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Position: Senior Research Fellow: Software Engineer for Transport Planning
Institution: University College London
Department: BARTLETT SCHOOL of ENVIRONMENT, ENERGY & RESOURCES - Energy Institute
Location: London, United Kingdom
Duties: The UCL Energy Institute’s MaaSLab sits within a wider transport and energy group encompassing work on aviation and surface transport. Started in 2016, MaaSLab focuses on urban transport and explores new mobility concepts, such as Mobility as a Service, and new technologies such as automated vehicles, and drones. Its expertise lies on transport and behavioural models, survey design and innovative data collection techniques, big data handling and visualization, new mobility service design and business models. MaaSLab hosts a number of funded PhD studentships working closely alongside the research grant and enterprise activities. MaaSLab has several research projects on the aforementioned topics, while also working closely with industry and public authorities to make sure that the innovative solutions and methods are utilized in real-life and have an impact on society
Requirements: Essential Criteria: Postgraduate degree (MSc or equivalent) in computer science, software engineering, data science, applied mathematics, transport engineering, physics, or related fields - PhD, near to completion, or commensurate research or industry experience in computer science, software engineering, data science, mathematics, or related fields Desirable Criteria: Knowledge of transport modelling theory (e.g. transport simulation models, dynamic travel behaviour modelling for new on-demand mobility services, traffic simulation, etc.)
   
Text: Senior Research Fellow: Software Engineer for Transport Planning, - Ref:1856000 Click here to go back to search results Apply Now UCL Department / Division BARTLETT SCHOOL OF ENVIRONMENT, ENERGY & RESOURCES Specific unit / Sub department Energy Institute Location of position London Grade 8 Hours Full Time Salary (inclusive of London allowance) £44,674 - £47,651 per annum Duties and Responsibilities The UCL Energy Institutes MaaSLab (www.maaslab.org) sits within a wider transport and energy group encompassing work on aviation and surface transport. Started in 2016, MaaSLab focuses on urban transport and explores new mobility concepts, such as Mobility as a Service, and new technologies such as automated vehicles, and drones. Its expertise lies on transport and behavioural models, survey design and innovative data collection techniques, big data handling and visualization, new mobility service design and business models. MaaSLab hosts a number of funded PhD studentships working closely alongside the research grant and enterprise activities. MaaSLab has several research projects on the aforementioned topics, while also working closely with industry and public authorities to make sure that the innovative solutions and methods are utilized in real-life and have an impact on society. Starting: 17th February 2020 (flexible), 24 months in the first instance, further funding to support the post is available The (Senior) Research Fellow - Software Engineer for Transport Simulation will be a staff member of MaaSLab and will be expected to: - Contribute to the management of the HARMONY project; analyze, develop and validate computational and mathematical models and algorithms for transportation modelling - Develop and implement agent-based simulation models using C++ or Python - Conceptualize the software architecture of the HARMONY model suite in collaboration with the other consortium partners - Run performance and quality tests; - Maintain the documentation of the developed algorithms - Maintain documentation related to the development and release management process and related configurations - Supervise and contribute to the continuous integration of HARMONY model suites modules and interfacing with third party software analyse user requirements - Contribute to the research projects of MaaSLab that require the expertise of a software engineer; - Contribute to raising research funding from national/international research councils - Author/co-author scientific papers to be submitted to international peer reviewed journals - Contribute to the PhD and MSc students supervision embedding MaaSLabs research within student learning - Contribute to the expansion of MaaSLabs strategic partnerships with private and public sector - Undertake enabling activities for MaaSLab, under the direction of the line manager Key Requirements Essential Criteria: - Postgraduate degree (MSc or equivalent) in computer science, software engineering, data science, applied mathematics, transport engineering, physics, or related fields - PhD, near to completion, or commensurate research or industry experience in computer science, software engineering, data science, mathematics, or related fields Desirable Criteria: - Knowledge of transport modelling theory (e.g. transport simulation models, dynamic travel behaviour modelling for new on-demand mobility services, traffic simulation, etc.) Further Details A job description and person specification can be accessed at the bottom of this page. To apply for this vacancy click on the Apply Now button below. If you have any queries regarding the vacancy or the application process, please contact: bseer-recruitment@ucl.ac.uk If you have specific questions about the role please contact (Maria Kamargianni), (m.kamargianni@ucl.ac.uk) UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 7 Feb 2020 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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