Post-Doctoral Research Associate

ELLIS; City of Edinburgh; On-site; GBP 10,000 - 40,000

Job description

The School of Informatics, University of Edinburgh invites applications for a Post-Doctoral Research Associate in Natural Language Processing and Machine Learning to work with Dr Pasquale Minervini in the Edinburgh NLP Group. The project is funded by Huawei via the Huawei-Edinburgh Joint Lab initiative.

The researcher will work on projects involving the design and application of improving the robustness and trustworthiness of Large Language Models when solving complex reasoning tasks, while improving their explainability and generalisation properties. They will be part of the Edinburgh NLP Group, a world-leading research group in Natural Language Processing.

The School of Informatics is one of the largest research centres in Computer Science in Europe and is ranked #1 in the UK in terms of research power by a large margin. The Edinburgh NLP Group is consistently ranked among the world’s leading research groups in Natural Language Processing. We offer an exciting opportunity to work in an interdisciplinary, collaborative, friendly, and supportive environment that integrates various fields of Computer Science and Artificial Intelligence.

Your skills and attributes for success:

1. PhD (or near completion) in Natural Language Processing, Machine Learning, or a related discipline.
2. Experience and evidence of effective independent research work within an interdisciplinary team. More broadly, demonstrated ability to plan and execute a research project, solve problems independently, and make original contributions to a research field.
3. Demonstrated quality of research performance, as evidenced by high-quality publications in top-tier ML and NLP venues (e.g., ACL, EMNLP, NAACL, ICML, NeurIPS, ICLR, AAAI, IJCAI, WWW, KDD, ICDM, and relevant journals).
4. Strong programming skills; experience with Python NLP and deep learning libraries (e.g., HF Transformers, PyTorch, Jax, or TensorFlow).
5. Ability to communicate complex information clearly, orally and in writing, in English.