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🚨 Postdoctoral Fellow in Predictive Pursuit | NTNU & ENS Paris
Institution: Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology (NTNU) & Group for Neural Theory, ENS-PSL
📍 Location: Trondheim, Norway 🇳🇴 with research visits to Paris, France 🇫🇷
🎓 Position: Computational Postdoctoral Fellow
🧠 Research Area: Predictive Pursuit | Computational Neuroscience | Machine Learning | Dynamical Systems | Behavioral Neuroscience | Neural Population Activity | Decision-Making | Systems Neuroscience
The Kavli Institute for Systems Neuroscience at NTNU, in collaboration with the Group for Neural Theory at École Normale Supérieure (ENS-PSL), is seeking a motivated Computational Postdoctoral Fellow to investigate the computational principles underlying predictive pursuit in freely moving rodents and dynamic agents.
The project is a joint position with Prof. Jonathan Whitlock at NTNU and Alex Cayco-Gajic at ENS Paris, combining behavioral neuroscience, computational modeling, machine learning, and dynamical systems.
🔬 What You’ll Work On
🧠 Predictive Pursuit & Decision-Making
Investigate how the brain anticipates and reacts to dynamically moving agents, and how internal models support pursuit behavior under changing sensory evidence and expectations.
🤖 Machine Learning & Dynamical Systems
Develop computational models combining machine learning and dynamical systems to understand pursuit strategies, behavioral states, and changes in strategy.
🐀 Behavioral Neuroscience
Analyze the behavior of freely moving rodents during closed-loop pursuit tasks, using high-resolution behavioral recordings.
🧬 Neural Population Activity
Study neural population activity using high-density Neuropixels recordings to connect behavioral strategies with neural dynamics.
💻 Large-Scale Data Analysis
Analyze large-scale behavioral and neural datasets to identify computational principles underlying predictive pursuit.
🎯 Key Research Areas
The postdoctoral research may involve:
- Predictive pursuit
- Computational neuroscience
- Systems neuroscience
- Behavioral neuroscience
- Machine learning
- Dynamical systems
- Computational modeling
- Neural population dynamics
- Decision-making
- Behavioral states
- Internal models
- Motor control
- High-dimensional behavioral datasets
- Neural recordings
- Neuropixels
- Motion capture
- Closed-loop experiments
- Quantitative analysis
🎓 Ideal Candidate
Applicants should have:
- A PhD in Physics, Computational Neuroscience, Computer Science, Engineering, or a related quantitative field.
- Strong expertise in machine learning, dynamical systems, computational modeling, or quantitative analysis.
- Experience analyzing large, high-dimensional datasets, preferably behavioral, video, or neurophysiological data.
- Experience with scientific programming, for example Python, MATLAB, or related programming languages.
- A strong academic record and documented research productivity.
- Strong written and oral communication skills in English.
- Ability to work independently and collaboratively in an interdisciplinary research environment.
🌟 What You’ll Gain
- Postdoctoral research experience at the Kavli Institute for Systems Neuroscience, NTNU.
- Collaboration with the Group for Neural Theory at ENS-PSL, Paris.
- Hands-on experience with high-resolution motion capture and behavioral datasets.
- Experience working with next-generation Neuropixels neural recordings.
- Exposure to machine learning, dynamical systems, and computational neuroscience.
- Opportunities for research visits to Paris, France.
- Experience connecting quantitative models of behavior with neural population activity.
- An international academic research environment with interdisciplinary collaboration.
- Access to NTNU career guidance and mentorship programs.
🧪 Research Focus
The project aims to understand how the brain anticipates and responds to dynamically moving agents and how internal models support behavior when sensory evidence or expectations change.
The research will combine:
- Machine learning
- Dynamical systems
- Computational modeling
- Behavioral neuroscience
- Neural population analysis
- High-resolution motion capture
- Neuropixels recordings
- Large-scale behavioral datasets
- Closed-loop pursuit experiments
The successful candidate will analyze large-scale behavioral and neural datasets to investigate how pursuit strategies change across different behavioral conditions.
👩🔬 Key Responsibilities
The successful postdoctoral researcher will be expected to:
- Develop machine-learning and dynamical-systems approaches for analyzing high-dimensional behavioral data.
- Model pursuit, movement, and performance dynamics to identify behavioral states and pursuit strategies.
- Analyze large-scale behavioral and neural datasets.
- Work closely with experimental researchers on quantitative data analysis.
- Conduct high-quality, independent research within the project framework.
- Publish research findings in high-impact academic journals.
- Present research at international conferences.
- Collaborate with researchers at NTNU and ENS Paris.
- Contribute to supervision of PhD and Master’s students.
📄 How to Apply
Interested candidates should submit their application through the NTNU recruitment portal.
📌 Application Materials:
- CV
- Statement of Research Interest — no more than one page
- At least 2 references — letters or contact information
- Relevant documentation of scientific work
Applications should clearly demonstrate how the applicant’s skills and experience meet the selection criteria.
🔗 Apply Here: https://nettskjema.no/a/655482
📌 Job Details
Institution: Norwegian University of Science and Technology (NTNU)
Institute: Kavli Institute for Systems Neuroscience
Collaborating Institution: École Normale Supérieure (ENS-PSL), Paris
Research Group: Group for Neural Theory
PI: Prof. Jonathan Whitlock
Collaborator: Alex Cayco-Gajic
Position: Computational Postdoctoral Fellow
Location: Trondheim, Norway
Research Visits: Paris, France
Starting Date: Spring 2027
Duration: 4 Years
Salary: NOK 604,900 per annum before tax, normally paid as Postdoctoral Fellow, code 1352
Research Areas: Predictive Pursuit | Computational Neuroscience | Machine Learning | Dynamical Systems | Behavioral Neuroscience | Neural Population Activity
Research Techniques: Machine Learning | Dynamical Systems | Computational Modeling | Motion Capture | Neuropixels Recordings | Large-Scale Data Analysis
Minimum Degree: PhD in Physics, Computational Neuroscience, Computer Science, Engineering, or related quantitative field
Preferred Expertise: Machine Learning | Dynamical Systems | Computational Modeling | Scientific Programming | Quantitative Analysis | Neural/Behavioral Data
Application Deadline: October 30, 2026
Application Mode: Online Application
Application Link: https://nettskjema.no/a/655482
Employment Period: 4 Years
Category
Postdoctoral Position | Computational Neuroscience | Predictive Pursuit | Machine Learning | Dynamical Systems | Systems Neuroscience | Behavioral Neuroscience | Neural Data Analysis | Computational Modeling | Neuropixels | NTNU | ENS Paris | Norway Postdoc Positions | France Research Collaboration
🏷️ Tags
#PostdocPosition #PostdoctoralResearcher #ComputationalNeuroscience #SystemsNeuroscience #PredictivePursuit #MachineLearning #DynamicalSystems #ComputationalModeling
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