PhD Positions

Fully Funded PhD position in Probabilistic ML at KU Leuven

Project

We are establishing a new research group, focusing on probabilistic machine learning with applications to speech (audio) and theoretical (statistical) physics, at KU Leuven. We are focusing on uncertainty estimation and generative AI, both of which are active areas of research today. When AI models estimate uncertainty (or a posterior distribution, rather than a point estimate) while making predictions, they become more trustworthy and efficient. For instance, instead of transcribing an audio snippet as “this talk”, a speech recognition model could transcribe it as “this talk (60% confidence)” and “the stock (30% confidence)”. We also develop efficient sampling methods for high-dimensional systems using flow-based methods.

We are seeking a highly motivated PhD candidate who can bridge cutting-edge probabilistic ML research with impactful real-world applications — someone who deeply understands theoretical advances and brings creativity and practical skills to identify, design, and implement compelling use cases.

Profile

  • An ideal candidate has a master’s degree in Computer Science, Electrical Engineering, or Artificial Intelligence, with solid foundations in probability theory and machine learning. We particularly encourage applicants with above-average grades, awards, and scientific publications. Background in speech, signal processing, or statistical physics is a plus.
  • Excellent programming skills are necessary.
  • Excellent English language proficiency is required, along with strong oral and written communication skills.
  • The PhD students will work on research projects that involve frequent interactions with both internal and external researchers.

The positions can start immediately, and positions will be filled as soon as suitable candidates are found. Interested PhD candidates should submit their CV, transcripts, contact information for 2 or 3 referees, and a motivation letter (max 1-page) here. The motivation letter should clearly outline the interest in probabilistic ML and its applications, as well as any possible past experience in AI and related fields such as speech/physics.

Offer

  • A full-time PhD scholarship of 1 year, extendible until a maximum of 4 years.
  • A stimulating environment at Europe’s most innovative university, in a well-equipped, experienced, and internationally oriented research unit.
  • The research will be based at the Department of Electrical Engineering at the Arenberg Campus in Heverlee (close to the center of Leuven).

Interested?

Apply here. For more information, please contact Prof. Dr. Vipul Arora, mail: vipul.arora@kuleuven.be (please put [PhD application] in the subject of the email)