Research Fellow in data-driven process optimization
University College London
About usUCL Department of Chemical Engineering is one of the top research and teaching departments in the UK and has world-class standing. The department offers undergraduate and postgraduate programmes, and has an extensive research portfolio across a wealth of areas, from molecular scale to complex systems.About the roleThe project is funded by the Engineering and Physical Sciences Research Council (EPSRC) as an “international centre-to-centre research collaboration” between the Sargent Centre for Process Systems Engineering and JARA-CSD at Aachen. The project aims at to improving decision-making in complex processes and systems, through the development and integration of deterministic global optimisation (DGO) and machine learning (ML) technology.The main role of the postholder will be to carry out research in the areas of surrogate modelling, global optimization and robust optimization. The postholder will develop and implement novel data-driven methods for enterprise wide optimization problems uncertainty.Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £37,332- £39,980 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis.This is a fixed-term role for 18 months in the first instanceThis role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit for more information.About youThe ideal candidate will have:– A PhD in Engineering discipline, Operations Research or Computer Science. The applicant must either have already completed a doctorate, or have submitted their thesis prior to taking up the post
– Proven journal publications track record in developing novel techniques in the areas of surrogate process modelling and/or global optimization and/or robust optimization
– Experience with optimization packages (e.g. GAMS, Pyomo) and process simulation via gPROMS
– Experience in programming languages (e.g. Python, Julia), machine learning packages (e.g., Keras/PyTorch) and maintaining online repositories (e.g. GitLab/GitHub)What we offerAs well as the exciting opportunities this role presents we also offer some great benefits some of which are below:
A job description and person specification can be accessed at the bottom of this page.
If you have any queries about the role, please contact .
If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact .The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please visit www.ucl.ac.uk/ways-of-working to find out more.Our commitment to Equality, Diversity and InclusionAs 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 :Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and ‘beacon’ status in advancing gender equality.Available documents
£37332 – 39980 per year
North West London
Sat, 01 Jun 2024 05:16:28 GMT
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