ENFOLD-ing: Explaining, Modelling and Forecasting Global Dynamics
ENFOLD-ing is a major new multi-discliplinary EPSRC research grant which has been awarded to UCL under the direction of Sir Alan Wilson. Seven UCL departments are involved in the project. Here is a summary of the 5 Research Associate vacancies and 3 PhD studentships:
Research Associate (Complexity Tools workstream) Ref: 1133129
Funded for three years in the first instance at Grade 7 spine point 29 (£31,778 including London Weighting)
This post is working with Steven Bishop and Frank Smith from UCL Mathematics. The main purpose is to initiate, develop, design and be responsible for the delivery of a programme of high quality research into the applied mathematics relevant to migration, trade, security and related issues of most interest to the overall aims of the ENFOLD-ing project. Essential skills include substantial knowledge & programming experience in any of the programming languages C#, C++, Java (or evidence of ability to learn new programming languages), a postgraduate qualification in mathematics or a mathematical science related area,and expertise in mathematical modelling and /or complex systems and ability to develop models related to migration, trade, security. For full details and to apply for this job, please review the advert on the UCL HR website.
Research Associate (Trade workstream) Ref: 1132947
Funded for three years in the first instance at Grade 7 spine point 29 (£31,778 including London Weighting)
This post is working with Francesca Medda from the UCL Centre for Transport Studies and Sir Alan Wilson from the Centre for Advanced Spatial Analysis. The main purpose is to develop models of international trade on a global scale and to contribute to the delivery of a global intelligence system to support the overall aims of the ENFOLD-ing project. Essential skills include expertise in mathematical modelling and /or complex systems, expertise in international trade and/or economics and substantial knowledge & programming experience in any of the programming languages C#, C++, Java, or evidence of ability to learn new programming languages. For full details and to apply for this job, please review the advert on the UCL HR website.
Research Associate (Migration workstream) Ref: 1132973
Funded for two years in the first instance at Grade 7 spine point 29 (£31,778 including London Weighting)
This post is primarily working with Pablo Mateos from UCL Geography and Michael Batty from the Centre for Advanced Spatial Analysis. The main purpose is to initiate, develop, design and be responsible for the delivery of a programme of high quality quantitative research into the relevant statistical, geographical and theoretical aspects related to migration analysis. Essential skills include substantial knowledge & programming experience in any of the following programming languages: C#, C++, Java, Python, knowledge and experience of designing, constructing and analysing large databases and a postgraduate qualification in either a quantitative speciality within a social science discipline (such as statistics, geography, economics, sociology, epidemiology/ public health, GIS, spatial analysis) or a science discipline with experience in social science applications (such as computer science, maths, physics, medicine, and any other relevant disciplines).
For full details and to apply for this job, please review the advert on the UCL HR website.
Research Associate (Security workstream) Ref: 1133143
Funded for five years in the first instance at Grade 7 spine point 29 (£31,778 including London Weighting)
This post is primarily working with Shane Johnson from UCL Jill Dando Institute of Security and Crime Science. The main purpose of the job, under the guidance of the investigators, is to initiate, develop, design and be responsible for the delivery of a programme of high quality research into security and related issues of most interest to the overall aims of the ENFOLD-ing project. Essential skills include expertise in statistical modelling and /or complex systems and ability to develop models related to security and crime, substantial knowledge & programming experience in any of the programming languages C#, C++, Java, Stata, R or evidence of ability to learn new programming languages and knowledge and experience of constructing and manipulating, or of making valuable use of, large databases. For full details and to apply for this job, please review the advert on the UCL HR website.
Research Associate (Synthesis workstream) Ref: 1132977
Funded for three years in the first instance at Grade 7 spine point 29 (£31,778 including London Weighting)
This post is primarily working with Sir Alan Wilson and Francesca Medda from the UCL Centre for Transport Studies. The main purpose is to initiate, develop, design and be responsible for the delivery of a global intelligence system, and some associated modelling, of most interest to the overall aims of the ENFOLD-ing project; this includes working in and contributing to the ENFOLD-ing team effort. Essential skills include expertise in mathematical modelling and/or complex systems, a postgraduate qualification in an area related to the ENFOLD project, skills in computer visualisation and substantial knowledge & programming experience in any of the programming languages C#, C++, Java, or evidence of ability to learn new programming languages. For full details and to apply for this job, please review the advert on the UCL HR website.
PhD STUDENTSHIPS
3 x PhD studentships are also available linked to the ENFOLD-ing project.
The studentship lasting for three years will cover tuition fees at home rate plus standard living expenses of £15,290 per annum. The studentships are linked to the following workstreams:
Trade workstream: Ref: 1133138
The applicants should possess a good honours degree (1st Class or 2:1 minimum) in any of the following disciplines: Economics, Statistics, Physics, Mathematics, Finance, or any related field. Knowledge in econometric and statistical analysis is highly desirable. It is beneficial if applicants have experience in numerical modelling and programming.
Full details, including eligibility and how to apply, are available on the UCL HR website.
Security workstream: Ref: 1133195
The applicants should posess:
(1) an MSc in a quantitative social science topic within political science, crime science, statistics, geography, economics, sociology, or a relevant discipline.
(2) strong motivation to conduct independent research on the field of security, and basic knowledge on contemporary security concerns
(3) excellent quantitative research skills in social sciences, including a good command of statistical analysis and programming knowledge of relevant packages (R, SAS, Stata, SPSS)
(4) the ability to work independently and take responsibility of a programme of work
(5) excellent written communication skills
Full details, including eligibility and how to apply, are available on the UCL HR website.
The applicants should possess a good honours degree (1st Class or 2:1 minimum) in any of the following disciplines: Economics, Statistics, Physics, Mathematics, Finance, or in any social science program with a strong quantitative component within Geography, Sociology, Epidemiology/ Public Health, GIS, Spatial Analysis or any other closely relevant subject area. An MSc in one of these areas or/and knowledge in econometric and statistical analysis is highly desirable. They should also have excellent quantitative research skills in social sciences including a good command of statistical analysis and programming knowledge of relevant packages (R, SAS,SPSS). As well as strong motivation to conduct independent research on the field of migration and basic knowledge of contemporary issues on migration.
Full details, including eligibility and how to apply, are available on the UCL HR website.
1 comment:
Thank your a lot for this post. Unfortunately, I've found your blog too late - the deadline for these positions was 19th May. If you have similar information about research positions in the field of GIS, I will be very grateful if you post it there.
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