuroimaging with access to world-leading neuroimaging facilities in Leipzig.
Best for:Best for highly motivated candidates with a master’s degree in neuroscience, psychology, computer science, medicine, or related fields, seeking a structured PhD programme with access to top-tier neuroimaging facilities and interdisciplinary research opportunities.
Overview
The International Max Planck Research School (IMPRS) on Cognitive NeuroImaging offers a structured 3-year PhD programme focused on cognitive neuroscience, clinical neuroscience, and neuroimaging. Based across Leipzig, Dresden, and London, this programme provides access to state-of-the-art facilities, including 7T/9.4T MRI scanners, MEG systems, and advanced neuroimaging tools. Applicants will conduct research under the supervision of renowned scientists from Max Planck, Leipzig University, Dresden University of Technology, and UCL, contributing to interdisciplinary projects at the forefront of cognitive neuroscience. The programme emphasizes independent research, interdisciplinary collaboration, and training in cutting-edge methodologies, with opportunities for international research stays.
What you'll do
- Conduct independent and interdisciplinary research in cognitive neuroimaging under the supervision of leading researchers.
- Develop and implement innovative neuroimaging methodologies, including advanced MRI, MEG, EEG, and TMS techniques.
- Participate in a structured 3-year PhD programme with tailored training in theoretical and methodological aspects of cognitive neuroscience.
- Engage in interdisciplinary collaboration across partner institutions, including Leipzig, Dresden, and London.
- Present research findings at conferences and contribute to scientific publications.
- Develop an individual research project aligned with one of the three thematic modules: Cognitive Neuroscience, Clinical and Translational Neuroscience, or Development of Neuroimaging and Modelling Methods.
- Participate in hybrid teaching, flipped classroom activities, and remote learning elements to enhance research and academic skills.
- Receive mentorship and guidance through an individual development plan tailored to academic background and research goals.
Requirements
Degree required: Master’s degree (or equivalent) in cognitive neuroscience, computational neuroscience, translational neuroscience, psychology, medicine, neurobiology, computer science, biological engineering, medical engineering, mathematics, physics, neuroimaging, or related fields from an internationally recognised university. Students nearing completion of their master’s degree are also encouraged to apply.
Degree offered: PhD
Language: English; proficiency in oral and written English is crucial for teaching, supervision, and research.
Instruction: English
- Proven research experience in cognitive neuroscience, neuroimaging, or related fields.
- Strong proficiency in oral and written English (teaching and supervision language).
- Ability to work independently and self-organize in a multidisciplinary research environment.
- Familiarity with neuroimaging techniques such as MRI, MEG, EEG, or TMS.
- Experience with computational methods or programming (e.g., Python, R) is advantageous.
- Applicants must hold or be nearing completion of a master’s degree from an internationally recognised university.
- Applicants with a bachelor’s degree may be admitted in exceptional cases (details available on the website).
- No specific nationality or residency restrictions mentioned, but international applicants are encouraged to apply.
- No age restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-11-02
Applicants must submit their application through the online portal at https://cbs.cloud.opencampus.net. The application should include a CV, a research statement, transcripts, proof of English proficiency, and three letters of recommendation. Shortlisted candidates will be invited for virtual panel interviews in January 2027.
- Curriculum Vitae (CV)
- Research statement or project proposal
- Master’s degree transcripts and diploma
- Proof of English proficiency (if applicable)
- Three letters of recommendation
Contact
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