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Position: Research Associate/Fellow in Geo-Statistics
Institution: University of Glasgow
Location: Glasgow, Scotland, United Kingdom
Duties: Study the geo-spatial and temporal patterns of the missingness of data in ‘new forms of data’, e.g. crowdsourced data and social media, as well as self-reported and administrative data to understand the underlying reasons for missingness, bias and under-representations and to design more inclusive digital technologies and surveys; Evaluate the impacts of implementing statistical and machine learning techniques on data with missingness not at random; Collaborate with the growing team in Geospatial Data Science at the University of Glasgow and project partners- including Ordnance Survey GB, Google, Microsoft Research, Uber, Alan Turing Institute, BIM Academy, Leibniz Institute of Ecological Urban and Regional- to develop a statistical framework analysing and validating ‘new forms of data’ and design and develop mobile and web apps based on the best practices for more inclusive and responsible technologies; Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy
Requirements: An awarded (or recently submitted or near completion) PhD, Scottish Credit and Qualification Framework level 12, or equivalent professional qualifications in relevant academic/research discipline, and experience of personal development in one of the areas of statistics, mathematics, computer science, quantitative geography, data science, or similar disciplines; Extensive (theoretical and practical) knowledge of quantitative data analysis, (geo-) statistics, inverse problems, inference systems, simulation and computer models; Extensive experience in one or two programming languages (e.g. Python, R)
   
Text: Client Logo 07-October-2021 14:35 Navigation Section Search Vacancies Search Vacancies Click to carry out a search of appointments Login Login Click to Login Register Register Click to Register Terms & Conditions Terms & Conditions Agree to the terms and conditions Job Details Job Details Click to view the current job specification Job Details Research Associate / Fellow in Geo- Statistics Job Purpose To make a leading contribution to the growing research in Geospatial Data Science within the College of Science and Engineering, this research associate/fellow will work with Professor Ana Basiri and the growing team to investigate the geospatial patterns of missingness and biases in ‘new forms of data’, such as user generated and self-reported data. The successful candidate will be required to make (a leading) contribution to the formulation and submission of research publications and research proposals, supervision of PhD and MSc students, projects and presenting and organising conferences, seminars and workshops in the relevant areas as opportunities allow. Main Duties and Responsibilities Perform the following activities in conjunction with the other researchers and under the guidance of the Principal Investigator of the UK Research and Innovation (UKRI) Future Leaders Fellowship on : 1. Study the geo-spatial and temporal patterns of the missingness of data in ‘new forms of data’, e.g. crowdsourced data and social media, as well as self-reported and administrative data to understand the underlying reasons for missingness, bias and under-representations and to design more inclusive digital technologies and surveys. 2. Evaluate the impacts of implementing statistical and machine learning techniques on data with missingness not at random. 3. Collaborate with the growing team in Geospatial Data Science at the University of Glasgow and project partners- including Ordnance Survey GB, Google, Microsoft Research, Uber, Alan Turing Institute, BIM Academy, Leibniz Institute of Ecological Urban and Regional- to develop a statistical framework analysing and validating ‘new forms of data’ and design and develop mobile and web apps based on the best practices for more inclusive and responsible technologies. 4. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy. 5. Develop and enhance your research profile and reputation and that of The University of Glasgow and research team, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. 6. Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile. 7. Supporting and contributing to FAIR principles, i.e. findability, accessibility, interoperability, and reusability of research in geospatial data science within the school and the college by, for example, making data and code repositories available and reproducible, writing blogs, drafting technical/progress reports and papers as appropriate. 8. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research. 9. Collaborate with colleagues and participate in team/group meetings/seminars/workshops across the research team and the University and wider community (e.g Academic, government, public and Industrial Partners). 10. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development. 11. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure 12. Contribute to outreach and recruitment activities of The University of Glasgow. 13. Carry out modest Teaching activities and associated admin as assigned by the Principal Investigator and/or Head of the School 14. Be responsible for safety management related to the organisation and running of Laboratory and/or Experimental techniques, equipment, and processes as appropriate. 