A Research Assistant / Research Associate position is available in the Department of Computing at Imperial College London beginning July 2023 or later . The complete job posting can be found here.
The post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) will conduct research at the intersection of computational optimisation, machine learning, and experimental design of new chemistry. We will develop Bayesian optimisation and other active learning approaches for experimental design. While most of the work will be computational or mathematical, the successful candidate will also have the opportunity to visit BASF in Ludwigshafen, Germany for three months to try out the new algorithms in the lab.
The successful candidate will collaborate with Professor Ruth Misener and Dr Calvin Tsay in the Imperial College London Department of Computing and will be a member of the broader EPSRC-funded project IConIC (Innovative Continuous Manufacturing of Industrial Chemicals).
In addition to publishing research in top optimisation and machine learning venues, the Research Assistant/Associate will be expected to contribute towards developing and maintaining open source software related to this project (https://github.com/cog-imperial).
For further information on the Prof Misener’s and Dr Tsay’s research and related projects in the Computational Optimisation Group (http://optimisation.doc.ic.ac.uk), see http://wp.doc.ic.ac.uk/rmisener/ and https://www.doc.ic.ac.uk/~ctsay/
To apply for this position, you must have a proven strong publication track-record in machine learning, computational optimisation, process systems engineering, or a closely related discipline. Algorithms development experience is also essential.
You should also have:
- Research Associate level:
- A PhD (or equivalent) in an area pertinent to the subject area, e.g., Computer Science, Applied Mathematics, or Engineering Physics. Alternatively, equivalent research or industrial experience.
- Proven publication track-record, in one or more of the following areas: computational optimisation, open-source software, machine learning
- Research Assistant level:
- Be close to completion of a PhD (or equivalent) in an area pertinent to the subject area, i.e., Computer Science, Applied Mathematics, or Engineering Physics. Alternatively, equivalent research or industrial experience.
- Completion of courses or project work in one or more of the following areas: computational optimisation, open-source software, machine learning.
How to apply – In addition to completing the online application, candidates should attach:
- A full CV, with a list of all publications
- A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant
Informal enquiries related to the position should be directed to Professor Ruth Misener email@example.com
For queries regarding the application process contact Jamie Perrins: firstname.lastname@example.org