Jobs · OTHR · Indiana

ELLIS PhD Program: Call for Applications 2025

Helmholtz Imaging · Indiana, United States · 3 days ago
OTHRFull-time

Program Overview

The ELLIS PhD Program is a cornerstone of the ELLIS initiative, dedicated to nurturing and educating the finest talent in machine learning and related research areas. It pairs exceptional students with distinguished academic and industrial researchers across Europe, offering a range of networking and training opportunities.

Supervision

Each PhD student is co-supervised by one ELLIS Fellow/Scholar or Unit Member and one ELLIS Fellow/Scholar, Unit Member or Member from a different European country. Joint supervision with a CIFAR fellow/Canadian AI Chair holder is also available as part of the ELLIS/CIFAR collaboration.

Student Experience

During their degree, students must conduct an exchange of at least 6 months with an international advisor. They can choose from three tracks:

  • Academic Track: Collaboration in AI/Machine Learning with an academic partner in another country.

  • Industry Track: Collaboration in AI/Machine Learning with an industry partner.

  • Interdisciplinary Track: Cross-domain collaboration with an academic partner specialized in a field unrelated to AI (e.g., biology, law, finance, etc.).

Research Areas

The program covers a broad spectrum of machine learning-driven research fields, including but not limited to:

  • AutoML

  • Bayesian & Probabilistic Learning

  • Bioinformatics

  • Causality

  • Computational Neuroscience

  • Computer Graphics

  • Computer Vision

  • Deep Learning

  • Earth & Climate Sciences

  • Health

  • Human Behavior, Psychology & Emotion

  • Human Computer Interaction

  • Human Robot Interaction

  • Information Retrieval

  • Interactive & Online Learning

  • Interpretability & Fairness

  • Law & Ethics

  • Machine Learning Algorithms

  • Machine Learning Theory

  • ML & Sustainability

  • ML in Chemistry & Material Sciences

  • ML in Finance

  • ML in Science & Engineering

  • ML Systems

  • Multi-agent Systems & Game Theory

  • Natural Language Processing

  • Optimization & Meta Learning

  • Privacy

  • Quantum & Physics-based ML

  • Reinforcement Learning & Control

  • Robotics

  • Robust & Trustworthy ML

  • Safety

  • Synthesis & Verification

  • Symbolic Machine Learning

  • Unsupervised Learning

  • Social Sciences & Humanities

  • Entrepreneurship & Tech transfer

How to Apply

To apply, interested candidates should register on the ELLIS application portal by October 31, 2025, 23:59 AoE. More information and registration details are available by October 31, 2025.

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