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 pw.edu.pl. We reserve the right to contact only selected candidates.

PhD positions in 2023

Call for PhD Student: Research Opportunity in Foundation Model Redteaming

We are seeking a highly motivated and talented PhD student to join MI2.AI research team in the exciting field of foundation model redteaming. As the advancements development of AI models (especially transformer based with attention mechanism), it becomes crucial to ensure the robustness and security of the foundation models that underlie these advancements.

Project Description:

The selected PhD student will work on investigating potential vulnerabilities and biases in foundation models, such as language models (one PhD position) and 2D/3D computer vision models (one PhD position). Redteaming involves conducting adversarial assessments to identify weaknesses, uncover potential attack vectors, and develop defensive strategies for foundation models/transformer models. The research will explore various aspects, including data poisoning attacks, adversarial samples generation, and the development of countermeasures.

Requirements:

Proficiency in programming languages commonly used in AI research, such as Python, R or Julia. Familiarity with deep learning frameworks and libraries, such as PyTorch. Solid understanding of foundation models, including their architecture and training processes. Excellent problem-solving skills and ability to work independently and as part of a team. Good communication skills and proficiency in academic writing.

Interested candidates are requested to submit the following documents to przemyslaw.biecek at pw.edu.pl.

We look forward to receiving your applications and welcoming an enthusiastic and dedicated PhD student to contribute to our foundation model redteaming research endeavors.

Apply before June 30 the end of the day (June 10 in case of interest in MIM UW).

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

I am looking for a post-doc to join the MI2.AI team for one or two years within HOMER project. The ideal fit is someone with (experience in Medical Image Analysis with deep learning models) OR (someone with experience in AutoML for tabular data). Experience or interest in XAI / fairness will always be a huge plus in our team.

We have a young and very energetic team focused on growth in AI. Full time position. Salary above academic average. Little or no didactics. Strong focus on doing things that are meaningful.

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)