PhD position in Deep Learning applied to Animal Behavior

European Commission; Deutschland; Vor Ort; EUR 36.000 - 48.000; Vollzeit

Zusammenfassung

Join the prestigious University of Bonn for a fully funded PhD position focused on deep learning applications in animal behavior. You will engage in cutting-edge research, honing skills in machine learning while working collaboratively in an internationally recognized research environment. The project offers access to high-performance computing and the support necessary for your scientific development and forward career trajectory.

Leistungen

Dynamic and interdisciplinary research environment

Access to high-performance computing infrastructure

Mentoring and support for scientific development

Opportunities for collaboration with experimental labs

Support for workshops and conferences

Qualifikationen

• Master’s degree or equivalent required.
• Strong programming and deep learning skills (Python, PyTorch, TensorFlow).
• Interest or experience in time series modeling preferred.

Aufgaben

• Develop machine learning methods for analyzing high-resolution behavioral data.
• Collaborate with neuroscientists and biologists on interdisciplinary projects.
• Present research results at conferences.

Kenntnisse

Programming

Deep Learning

Time Series Modeling

Ausbildung

Master’s degree in computer science, physics, mathematics, computational biology

Tools

Python

PyTorch

TensorFlow

Jobbeschreibung

Organisation/Company Data Science of Bioimages Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 30 Sep 2025 - 16:20 (Africa/Abidjan) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Fully funded Ph.D. Position (m/f/d) in Deep Learning applied to Animal Behavior

Institution/Department: Lamarr - Institute for Machine Learning and Artificial Intelligence &
Department of Information Systems and Artificial Intelligence, University of Bonn
Location: Bonn, Germany
Starting Date: from October 1, 2025
Contract Duration: 3 years, with potential for extension
Salary: According to TV-L E13 (German public sector salary scale)

Project Description:
We are seeking a highly motivated PhD student to join our research group at University of Bonn, working at the interface of machine learning, neuroscience, and behavioral biology. The project focuses on developing and applying deep learning models to quantify and interpret complex animal behavior from 2D and 3D kinematic recordings (multi-dimensional time series).
This interdisciplinary project combines computational modeling, self-supervised learning, and time-series analysis to explore how behavior encodes internal states, environmental context, and experimental perturbations.

Your Tasks:
• Develop machine learning methods (e.g., deep neural networks, representation learning,
generative models) for analyzing high-resolution behavioral data
• Contribute to ongoing interdisciplinary projects involving collaborations with
neuroscientists and biologists
• Present research results at international conferences and contribute to publications
• Participate in graduate training and group seminars
Your Profile:
• [required] Master’s degree (or equivalent) in computer science, physics, mathematics,
computational biology, or related fields
• [required] Strong programming and deep learning skills (Python, PyTorch/TensorFlow, data
analysis tools)
• [preferred] Interest or experience in time series modeling and behavioral analysis
• [required] A collaborative and self-motivated mindset
• [required] Proficiency in English (spoken and written); knowledge of German is not
required

We Offer:
• A dynamic and interdisciplinary research environment within an internationally recognized
university
• Access to high-performance computing infrastructure and behavioral datasets
• Mentoring and support for scientific development and career progression
• Opportunities for collaboration with experimental labs and external partners
• Support for participation in workshops, conferences, and training programs
Application Process:
Please send your application including:
• A cover letter (max. 1 page) outlining your motivation and fit for the position
• Curriculum vitae
• Contact details of 1–2 academic referees

Application deadline: 30.09.2025
Applications and further inquiries should be sent via email to: France ROSE, france.rose [at]
wanadoo.fr

University of Bonn is committed to diversity and equal opportunities. We welcome
applications from individuals of all backgrounds, including those with disabilities.

Where to apply

E-mail [e-mail]

Requirements

Research Field Computer science Education Level Master Degree or equivalent

Research Field Biological sciences » Biological engineering Education Level Master Degree or equivalent