NOW OPEN: Fully-funded PhD studentship in Travel Demand Modelling, Mobility as a Service & Big Data
UCL-Energy invites applicants for a fully-funded three-year PhD Studentship in Travel Demand Modelling, Mobility as a Service & Big Data.
Supervisors: Dr Maria Kamargianni, Lecturer in Energy & Transport, UCL EI; and Prof. Andreas Schäfer, Professor in Energy & Transport, UCL EI
- Title: PhD Studentship in Travel Demand Modelling, Mobility as Service & Big Data
- Stipend: approx. £16,500 & UK/EU fees & Annual research budget of £1000 and you will also be able to apply for additional funding to UCL schemes to cover extra costs of training and travel.
- Start date: September/October 2017
- Funding duration: Three years
The Urban Transport & Energy Group at UCL Energy Institute invites applications for a fully funded three-year PhD studentship. It will covering UK/EU fees plus stipend to focus on the development of the demand components of an advanced transport and energy activity based model able to simulate the multidimensional impacts of new mobility services on travel behaviour, traffic congestion, and energy consumption.
There are residence requirements for research council funding for postgraduate research. These are based on the Education (Fees and Awards) (England) Regulations 2007 and subsequent amendments. Normally, to be eligible for a full award a student must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship (with some further constraint regarding residence for education).
The project is well-suited to a highly-quantitative individual with strong mathematical, data handling and computing skills. Students should have a bachelor's degree in a relevant subject or a closely-related discipline, awarded with first-class or upper second-class (2:1) honours, or an overseas qualification of an equivalent standard from a recognised higher education institute. For those applicants with a first or 2:1, possession of a master's degree in engineering, computer science, economics, geography or related disciplines is highly desirable.
- Excellent analytical and computing skills. Passionate about data analysis, modelling, programming and conducting research.
- A MSc degree in transport engineering, big data analysis, machine learning, software development, geography, economics or other relevant transport or computer science disciplines.
- Candidates without a master's degree may be admitted in exceptional cases where suitable research or professional experience can be demonstrated.
- Knowledge of relevant programming languages or statistical software (such as Python, C++, R, MATLab)
- Ability use own initiative, prioritise workload, and be a fair team player
- Good interpersonal and communication skills (oral and written)
- A high level of attention to detail in working methods
- Interest in the challenges of the Transport sector of the 21st century
Stage 1 - Pre-application documents - (1) CV, (2) academic transcripts, and (3) one-page personal statement outlining motivation, interest and eligibility for the post - should be emailed directly to Mae Oroszlany: firstname.lastname@example.org.
Stage 2 - Following the interview, the successful candidate will be invited to make a formal application to the UCL Research Degree programme. Further guidance will be provided.
You will also have to meet the UCL's English Language requirements.
Informal enquiries on the content of the research topic should be emailed to Dr Maria Kamargianni, email@example.com
- Deadline for application: 05 May 2017
- Interviews week starting 15 May 2017
For more information please click "Further Official Information" below.
This opportunity has expired. It was originally published here: