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PhD position @ RPL, KTH Royal Institute of Technology, Stockholm, Sweden.

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Miguel Vasco

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May 28, 2024, 4:07:56 PM5/28/24
to Reinforcement Learning Mailing List

Application deadline: June 6, 2024

Supervisors: Danica Kragic, Miguel Vasco, Petra Poklukar

More information about the position: https://www.kth.se/lediga-jobb/721773?l=en


The Robotics, Perception and Learning Division @ KTH Royal Institute of Technology is seeking for a PhD candidate with a strong background in representation learning and reinforcement learning. The project investigates the application of learning methods to efficiently adapt multimodal representation models with potential applications to real-world physical systems. For more information about the project, please refer to the link: https://drive.google.com/file/d/1QbOOYPe-GN7MEgBVXzzQpcvIwta0MyjH/view?usp=sharing


Requirements:

  • A master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field;

  • Strong theoretical and practical background in representation learning and reinforcement learning;

  • Proficiency in programming languages such as Python and familiarity with AI frameworks like PyTorch, Tensorflow and/or JAX;

  • Fluent in English, with outstanding written and verbal communication skills.


To apply:

  • (Mandatory) Submit your application through the KTH website (https://www.kth.se/lediga-jobb/721773?l=en)

  • Submit your application as a single pdf with subject 'Application PhD position J-2024-1194-1' to: miguelsv [at] kth.se. Emails with different subjects will not be considered.


Please submit both applications. In your application, please include:

  • Cover letter;

  • One (or more, preferably), recommendation letters from senior researchers you've worked with that we can directly contact,

  • CV with list of publications or thesis/reports (the latter with pdf or pdf links),

  • Certified study/graduation certificates.


Please contact me (miguelsv[at]kth.se) if you have any questions regarding the position.


With Kindness,

Miguel

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