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Position: PhD studentship in Computational Chemical Engineering
Institution: University of Cambridge
Department: Department of Chemical Engineering and Biotechnology
Location: Cambridge, Cambridgeshire, United Kingdom
Duties: We are looking for an outstanding student who is interested in working with us to further develop our software tools thats perform a variety of tasks such as optimisation, data-driven modelling, uncertainty analysis, parameter estimation, surrogate generation, and experimental design for computationally expensive models. The student will be expected to design and implement advanced algorithms, based on statistical and/or machine learning/artificial intelligence techniques, and apply them to a range of practical problems
Requirements: At least 4 years of study at University level and a high 2: 1 or equivalent degree in a relevant discipline such as mathematics, (theoretical) physics, scientific computing, or engineering, with a keen interest in computational modelling. Strong numerical, programming skills and problem solving skills
   
Text: PhD studentship in Computational Chemical Engineering A fully-funded 3.5 year PhD studentship is available in the Computational Modelling Group, Department of Chemical Engineering and Biotechnology, at the University of Cambridge under the supervision of Prof. Markus Kraft. The studentship starts in October 2018 and, due to funding regulations, is only able to cover fees at the home/EU rate. We are looking for an outstanding student who is interested in working with us to further develop our software tools thats perform a variety of tasks such as optimisation, data-driven modelling, uncertainty analysis, parameter estimation, surrogate generation, and experimental design for computationally expensive models. The student will be expected to design and implement advanced algorithms, based on statistical and/or machine learning/artificial intelligence techniques, and apply them to a range of practical problems. This studentship is a joint project between CMCL Innovations, a digital engineering company based in Cambridge ( https://cmclinnovations.com ) and Cambridge CARES in Singapore ( http://www.cares.cam.ac.uk ). The project will be mainly based in Cambridge (UK), but the successful applicant will also be expected to spend some time working at CARES in Singapore. Applicants must have: 1) At least 4 years of study at University level and a high 2:1 or equivalent degree in a relevant discipline such as mathematics, (theoretical) physics, scientific computing, or engineering, with a keen interest in computational modelling. 2) Strong numerical, programming skills and problem solving skills. 3) Be able to meet the graduate admissions entrance requirements of the University of Cambridge. The successful candidate will be expected to formally apply for admission: https://www.graduate.study.cam.ac.uk/how-do-i-apply To apply for this position, please email the following to Mrs Amanda Taylor, Graduate Administrator, at at481@cam.ac.uk by noon on Thursday 31 May 2018, as late applications will not be considered: -- A copy of your CV. -- Copies of transcripts that include marks received from all previous degrees. If your degree was taken outside of the UK, please visit: https://www.graduate.study.cam.ac.uk/international-qualifications to determine if your qualification is equivalent to a high UK 2.i. -- Please include the vacancy reference number NQ15493 in the subject line of your email. Further information about the Computational Modelling Group can be found at https://como.cheng.cam.ac.uk . Please quote reference NQ15493 on your application and in any correspondence about this vacancy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Department/Location Department of Chemical Engineering and Biotechnology Reference NQ15493 Category Studentships Published 4 May 2018 Closing date 31 May 2018
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