Jobs at ML Hannover

We are looking for new team members for our AutoML group at the Leibniz University of Hannover. These can be either:

  • PhD student
  • PostDoc

A promising candidate should have the following mandatory skills:

  • An excellent first academic degree in artificial intelligence, machine learning, computer science, statistics or a related discipline.
  • A solid understanding and hands-on experience with machine learning and/or deep learning
  • Advanced programming skills in Python
  • Solid skills in scientific writing (shown by an excellent master thesis for PhD candidates, or published papers for PostDocs)

Further (optional) beneficial skills can include:

  • AutoML
  • Hyperparameter optimization
  • Neural architecture search
  • Algorithm configuration
  • Bayesian optimization
  • Meta-Learning and transfer learning
  • Reinforcement learning
  • Evolutionary strategies
  • Hard-combinatorial problem solving (e.g., SAT or ASP)

The concrete future research topic is up to negotiations, but has to be in the field of AutoML.

The salary scale for full-time positions is TV-L E13 (with a monthly gross salary between 3800 EUR and 4800 EUR, depending on experience and previous position).

Application materials comprise:

  • CV
  • Full set of transcripts
  • Research statement — brief statement of what drives you and what are your goals in applying to AutoML Hannover (at most 1 page)
  • At least 2 references (only for PostDocs!)
    • For each reference, please include name, title, and email address.
    • References should expect to be contacted for a reference letter.

Please submit these documents by September 27, 2019 to lindauer@tnt.uni-hannover.de.

Leibniz Universit├Ąt Hannover wants to particularly promote the professional equality of women and men, and therefore strongly recommends applications of qualified women.