15. Keep up to date with current knowledge and recent advances in the field/discipline. 16. Engage in personal, professional and career development to enhance both specialist and transferable skills in accordance with desired career trajectory. 17. Undertake any other duties of equivalent standing as assigned by the Head of School and PI. 18. To contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan: World Changers Together. http://www.gla.ac.uk/about/strategy/people/ **For appointment at grade 8 the candidate is expected to perform the above duties with a higher degree of independence, leadership and responsibility, particularly in relation to planning, funding, collaborating and publishing research, and mentoring colleagues, establish and sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area and develop/implement a suitable research strategy. **These key tasks are not intended to be exhaustive but simply highlight a number of major tasks which the staff member may be reasonably expected to perform. Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential: A1 An awarded (or recently submitted or near completion) PhD, Scottish Credit and Qualification Framework level 12, or equivalent professional qualifications in relevant academic/research discipline, and experience of personal development in one of the areas of statistics, mathematics, computer science, quantitative geography, data science, or similar disciplines. A2 Extensive (theoretical and practical) knowledge of quantitative data analysis, (geo-) statistics, inverse problems, inference systems, simulation and computer models A3 Extensive experience in one or two programming languages (e.g. Python, R) Desirable: B1 Good knowledge and experience of using at least two of the followings: analysing missing data (in particular Missingness Not At Random), causal inference, (multi-scale) geographically weighted regression, and (quasi-) Monte Carlo methods Skills Essential: C1 Research creativity and cross-discipline collaborative ability as appropriate. C2 Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely C3 Excellent interpersonal skills including team working and a collegiate approach C4 Appropriate workload, time, project, budget, and people management skills C5 Extensive quantitative data analysis skills C6 Self-motivation, initiative and independent thought/working C7 Problem solving skills including a flexible and pragmatic approach For appointment at grade 8: C8 Good Team Leadership skills Experience Essential: E1 Sufficient breadth and/or depth of knowledge in specialist subject/discipline and of research/teaching methods and techniques to work within the subject area. E2 Experience of scientific writing E3 Proven ability to deliver quality outputs in a timely and efficient manner E4 Evidence of an emerging track record of publications in a relevant field For appointment at grade 8: E5 Normally sufficient postdoctoral experience in a related field E6 A track record of presentation and publication of research results in quality journals/conferences E7 Experience of making a leading contribution in academic activities E8 Ability to demonstrate a degree of independence as illustrated by identification of project objectives from assessment of the literature, design & analysis of experiments & drafting of papers. E9 Experience in undertaking independent research Desirable: F1 Experience with collaborating with or working at international academic environments of the highest national or international quality F3 Experiences with identifying and developing funding application as appropriate F4 Support of less experienced members of the project team e.g. postgraduate and project students For appointment at grade 8: F5 An emerging national or international reputation Standard Terms and Conditions Salary will be on the University's Research and Teaching Grade, level 7/8, £36,382 - £40,927 / £44,706 - £51,799 per annum. This post is full time with funding up to 3 years in the first instance,. New entrants to the University will be required to serve a probationary period of 6 months. Relocation assistance will be provided where appropriate. The successful applicant will be eligible to join the Universities' Superannuation Scheme. Further information regarding the scheme is available from the Superannuation Officer, who is also prepared to advise on questions relating to the transfer of Superannuation benefits. All research and related activities, including grants, donations, clinical trials, contract research, consultancy and commercialisation are required to be managed through the University's relevant processes (e.g. contractual and financial), in accordance with the University Court's policies. It is the University of Glasgow's mission to foster an inclusive climate, which ensures equality in our working, learning, research and teaching environment. We strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting gender equality. The University of Glasgow, charity number SC004401. Vacancy Ref : 068389 Close Date : 27-Oct-2021 23:45 Apply for Job
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