[Corpora-List] Multiple NLP Postdoc Positions available at the CSIRO

Wan, Stephen (Data61, Marsfield) Stephen.Wan at data61.csiro.au
Thu Mar 10 01:42:17 CET 2022

Multiple CSIRO Early Research Career Postdoctoral Fellowships are available in Natural Language Processing. CSIRO Data61 is looking for multiple CERC Fellows to join an NLP team of researchers and engineers. Relevant NLP research areas: information extraction, text summarization, question answering, semantic parsing, semantic role labelling, paraphrase detection and generation, and NLP for Information Retrieval.

About the CSIRO Postdoctoral Fellowship program: CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system. Location: Sydney, NSW Salary: AU$89k - AU$98k plus up to 15.4% superannuation Tenure: Specified term of 3 years Reference: 75121

Applications close: 27 March 2022, 11:00pm AEDT To be considered you will need:

* A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Computer Science (Natural Language Processing/Computational Linguistics or Machine Learning with text data). Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of postdoctoral research experience.

* Experience using deep learning and other machine learning techniques in NLP.

* High-level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences.

* A sound history of publication in peer-reviewed journals and/or conferences.

For more information or to apply please visit: https://jobs.csiro.au/job/Sydney%2C-NSW-CSIRO-Postdoctoral-Fellowship-in-Natural-Language-Processing-and-Knowledge-Extraction/850810600

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