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Computational Neuroscience● OpenPreview

International Doctoral Programme in Computational Neuroscience

Join an interdisciplinary PhD programme at the Bernstein Center for Computational Neuroscience Berlin to advance brain research through computational modelling and interdisciplinary collaboration.

Best for:Best for researchers with a strong mathematical background and an MSc in computational neuroscience, neuroscience, computer science, physics, or related fields who are passionate about interdisciplinary brain research and computational modelling.

Technische Universität Berlin · Berlin, Germany · R1 · First-stage researcher
More professors at Technische Universität Berlin
neural modellinginterdisciplinary neurosciencebrain function analysiscomputational modellingneurobiology and cognitive science integrationmachine learning in neuroscience
Deadline
Register by 15 March 2027
Funding
Unfunded
6 semesters (3 years)
Start date
Winter semester (typically October)
Full-time
Location
Berlin
Germany

Overview

This doctoral programme at the Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin) offers a structured, interdisciplinary research environment where students from diverse backgrounds—including neurobiology, computer science, mathematics, and engineering—collaborate to understand brain function. Hosted by Technische Universität Berlin in partnership with Charité, Freie Universität Berlin, and Humboldt-Universität zu Berlin, the programme blends theoretical approaches, experimental data analysis, and computational modelling. Doctoral students engage in cutting-edge research, participate in seminars, workshops, and lectures by international experts, and develop tailored curricula to address their specific research needs. The programme emphasizes cross-disciplinary communication and provides structured supervision through faculty committees, ensuring rigorous academic progress and mentorship.

PhD in Computational Neuroscienceinterdisciplinary brain researchcomputational modellingneuroscience PhD programmeBerlin doctoral programmestructured PhD supervisionneurobiology and computer science collaboration

What you'll do

  • Conduct independent research in computational neuroscience under the guidance of a principal thesis adviser and co-adviser.
  • Develop and implement computational models to analyze neural data and simulate brain function.
  • Participate in interdisciplinary seminars and monthly invited talks by renowned international speakers.
  • Earn 15 ECTS in advanced topics related to your research and 10 ECTS in soft skills courses (e.g., project writing, scientific presentation).
  • Present your doctoral project in a seminar to foster interdisciplinary interaction and collaboration.
  • Engage in structured supervision meetings with your doctoral committee to monitor progress annually.
  • Potentially assist in teaching or tutorial activities within your research group.

Requirements

Degree required: MSc or equivalent degree in computational neuroscience, neuroscience, computer science, physics, mathematics, or a related field

Degree offered: PhD (Dr)

Language: English; B2 level required (e.g., UNIcert® II, IELTS 6.5, TOEFL iBT 87)

Instruction: English

Required skills
  • Strong mathematical background and analytical skills
  • Proficiency in computational modelling and data analysis techniques
  • Experience with programming and statistical software
  • Ability to work collaboratively across disciplines
Nice to have
Prior experience in neuroscience researchFamiliarity with machine learning algorithmsKnowledge of experimental neuroscience methods
Eligibility
  • Applicants must secure a position within a member group of the BCCN Berlin before applying.
  • No nationality restrictions; open to applicants from all countries
  • No minimum age requirement, but prior research experience is strongly encouraged

Funding & terms

Type
Unfunded
Amount
—
Duration
6 semesters (3 years)
Programme
Applicants must secure funding from their supervisor within a BCCN Berlin research group
Applicants must secure funding from their supervisor within a BCCN Berlin research group

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2024-03-15

Applicants must first secure a position within a member group of the BCCN Berlin. After securing a supervisor, they should apply through the official BCCN Berlin doctoral programme application portal. The application process involves submitting academic transcripts, a research proposal, language proficiency certificates, and other required documents.

Documents required
  • CV
  • MSc or equivalent degree certificate
  • Academic transcripts
  • Research proposal or project outline
  • Proof of English proficiency (e.g., IELTS, TOEFL, UNIcert®)
  • Letter of motivation
  • Letters of recommendation (if required by the supervisor)
  • Proof of secured funding from the supervisor
↗Check programme and admissions

Contact

https://www.bccn-berlin.de

Lab
BCCN Berlin
Technische Universität Berlin
Germany
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