[Expired] PhD Positions in Geometry of Markov Diffusion Processes for Efficient AI Algorithm Design
PhDFinder
Dato: for 12 timer siden
By: Århus, Region Midtjylland
Kontrakttype: Fuld tid
This position is no longer available.
University: EPFL
Country: Switzerland
Deadline: Not specified
EPFL invites applications for two fully funded PhD positions in the exploration of geometrical approaches to Markov diffusion processes, with the goal of designing more efficient AI algorithms. The positions are based in the LTS2 Lab, which offers a dynamic, interdisciplinary research environment with strong collaborative ties across biology, neuroscience, and artificial intelligence. The successful candidates will have the opportunity to contribute to both theoretical advancements and practical applications, including generative AI for molecular biology.
Requirements
– Outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field
– Strong analytical background
– Proficiency or willingness to learn geometric deep learning, signal processing, statistics, and learning theory
– Self-driven, with strong problem-solving skills and creative thinking
– Professional command of English (written and spoken)
– Eligibility for and acceptance to the EPFL doctoral program in Electrical Engineering (separate application process)
– Submission of a motivation letter, detailed CV, contact information, and at least two references willing to provide recommendation letters
Main Duties
– Develop and conduct independent dissertation research
– Collaborate closely with academic and industry partners
– Design and execute experiments; analyze and interpret results
– Prepare scientific articles for peer-reviewed publication
– Present findings at international conferences
– Supervise student projects
Employment Details
– 4-year PhD program with competitive remuneration
– 1-year fixed-term contract, renewable up to 4 years
– Access to state-of-the-art research facilities and a multicultural work environment
Application Process
Applications must be submitted via the official online platform: https://careers.epfl.ch/job/Lausanne-PhD-Exploring-the-geometry-of-Markov-diffusion-processes-to-design-more-efficient-AI-algorithms/940311074/
For further information, please contact [email protected].
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/register
Also See
University: EPFL
Country: Switzerland
Deadline: Not specified
EPFL invites applications for two fully funded PhD positions in the exploration of geometrical approaches to Markov diffusion processes, with the goal of designing more efficient AI algorithms. The positions are based in the LTS2 Lab, which offers a dynamic, interdisciplinary research environment with strong collaborative ties across biology, neuroscience, and artificial intelligence. The successful candidates will have the opportunity to contribute to both theoretical advancements and practical applications, including generative AI for molecular biology.
Requirements
– Outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field
– Strong analytical background
– Proficiency or willingness to learn geometric deep learning, signal processing, statistics, and learning theory
– Self-driven, with strong problem-solving skills and creative thinking
– Professional command of English (written and spoken)
– Eligibility for and acceptance to the EPFL doctoral program in Electrical Engineering (separate application process)
– Submission of a motivation letter, detailed CV, contact information, and at least two references willing to provide recommendation letters
Main Duties
– Develop and conduct independent dissertation research
– Collaborate closely with academic and industry partners
– Design and execute experiments; analyze and interpret results
– Prepare scientific articles for peer-reviewed publication
– Present findings at international conferences
– Supervise student projects
Employment Details
– 4-year PhD program with competitive remuneration
– 1-year fixed-term contract, renewable up to 4 years
– Access to state-of-the-art research facilities and a multicultural work environment
Application Process
Applications must be submitted via the official online platform: https://careers.epfl.ch/job/Lausanne-PhD-Exploring-the-geometry-of-Markov-diffusion-processes-to-design-more-efficient-AI-algorithms/940311074/
For further information, please contact [email protected].
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/register
Also See
- PhD Position in Hydrogen Uptake and Diffusion in Metal Barriers for Hydrogen Gas Transport Pipes
- Postdoctoral Researcher in Algorithms and Computational Biology
- Postdoctoral Researcher in Computational Neuroscience
- Postdoctoral and Ph.D. Positions in Computer Science and Psychology at Princeton University
- Postdoctoral Research Positions in Data & Artificial Intelligence
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