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Research Fellow in Machine Learning and Natural Language Processing

Job Description

The UCL Energy Institute delivers world-leading learning, research and policy support on the challenges of climate change and energy security. Most problems are multidisciplinary in nature, spanning science, engineering and the social sciences.

This is an opportunity to join UCL-Energy’s research staff as a core member of the UCL Islands Laboratory. The Interdisciplinary laboratory invites applications in the general area of computer science. Islands Laboratory is carrying out interdisciplinary research in governance of disasters risk reduction and resilience, resource nexus and allocation, climate change, often in collaboration with industry, governmental and international partners. Islands Laboratory is active in several international research projects funded by the UKRI under the Belmont forum programme and BEIS under the UK-Canada fund scheme. The successful candidate will join the research group led by Prof Catalina Spataru and will contribute to projects with software development, visualisation and data processing, often in collaboration with industrial and academic partners.

The role involves working part of the Islands Research Lab at UCL and be responsible for software development, visualisation and apps of existing models, contribute to the development of new adaptable tools/models in the area of disaster risk reduction and resilience (e.g droughts, floods, heatwaves) and resource management, contributing to other multidisciplinary research when necessary (e.g energy markets, resource nexus), work in close collaboration with partners of a diverse, multi-disciplinary research consortium and industrial partners from four continents and nine countries.

The post holder will contribute to the expansion of the Lab research portfolio and to scientific paper publications, contributing to grant applications; workshops and demonstrations; knowledge transfer.

The post has funding for 18 months in the first instance, further funding to support the post may be available.

Our ideal candidate will have a have a PhD degree, or be close to completion, or have commensurate experience in Computer Science or a related field; with a strong background in one or more of the following: machine learning (ML), Natural Language Processing (NLP), artificial intelligence (AI); competitive research record in NLP and/or Machine Learning and/or Software Engineering; practical experience with apps development; excellent programming skills (e.g. Phython, Java); experience in software development, use of visualisation tools, knowledge of neural network libraries; familiarity with semantic technologies (e.g graph models). 

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.

If you have any queries regarding the vacancy or the application process, please contact: bseer-recruitment@ucl.ac.uk 

If you have specific questions about the role please contact (Dr Catalina Spataru), (c.spataru@ucl.ac.uk).

Latest time for the submission of applications: 23.59.

Interview Date: 11 August 2020

UCL Taking Action for Equality

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.

Salary: £35,965 to £43,470 Per annum
Employment Type: Full Time
Contact Information
Name: Dr Catalina Spataru