NaCTeM

Vacancy for Research Fellow in Natural Language Processing (AI Research Center, Japan)

2022-05-03

This is an exciting opportunity to work with an international team hosted by the Artificial Intelligence Research Center in Tokyo to develop novel neuro-symbolic information extraction techniques for a project funded by the Japan Medical Research Council on NLP for cancer immune-oncology, under the overall supervision of Prof. Junichi Tsujii. NLP methods will include relation and event extraction, distant supervision and temporal relation extraction. You will be working with teams of NLP researchers at AIRC/AIST in Japan and at the UK National Centre for Text Mining. The fellowship is available for two years, with the possibility of extension. We are looking for candidates with expertise in deep learning for information extraction, with a proven publication track record in ACL, EMNLP, Coling, etc.

Essential knowledge, skills and experience:

1. A good first degree in Computer Science or related discipline and a PhD in Computer Science with an emphasis on Natural Language Processing and Deep Learning.
2. Experience in developing algorithms for NLP systems using deep learning, language models and transformers.
3. Experience in neural information extraction and event extraction using semi-supervised, distantly-supervised and few-shot approaches.
4. Proven track record of publications in conferences such as ACL, EMNLP, Coling and AAAI.
5. Excellent programming skills, and familiarity with Linux development environments and deep learning libraries (preferably PyTorch)
6. Fluent in English with excellent academic writing skills.

Duration: full time position, 24 months, with possibility of extension.
Salary: in the range of 6,5M yen to 8M yen per year, depending on experience and qualifications.
Location of appointment: AIRC/AIST Tokyo, Waterfront, Japan.

To apply, please email your CV and the names of 3 referees to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Makoto Miwa (makoto-miwa@toyota-ti.ac.jp). Enquiries may also be directed to these addresses.

Deadline for applications: 31/05/2022.

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