RF in Machine Learning for Time Series Forecasting

About us

The Information and Decision Systems Group with the Computer Science Department at University College London conducts world-leading interdisciplinary research in digital health, particularly estimating and modeling the health of populations and individuals based on their digital trails.
UCL’s Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England.
The UCL Centre for Artificial Intelligence Centre carries out foundational and applied research in AI. It has close research and training links to other local AI communities, including the Gatsby Computational Neuroscience Unit and the Alan Turing Institute.
UCL is one of the world's top universities. Based in the heart of London, it is a modern, outward-looking institution. At its establishment in 1826, UCL was radical and responsiv e to the needs of society, and this ethos – that excellence should go hand-in-hand with enriching society – continues today.

About the role

The main role is to lead research in machine learning methods for time series forecasting tasks. The ideal candidate will have a strong theoretical knowledge of machine learning; experience in time series modelling would be beneficial but not essential. Of particular interest are (i) the design and evaluation of physics-based neural networks based on ordinary differential equations that model the spread of disease, (ii) design and evaluation of methods for estimating the uncertainty of predictions while deploying neural network architectures, and their application to (iii) time-series forecasting, where we are interested both in the theoretical foundations and practical utility, and (iv) machine learning with relatively small datasets.

About you

The ideal candidate will have a Ph.D. in Computer Science or related field (completed or near completion), an outstanding track record of independent high impact research, as evidenced by publications in top-tier computer science conferences and interdisciplinary (or computer science) journals, expertise in machine learning including artificial neural network models, excellent programming skills and academic research writing skills, and an ability to conduct and lead research independently with minor supervision.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

• 41 Days of holiday (including 27 days annual leave 8 bank holidays and 6 closure days)
• Hybrid Final Salary Pension Scheme
• Cycle to work scheme and season ticket loan
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

If you have any queries regarding the vacancy or the application process, please contact [Prof. Ingemar J. Cox

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/. 

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