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英國(guó)謝菲爾德大學(xué)(QS Top100) 招收計(jì)算機(jī)博士, 10月底申請(qǐng)截止!
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We are recruiting a PhD student to develop new algorithms for reinforcement learning from human feedback (RLHF), to effectively solve complex reinforcement learning tasks without a predefined reward function. The primary goal of this project will be the development of a novel RLHF framework that can learn more complex behaviours while requiring significantly less interactive human feedback than current RLHF methods. The direction of this project is highly flexible, and the student will have the opportunity to explore related directions that match their research interests. We intend for this project to explore applications of the new RLHF framework, such as fine-tuning and aligning large language models (LLMs), and the use of human feedback in robotics. The project may also explore the use of LLMs as part of the RLHF framework itself, to generate and/or interpret natural language feedback. The specific applications and research directions will depend on the student's own interests. The preferred starting date for this position would be in February 2026, but this is very flexible. Supervisors: Dr. Bei Peng, Dr. Robert Loftin Application deadline: October 31, 2025 Requirements: 1. A Bachelor's or Master's degree in Computer Science, Mathematics, or related field. 2. Solid programming skills and mathematical background in machine learning/reinforcement learning. 3. Proficiency in programming languages such as Python and familiarity with common deep learning and machine learning frameworks. 4. Good English communication skills, with an IELTS score of 6.5 or above (with no less than 6.0 in each component). Scholarship information: For UK home students, this is a fully funded 3.5-year PhD studentship. For international students, you will need to pay the difference between the UK and overseas tuition fees by securing additional funding or self-funding (i.e., the PhD studentship will cover tuition fees but not living expenses). More information and instructions for how to apply can be found here: https://www.findaphd.com/phds/project/improving-deep-reinforcement-learning-through-interactive-human-feedback/?p186459 (When applying, make sure you name Dr. Bei Peng and Dr. Robert Loftin as your proposed supervisors.) If you have any questions regarding the position, feel free to contact Dr. Bei Peng (bei.peng@sheffield.ac.uk) |
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