Research Associate / Fellow in Statistics of Missing Data

Job Purpose

To make a leading contribution to the growing research in Geospatial Data Science Group, this research associate/fellow will work with Professor Ana Basiri and the growing team to learn from geospatial data using variety of methods and models. This post will have the opportunity to work on a few newly awarded research projects including “Missing Data as Useful Data” where “new forms of data” are considered as useful data to be integrated/triangulated with traditional data to provide a reliable, timely, and updated understanding of fast-changing real world. This will be examined by nationally important and strategic applications, including managing under-reported crime, better social care and protection of society, inclusive city planning, and dynamic census using administrative and alternative data. The successful candidate will make (a leading) contribution to the formulation and delivery of world-leading research, developing their own career and team through delivering high impact outputs, submission of research proposals to develop their team and research, supervision of PhD and MSc students, presenting and organising conferences, seminars and workshops in the relevant areas as opportunities allow.Main Duties and ResponsibilitiesPerform the following activities in conjunction with the team: 1. Investigate the balance of high-quality survey data and large sample sized “new forms of data” to deal with the bias and under-representation issues of AI from a geographic perspective, to ultimately develop an inclusive and explainable geo-AI.2. Develop statistical framework to consider “new forms of data” as useful data to be integrated/triangulated with traditional data.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, Meta, and the Alan Turing Institute – to support the co-design and development of inclusive and responsible technologies.4. Take a leading role in the planning and conduct of assigned research individually and/or jointly in accordance with the project deliverables and project/group/School/College research strategy.5. Enhance and maintain 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. 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. 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).9. Take the lead on 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.10. Contribute to outreach activities of The University of Glasgow and carry out modest Teaching or supervision activities and associated admin as assigned by the Principal Investigator.11. Be responsible for safety management related to the organisation and running of Laboratory and/or Experimental techniques, equipment, and processes as appropriate.12. Engage in personal, professional and career development to enhance both specialist and transferable skills in accordance with desired career trajectory.13. Take a leading role in 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.14. Undertake any other duties of equivalent standing as assigned by the PI. 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 ExperienceKnowledge/QualificationsEssential:A1 An awarded 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, or similar disciplines.A2 Extensive (theoretical and practical) knowledge of quantitative data analysis, (geo-) statistics, imputation, inference systems, and simulationA3 Extensive experience at least in one programming language (e.g. Python, R)Desirable:B1 Good knowledge and experience of machine learning, geospatial data, or spatio-temporal dataSkillsEssential: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 conciselyC3 Excellent interpersonal skills including team working and a collegiate approachC4 Self-motivation, initiative and independent thought/workingC5 Problem solving skills including a flexible and pragmatic approachFor appointment at Grade 8:C6 Good Team Leadership skillsExperienceEssential:E1 Sufficient postdoctoral experience or equivalent in a related fieldE2 Experience of scientific writingE3 Proven ability to deliver quality outputs in a timely and efficient mannerFor appointment at Grade 8:E4 A track record of presentation and publication of research results in quality journals/conferencesE5 Experience of making a leading contribution in academic activitiesE6 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.E7 Experience in undertaking independent researchDesirable:F1 Experience with collaborating with or working at international academic environments of the highest national or international qualityF2 Experiences with identifying and developing funding application as appropriateF3 Support of less experienced members of the project team e.g. postgraduate and project studentsFor appointment at Grade 8:F4 An emerging national or international reputationClosing date: 1 October 2024Terms and ConditionsSalary will be Grade 7/8, £39,347 - £44,263 / £48,350 - £56,021 per annum. This post is full time, and has funding for up to 2 years As part of Team UofG you will be a member of a world changing, inclusive community, which values ambition, excellence, integrity and curiosity. As a valued member of our team, you can expect:1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. 3 A flexible approach to working.