Student Research Opportunities

Collaborate with world-leading researchers and engineers on projects that push the frontier of AI forward.

At The Good AI Lab, we’re looking for students who want to take on ambitious technical challenges and see their work published at top international venues (e.g., CVPR, ICCV, ECCV, NeurIPS).

You will work alongside an international network of researchers and engineers from leading institutions, including KTH Royal Institute of Technology, University of Toronto, AMD, Silo AI, King, Technical University of Munich, Google, ETH Zurich, the University of Bologna, The World Bank, Geoguessr, and others.

Choose your track

• 🌱 Engineering Track — Applied AI Engineering
  Build and deploy advanced AI systems alongside experienced engineers. Deliver technically demanding solutions with tangible outcomes.

• 🧪 Research Track — Cutting-Edge AI Research
  Work on frontier research topics designed to push the boundaries of AI. Research projects are publication-driven, aiming for submission to top-tier international AI conferences.

Who we are looking for

PhD or MSc students with a strong background in deep learning, math, and coding. For the research track, experience in domain adaptation, generative AI, multimodal learning, or large language models (LLMs) is a strong plus.

Important to know

Positions are fully remote, with opportunities for in-person meetings. The compensation depends on the specific project and institutional affiliation; however, supervision commitment, GPUs, and dedicated support for bringing your work to publication are guaranteed. Our research projects aim for real academic contributions and publication in leading AI venues. These projects demand a level of commitment and excellence beyond a standard or MSc thesis — expect rigorous work, close mentorship, and meaningful outcomes.

Explore our work

Discover our latest research projects and publications at thegoodailab.org/research and thegoodailab.org/blog/semla.

Ready to make an impact?

Submit your CV and cover letter using our Google Form. Join a diverse, international team where your research is mentored, resourced, and geared toward publication.