Istituto Italiano di Tecnologia
4 days ago
Postdoctoral Position in AI-Based Movement and Behaviour Analysis in Neuroscience and Human Motion Analysis Istituto Italiano di Tecnologia in Italy
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two-year collaboration contract, renewable subject to funding. Yearly gross salary of 30,000 to 34,000 euro. Private health care coverage depending on role and contract. The position is financed by FISM within a project on computational and translational modeling for fatigue and fatigability in multiple sclerosis.
Deadline
Oct 31, 2026
Country
Italy
University
Istituto Italiano di Tecnologia

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About this position
Postdoctoral position at the Istituto Italiano di Tecnologia in Genova Morego, Italy, focused on AI-based movement and behaviour analysis for translational neuroscience and multiple sclerosis research.
The project is part of a joint initiative funded by the Italian Multiple Sclerosis Foundation (AISM/FISM) and involves Dr. Raffaella Tonini, Dr. Arash Ajoudani, Dr. Luca Berdondini, and Dr. Andrea Tacchino. The successful candidate will develop computational pipelines for markerless video tracking, AI-based human pose estimation, and quantitative analysis of movement and behavioural features from both animal models and human participants.
Research topics include machine learning, deep learning, computer vision, human motion analysis, behavioural quantification, time-series modelling, and multimodal data analysis. The work aims to identify translational motor features such as movement initiation latency, movement speed, gait characteristics, postural control, and motor variability across species.
Applicants should hold a PhD in a relevant field such as machine learning, AI, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, or signal processing. Strong Python and PyTorch skills, experience with scientific Python tools, Linux, Git, reproducible research, and a strong publication record are expected. Experience with markerless motion capture, multi-camera systems, OpenCV, GPU inference, Docker, and multimodal sensors is an advantage.
The contract is for two years, renewable subject to funding. The salary is €30,000–€34,000 gross per year, with private health care coverage depending on the role and contract. Applications must be submitted online with a CV, cover letter, and two reference letters. Deadline: 31 October 2026.
Funding details
Two-year collaboration contract, renewable subject to funding. Yearly gross salary of 30,000 to 34,000 euro. Private health care coverage depending on role and contract. The position is financed by FISM within a project on computational and translational modeling for fatigue and fatigability in multiple sclerosis.
What's required
PhD in machine learning, artificial intelligence, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning, with experience in computer vision, markerless pose estimation, movement analysis, behavioural quantification, time-series modelling, or multimodal data analysis. Excellent Python programming skills and experience with PyTorch preferred. Experience developing, training, validating, and optimising machine-learning models for movement and behavioural data, plus strong statistical analysis, experimental design, reproducible computational research, scientific Python libraries, Linux, Git, maintainable research software, and experimental dataset management. Strong publication record and excellent written and spoken English. Additional desirable skills include markerless motion capture, AI-based pose estimation, multi-camera systems, 3D reconstruction, gait/posture analysis, multimodal sensors, Transformers/GNNs/state-space models, OpenCV, GPU inference, Docker, and interdisciplinary collaboration.
How to apply
Apply through the online form and include a detailed CV, cover letter, and two reference letters. For informal discussion, contact [email protected]. The posting also links to the application portal and Euraxess page.
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