Two post-doctoral research associate positions are available at the Department of Chemical Engineering and Biotechnology, at the University of Cambridge supervised by Prof. Markus Kraft. This ChemInformatics project aims to develop new methods and algorithms to support the development of chemical kinetic reaction mechanisms. Aspects of particular interest include automatic generation, coupling to first-principles quantum chemistry calculations, and ontological data representation.
The successful candidates will be expected to closely collaborate with the Cambridge CARES research centre sponsored by the NRF CREATE program, "CAM.CREATE" in Singapore. The methods resulting from this project will need to be seamlessly integrated into an existing comprehensive virtual simulation platform, which is currently being developed as part of CARES, using ideas from Industry 4.0, Internet of Things, the Semantic Web, machine learning, and statistics.
Applicants must have:
1.) A PhD degree in a relevant discipline such as mathematics, computer science, (theoretical) physics/chemistry, or a related subject (essential).
2.) Excellent mathematical and statistical skills.
3.) Demonstrable experience in software engineering, developing high quality applications using Java/Java Script, Python, and/or C++ (3-5 years).
4.) Experience in algorithm and methods development
5.) Understanding of thermodynamics and reaction kinetics, electronic structure theory, relational and non-relational database management systems, graph theory, and ontologies (desirable)
6.) An outstanding publication record in at least one of the research areas concerned (essential).
7.) Excellent oral and written communication skills.
8.) The ability to work as part of a dynamic, multidisciplinary team of researchers.
Further information about the Computational Modelling Group can be found at https://como.cheng.cam.ac.uk.
Fixed-term: The funds for this post are available for 12 months in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Applicants should ensure their application is complete and submitted by Midnight on the closing date.
Please quote reference NQ12666 on your application and in any correspondence about this vacancy.
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