Research Associate in smart chemometrics to support model maintenance
The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating from the Higher Education Funding Council. In the 2014 REF assessment, the Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality. We are seeking to hire a...
Job listing information
- Reference ENG01163
- Date posted 20 January 2020
- Closing date 18 February 2020
The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating from the Higher Education Funding Council. In the 2014 REF assessment, the Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality.
We are seeking to hire a motivated Research Associate to work on a joint project sponsored by both the Engineering and Physical Sciences Research Council (EPSRC) and the company Eli Lilly. The project is titled ‘Smart chemometrics to support model maintenance’ and is concerned with developing underpinning technologies for synthetic drug manufacturing. This project develops and deploys three main technologies:
- Global optimisation for parameter estimation,
- Regression tree modelling for contingency strategies,
- Explainable artificial intelligence for deciding what to do with a model and its associated data.
The algorithm(s) will be tested and improved before implementation in a user-friendly software package. The contributions unrelated to Eli Lilly data may be released open source, subject to review by Eli Lilly. This project, a collaboration between Imperial College and Eli Lilly, is at the intersection between optimisation, machine learning, and explainable AI. The post holder will make contributions to both foundational technologies and applications to pharmaceuticals.
Duties and responsibilities
The post holder will work with Imperial’s Computational Optimisation Group (London, UK). The post holder will also spend significant time collaborating with Eli Lilly (Indiana, USA).
The project allows for some flexibility in the profile of applicants. Candidates with expertise in the following areas may be a good fit:
- Chemometrics in the pharmaceutical industry,
- Global optimisation and/or optimisation under uncertainty,
- Machine learning and its applications,
- Explainable AI.
All applicants should be able to demonstrate the following:
- A strong computing background with solid programming skills,
- Optimisation expertise and/or machine learning and AI expertise,
- An ability to work with third-party software and to liaise constructively with the developers of such software,
- The ability to work independently and to drive both the research and software development agenda.
- A strong background in related publications.
The successful applicant will have an PhD (or equivalent) in an area pertinent to the subject area.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £35,477 - £38,566 per annum.
In addition to completing the online application, candidates should attach:
- A full CV
- A short statement indicating what you see are interesting issues relating to the above post and why your expertise is relevant
For informal inquiries about this position please contact Dr Ruth Misener: email@example.com
For queries regarding the application process contact Jamie Perrins: firstname.lastname@example.org
For technical issues when applying online please email email@example.com
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About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
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It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
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- Champion a positive approach to change and opportunity
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In addition to the above, employees are required to observe and comply with all College policies and regulations.
Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
Athena SWAN Silver Award 2016
We renewed our Silver in the April 2016 submission round. Recognising advancement of gender equality.
Disability Confident leader
Imperial is a Disability Confident leader
Imperial is working in partnership with GIRES to promote respect and provide equal treatment for trans people