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Position: Lecturer in Transport Modelling and Machine Learning
Institution: University College London
Department: The Bartlett School of Environment, Energy and Resources
Location: London, United Kingdom
Duties: The Lecturer will be a core member of MaaSLab, a team situated within the Energy and Transport Group of the UCL Energy Institute. The successful candidate will contribute to: the current research in transport models using machine learning techniques and expand it, the supervision of PhD students and teaching for the new MSc Program in Energy Systems and Data Analytics, expansion of MaaSLab’s research portfolio by leading national and international grant applications, MaaSLab’s publication record, managing and working for the research projects and daily operations of MaaSLab, and the enterprise activity of MaaSLab
Requirements: The successful candidate shall hold a PhD or be near to completion, or have commensurate research experience in computer science, transport, software engineering, data science, mathematics, geoinformatics or related fields. She/He shall have skills in developing transport models using machine learning (e.g. transport simulation models, dynamic travel behaviour modelling for new on-demand mobility services, traffic simulation, econometric modelling, machine learning applications for transport demand prediction etc.). The candidate shall also have excellent knowledge of a programming language (i.e. Python, C++, MATLAB, R etc.) and evidence of accessing and handling different types of quantitative data (e.g. geolocation, timeseries, mobile phone data, travel patterns etc.)
   
Text: Lecturer in Transport Modelling and Machine Learning, - Ref:1796433 Click here to go back to search results Apply Now UCL Department / Division The Bartlett School of Environment, Energy and Resources Location of position London Grade 8 Hours Full Time Salary (inclusive of London allowance) ?43,884 - ?51,769 per annum Duties and Responsibilities The UCL Energy Institute?s MaaSLab ( www.maaslab.org ) focuses on urban transport and explores new mobility concepts, such as Mobility as a Service and mobility on demand, 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. We invite applications for a Lecturer in Transport Modelling and Machine Learning. The Lecturer will be a core member of MaaSLab, a team situated within the Energy and Transport Group of the UCL Energy Institute. The successful candidate will contribute to: i. the current research in transport models using machine learning techniques and expand it, ii. the supervision of PhD students and teaching for the new MSc Program in Energy Systems and Data Analytics, iii. expansion of MaaSLab?s research portfolio by leading national and international grant applications, iv. MaaSLab?s publication record, v. managing and working for the research projects and daily operations of MaaSLab, and vi. the enterprise activity of MaaSLab. This is a open ended position without a funding end date. Key Requirements The successful candidate shall hold a PhD or be near to completion, or have commensurate research experience in computer science, transport, software engineering, data science, mathematics, geoinformatics or related fields. She/He shall have skills in developing transport models using machine learning (e.g. transport simulation models, dynamic travel behaviour modelling for new on-demand mobility services, traffic simulation, econometric modelling, machine learning applications for transport demand prediction etc.). The candidate shall also have excellent knowledge of a programming language (i.e. Python, C++, MATLAB, R etc.) and evidence of accessing and handling different types of quantitative data (e.g. geolocation, timeseries, mobile phone data, travel patterns etc.). Further Details A job description and person specification can be accessed at the bottom of this page. To apply please 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 UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 9 Jun 2019 This appointment is subject to UCL Terms and Conditions of Service for Academic Staff. Please use these links to find out more about the UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Lecturer in Transport Modelling and Machine Learning Apply Now
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