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Position: PhD Studentship - Optimisation Under Uncertainty Using Machine Learning & Data-Driven Methods
Institution: University College London
Department: Department of Chemical Engineering
Location: London, United Kingdom
Duties: Within the Product & Process Systems Engineering group, the Chemical Engineering Department is seeking an enthusiastic and dedicated post-graduate student to research how to incorporate uncertainty consideration related to the optimisation of process & energy systems engineering via novel data-driven and machine learning methods. Expertise in mathematical modelling & optimisation is essential, as well as a good understanding of machine learning techniques is desirable
Requirements: The successful applicant will have a 1st class MSc/MEng (or equivalent) in an area pertinent to the subject area, e.g. Chemical Engineering, Operations Research, Computer Science, Mathematics
   
Text: PhD Studentship - Optimisation Under Uncertainty Using Machine Learning & Data-Driven Methods, - Ref:1857688 Click here to go back to search results UCL Department / Division Department of Chemical Engineering Location of position London Duration of Studentship 4 years Stipend £17,264 per annum UK/EU fees Vacancy Information The UCL department of Chemical Engineering is one of the top research and teaching departments in the UK and has world-class standing. Within the Dept. of Chemical Engineering 90% of staff rated as world leading or of internationally excellent quality. The department has an extensive research portfolio across a wealth of areas, from molecular scale to complex systems. Within the Product & Process Systems Engineering group, the Chemical Engineering Department is seeking an enthusiastic and dedicated post-graduate student to research how to incorporate uncertainty consideration related to the optimisation of process & energy systems engineering via novel data-driven and machine learning methods. Expertise in mathematical modelling & optimisation is essential, as well as a good understanding of machine learning techniques is desirable. The post is fully funded (stipend and fees) for 4 years. Please contact Dr Vasileios Charitopoulos (v.charitopoulos@ucl.ac.uk) for further details or to express an interest. Apply here: https: //www.ucl.ac.uk/adminsys/search/ Studentship Description We are seeking a motivated PhD candidate to work on the project Optimisation under uncertainty using machine learning and data-driven methods which is concerned with developing state-of-the-art computational methods for incorporating uncertainty considerations in industrially-relevant complex optimisation problems and tools for their efficient solution. Candidates with experience/expertise in the following areas are encouraged to apply for the studentship: - Mathematical modelling & optimisation - Optimisation under uncertainty - Machine learning & data-driven modelling The candidate will explore: - Novel methods for modelling uncertainty considerations & propagation in multi-period optimisation problems; - Machine learning oriented dimensionality reduction techniques; - Mathematical programming solution methods for stochastic programming problems; - Implementation of the aforementioned into state-of-the-art process & energy systems engineering problems. Person Specification The successful applicant will have a 1st class MSc/MEng (or equivalent) in an area pertinent to the subject area, e.g. Chemical Engineering, Operations Research, Computer Science, Mathematics. All applicants should be able to demonstrate the following: - A strong computing background with solid mathematical skills, - Optimisation and/or machine learning experience, - Advanced understanding of process and/or energy systems simulation/optimisation problems - The ability to work independently and to drive both the research and software development agenda. Eligibility First-class degree at the MEng/MSc or EU equivalent level is required. Funds are only available to cover EU/UK fees. Contact name Dr Vasileios Charitopoulos Contact details v.charitopoulos@ucl.ac.uk UCL Taking Action for Equality Closing Date 31 Mar 2020 Latest time for the submission of applications 23:59 Interview date TBC Studentship Start Date 01/10/2020 This role does not meet the eligibility requirements for a tier 2 certificate of sponsorship under UK Visas and Immigration legislation. Therefore UCL will not be able to sponsor individuals who require right to work in the UK to carry out this role. untitled
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