PhD Monitor
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Computational Neuroscience● OpenPreview

PhD Position in Computational Neuroscience and Systems Biology

Decode brain-wide neural dynamics underlying survival behaviors using machine learning and dynamical systems.

Best for:Best for quantitative graduates with strong Python/MATLAB skills and an interest in neural data analysis and machine learning.

Karolinska Institutet · Stockholm, Sweden · R1 · First-stage researcher
More professors at Karolinska Institutet
Neural dynamicsSystems biologyMachine learning in neuroscienceGraph theoryBehavioral neuroscience
Deadline
Oct 30, 2026
15 days
Funding
Salaried
Månadslön
Start date
Flexible in 2026
Fixed-term
Location
Stockholm
Sweden

Overview

The Stagkourakis Lab at Karolinska Institutet and SciLifeLab in Stockholm is seeking a motivated PhD student in computational neuroscience. The project focuses on analyzing and modeling large-scale neural population recordings acquired during naturalistic behaviors in freely moving animals. The successful candidate will integrate graph-theoretic, dynamical systems, and machine learning approaches to understand how distributed neural ensembles encode internal states and drive survival behaviors. The position provides a four-year full-time doctoral studentship within a collaborative and cutting-edge research environment.

Computational NeuroscienceNeural Population RecordingsMachine LearningDynamical SystemsPythonSciLifeLab

What you'll do

  • Analyze and model large-scale neural population recordings from freely moving animals.
  • Develop analytical tools and computational models using machine learning and graph theory.
  • Investigate how distributed neural ensembles encode internal states and drive instinctual behaviors.
  • Collaborate with experimental researchers to integrate multimodal datasets.
  • Contribute to high-impact scientific publications and present findings at conferences.

Requirements

Degree required: Master's degree in Computational Neuroscience, Physics, Applied Mathematics, Computer Science, Bioengineering, or related field

Degree offered: PhD

Language: English; proficiency equivalent to Swedish upper secondary school course English B/English 6

Instruction: English

Required skills
  • Strong programming and data analysis skills in Python, MATLAB, or Julia
  • Experience with large-scale data analysis, signal processing, or statistical modeling
  • Ability to work both independently and collaboratively in an interdisciplinary team
  • Strong quantitative background and deep interest in neural computation and behavior
Nice to have
Knowledge of dynamical systems, network science, or machine learning applied to neuroscienceExperience with neural population analyses such as PCA, UMAP, GLMs, HMMs, or graph modelsFamiliarity with time-series analysis, state-space modeling, or causal inference methodsBasic experience with version control using Git and reproducible data pipelines
Eligibility
  • Awarded a second-cycle/master qualification, or satisfied course requirements comprising at least 240 credits with at least 60 credits at the advanced level, or equivalent knowledge

Funding & terms

Type
Salaried
Amount
Månadslön
Duration
4 years
Programme
Karolinska Institutet
Karolinska Institutet

How to apply

Deadline: 2026-10-30

Submit your application and all supporting documents through the Varbi recruitment system by clicking the application button. Ensure your application includes a personal letter, CV, degree projects, publications, and eligibility documentation. Applications can be written in English or Swedish.

Documents required
  • CV
  • Personal letter
  • Degree projects
  • Previous publications
  • Master's degree transcripts and certificates
  • English language proficiency documentation
↗Apply on site

Contact

Lab
Stagkourakis Lab
Karolinska Institutet
Sweden
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