Position Summary
We are looking for an exceptional Intern Researcher to join us here at the Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.Role and Responsibilities
Cutting-edge research to develop state-of-the-art solutions to existing problems and/or propose novel research challenges considering real-world case studies in AI.
Development of high quality code with detailed documentation to support reproducible research in local and international research communities in AI.
Publication in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR.
Skills and Qualifications
Essential:
Currently studying for a PhD in Computer Science, Engineering, Mathematics or a related discipline (or just completing).
Proficiency in elementary topics in mathematics (calculus, probability, statistics, linear algebra and optimization) and computer science (algorithms, data structures, parallel/distributed computing).
Experience in one or more general purpose programming languages such as Python, Java, or C++.
Experience in machine learning libraries such as PyTorch, Tensorflow, SciKit, NumPy, etc.
At least one first-author publication in one of the following conferences and journals: NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR.
Experience and demonstrated output on Foundation Models research (e.g., LLMs or VLMs).
Experience with parameter-efficient fine-tuning methods such as LoRA, model merging, prompting methods, etc.
Additional:
Experience in software engineering and development.
Relevant work experience as an intern or a researcher in a research lab in academia or industry.
Ability to design and execute a research agenda.
The internship duration is negotiable according to the applicant’s current circumstances, but will typically be 5 to 9 months and will start as soon as possible.
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.
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Communications House, Staines-Upon-Thames, United Kingdom