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Position: Research Fellow in machine learning for online production scheduling
Institution: University College London
Department: Chemical Engineering
Location: London, United Kingdom
Duties: The project is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is in collaboration with investigators from University of Manchester (UK). The project aims at developing next-generation machine learning enabled techniques for online production scheduling within the process industries. The main role of the postholder will be to carry out research in the areas of data-driven optimization, reinforcement learning and mixed integer programming for production scheduling problems
Requirements: A PhD in Engineering discipline, Operations Research or Computer Science. The applicant must either have already completed a doctorate, or have submitted their thesis prior to taking up the post. Proven publications track record in developing novel techniques for process scheduling and/or data-driven optimization and/or mathematical programming. Experience in reinforcement learning or data-driven optimization methods. Experience of working in a multi-disciplinary research environment so as to conduct effectively collaborative research. Experience with optimization packages (e.g. GAMS, Pyomo). Experience in programming languages (e.g. Python, Julia), machine learning packages (e.g., Keras/PyTorch/OR-gym) and maintaining online repositories (e.g. GitLab/GitHub) Ability to present complex information effectively to a range of audiences
   
Text: Research Fellow in machine learning for online production scheduling, - Ref:1883503 Click here to go back to search results Apply Now UCL Department / Division Chemical Engineering Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,770 - £40,928 per annum Duties and Responsibilities The project is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is in collaboration with investigators from University of Manchester (UK). The project aims at developing next-generation machine learning enabled techniques for online production scheduling within the process industries. The main role of the postholder will be to carry out research in the areas of data-driven optimization, reinforcement learning and mixed integer programming for production scheduling problems. Other duties are: To develop and implement novel data-driven methods for production scheduling in process industries under uncertainty. Develop and apply reinforcement learning methods among others for online rescheduling problems. Plan and prepare papers from own and related research to appropriate peer reviewed journals, international conferences and research seminars. Collaborate with other PDRAs and PhD student team members for exchange of knowledge, best practice, as well as to carry out coordinated pieces of research. A job description and person specification can be accessed at the bottom of this page. The duration of this post is 24 months in the first instance. Key Requirements A PhD in Engineering discipline, Operations Research or Computer Science. The applicant must either have already completed a doctorate, or have submitted their thesis prior to taking up the post. Proven publications track record in developing novel techniques for process scheduling and/or data-driven optimization and/or mathematical programming. Experience in reinforcement learning or data-driven optimization methods. Experience of working in a multi-disciplinary research environment so as to conduct effectively collaborative research. Experience with optimization packages (e.g. GAMS, Pyomo). Experience in programming languages (e.g. Python, Julia), machine learning packages (e.g., Keras/PyTorch/OR-gym) and maintaining online repositories (e.g. GitLab/GitHub) Ability to present complex information effectively to a range of audiences. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. If you have any queries regarding the vacancy or the application process, please contact Dr. Vasileios Charitopoulos at v.charitopoulos@ucl.ac.uk. UCL Taking Action for Equality Closing Date 5 May 2022 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job description and Person specification Apply Now
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