Open Positions

We have open call for HOMER and xLungs projects for following positions. If you are interested in any of them please send your CV and Motivation Letter to przemyslaw.biecek at gmail.com. We reserve the right to contact only selected candidates.

Summer Internships 22

This year we have 6 projects open for summer internships!

The time to apply is May 8 - by the end of the day.

Applications must be submitted through the form.

Project descriptions can be found on this GitHub page.

Each of the projects assumes a full-time commitment for two months during the summer break. Exact dates can be specified with a mentor.

The internships are funded from HOMER and xLungs projects.

Participation in the internship is connected with the fix remuneration in the amount of 6k PLN (umowa o dzieło).

Deep Learning Engineer

Required:

  • Background in Computer Science, Mathematics, Statistics or similar.
  • Experience in Deep Learning for 2d/3d image data (*torch is a plus)
  • Interest in medical applications

Scope of work:

  • Training of machine learning models for tabular and image data
  • Responsible ML solutions for the healthcare domain

Offer:

  • Excellent atmosphere for work in a young and very active lab
  • Conferences and training budget
  • Short visits in cooperating abroad group
  • Access to CPU / GPU clusters
  • Elastic working hours that can be combined with studies

Research Software Engineer

Required:

  • Background in Computer Science, Mathematics, Statistics or similar.
  • Experience in Scientific Programming (R and/or Python and/or C++)
  • Interest in applications, machine learning and explainable artificial intelligence.

Scope of work:

  • Training of machine learning models for tabular and image data
  • Interpretable solutions for tabular and image data
  • Interactive interfaces
  • Responsible ML solutions for the healthcare domain

Offer:

  • Excellent atmosphere for work in a young and very active lab
  • Conferences and training budget
  • Short visits in cooperating abroad group
  • Access to CPU / GPU clusters
  • Elastic working hours that can be combined with studies

Post-doc

Required:

  • PhD in Computer Science, Mathematics, Statistics or similar. (Different background? We encourage cross-domain short research visits).
  • Experience in Scientific Programming (R and/or Python and/or C++)
  • Good track of Scientific Records

Scope of work:

  • Automated model exploration
  • Interpretable measures for model performance
  • Meta/transfer learning in automated model development
  • Automated model validation
  • Experiments with XAI for deep learning

Offer:

  • Excellent atmosphere for work in a young and very active ML lab
  • Conferences and training budget
  • Short visits in cooperating abroad group
  • Access to CPU / GPU clusters
  • Full-time job at Warsaw University of Technology
  • plus results-driven extras
  • contract for 6 months (short visit) / 12 months or 24 months (long visit)

ARES

PhD position funded by the PRELUDIUM BIS grant ARES (Attack-Resistant Explanations toward Secure and trustworthy AI).

Machine learning explainability, fairness, robustness, and security are critical elements of trustworthy Artificial Intelligence, an area of strategic importance. The main goals:

  • develop adversarial attacks on state-of-the-art explanations to investigate vulnerabilities and limitations of the existing explainability and fairness approaches in machine learning, and
  • introduce novel robust explanations that are stable against manipulation and intuitive to evaluate.

These are targeted at progressing responsible machine learning toward a secure and trustworthy adoption of AI solutions.

Join us, and change the way how ML models will be explained and evaluated.

PhD student

Required:

  • MSc in Computer Science, Mathematics, Statistics or similar. (Different background? We encourage cross-domain research short visits).
  • Experience in Scientific Programming (R and/or Python and/or C++)
  • Strong motivation

Scope of work:

  • Automated model exploration
  • Concept drift detection
  • Reinforcement learning for Human-Centered AI
  • Knowledge extraction from representations
  • Experiments with XAI for deep learning

Offer:

  • Excellent atmosphere for work in a young and very active ML lab
  • Conferences and training budget
  • Short visits in cooperating abroad group
  • Access to CPU / GPU clusters
  • PhD scholarship
  • plus results-driven extras
  • contract for 6 months (short visit) / 3.5 years (full PhD)