PhD positions (m/f/d) in the Machine Learning and Artificial Intelligence (MLI) group

The Machine Learning and Artificial Intelligence group is a newly founded research group that works on the theory and development of novel algorithms for machine learning. The research focus of the group is on data-efficient learning methods with better generalization properties, on interpretable representations and latent discovery, and on geometric deep learning with applications in the natural sciences and medicine. Ultimately, we would like to gain insights into how to train better deep learning models and in interpreting their results.

Your role

The PhD student will carry out research and development on the theory and application of novel machine learning algorithms and models. Possible research topics include:

• Learning Theory
• Geometric Deep Learning
• Meta Learning
• Interpretability
• Variational Inference
• Contrastive Learning
• Causal Inference

What qualifies you for this job

Applicants should possess a master’s degree in computer science, mathematics, theoretical physics, or a related discipline. Candidates should preferably have a strong theoretical background in machine learning, a solid foundation in linear algebra, and excellent programming skills. Knowledge in mathematical optimization, topology, or differential geometry is a plus but not required. High motivation and enthusiasm to work within an international team as well as strong interpersonal and communication skills are required.
 
The environment of this job
 
You will be based at the Heidelberg Institute for Theoretical Studies, where you will find a first-class research environment and outstanding computational infrastructure, and a generous research budget.

We offer:

• An English-speaking, international and thriving work environment.
• Strong international connections to academic and industrial research labs.
• Extensive social benefits, such as:
  • Subsidized cafeteria meals
  • Job ticket / Job bike
  • Allowance for further training and career development
  • Company pension plan and additional health care benefits
  • 30 days of paid vacation
  • Family-friendly working environment 

 
Learn more about Working at HITS. 
 
Informal enquiries on the post may be addressed to Jun.-Prof. Dr. Jan Stühmer
 
Applications will be reviewed on a rolling basis.
 
To apply, please submit  the following documents in a single PDF 

• Cover letter, including your motivation
• Curriculum vitae
• Names and contact information of three references.
• Summary of research accomplishments 

HITS gGmbH stands for equal opportunities and we strongly believe that our research benefits from inclusive and diverse teams.