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Position: Research Fellow
Institution: University of Warwick
Location: Coventry, England, United Kingdom
Duties: This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, causal inference, experimental design and issues in spatio-temporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough research results in the areas of Bayesian statistics, causal inference, causal AI, and contribute to publishing these results in top rated venues
Requirements: You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a very strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning, causal inference and structural causal modeling
   
Text: You do not need Javascript to be able to use this page. Skip to Main Content University of Warwick Job Search: Research Fellow (103616-0821) Navigation Create Job Alerts Manage Job Alerts Reset Password FAQ's Not logged in. Research Fellow (103616-0821) Click here to go back to search resultsApply NowVacancy Type/Job categoryResearch OnlyDepartmentComputer ScienceSalary£31,406 - £40,927 per annumLocationUniversity of Warwick, CoventryVacancy OverviewFull time, fixed term contract for 36 months. The start date to be negotiated with the successful candidate. We are seeking to recruit a postdoctoral research fellow, to work in the area of probabilistic machine learning, decision making and data-driven causal inference. The post is a joint appointment between the Departments of Computer Science and Statistics at the University of Warwick. You will join a team of researchers affiliated with the ATI and led by Dr Theo Damoulas, including research assistants and PhD students in computer science and statistics. You will have opportunnities to collaborate with external partners from Microsoft Research, Data61, Amazon and policy makers from GLA, TfL and the UK government. You will be expected to perform high quality research under the supervision of Dr. Theo Damoulas, as part of the Turing AI Acceleration Fellowship Machine Learning Foundations for Digital Twins, awarded to Theo. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, causal inference, experimental design and issues in spatio-temporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough research results in the areas of Bayesian statistics, causal inference, causal AI, and contribute to publishing these results in top rated venues. You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a very strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning, causal inference and structural causal modeling. If you have not yet been awarded your PhD but are near submission or have recently submitted your PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure (£30,497). Upon successful award of your PhD and evidence of this fact, you will be promoted to Research Fellow on the first point of the level 6 of the University grade structure (£31,406). Candidates should provide their application form a CV, a list of publications and a research Job DescriptionJOB PURPOSE To undertake research in order to support the work of the departments and develop and enhance their reputation, both internally and externally. To undertake research in probabilistic machine learning and its intersection with causal AI to support Dr. Damoulas Turing AI Fellowship on Machine learning foundations for Digital Twins. The topics include development of probabilistic ML methodology for sequential decision making on digital twins, policy evaluation and forecasting in spatio-temporal dynamic settings, Bayesian optimisation and its intersection with structured inductive biases and causal prior information, experimental design, causal discovery and causal effect estimation from observational and interventional data, optimal decision making over complex multivariate spatio-temporal phenomena and related areas. DUTIES & RESPONSIBILITIES Research and Scholarship 1. To establish a sound research base within the departments in order to pursue individual and collaborative research of high quality, consistent with making a full active research contribution to the department in line with research strategy. 2. To write or contribute to publications or disseminate research findings using other appropriate media. 3. To attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the departments and the university. Administration and Other Activities 1. To engage in continuous professional development. 2. To ensure compliance with ethical and secure handling of data and health and safety in all aspects of work. 3. To participate in and develop internal and external partnerships, for example to identify sources of funding, generate income, obtain projects, or build relationships for future activities. Person SpecificationThe Person Specification focuses on the knowledge, skills, experience and qualifications required to undertake the role effectively. This is measured by (a) Application Form, (b) Test/Exercise, (c) Interview, (d) Presentation. Essential Criteria 1Possession of a PhD or an equivalent qualification in Statistics, Computer Science or a closely related discipline (or you will shortly be obtaining such a qualification). (a)Essential Criteria 2Ability or potential to conduct high-quality research and publish excellent work in relevant fields. (a,c)Essential Criteria 3Ability to initiate, develop and deliver high quality research in the topics of the Machine Learning Foundations for Digital Twins' fellowship and to publish in peer reviewed conferences and journals. (a,c)Essential Criteria 4Good effective communication (oral and written) skills, presentation and training skills. (a,c)Essential Criteria 5Good interpersonal skills. (c)Essential Criteria 6Ability to work independently and as part of a team on research programmes (a,c)Essential Criteria 7Ability to initiate, plan, organise, implement and deliver programmes of work to tight deadlines. (a,c)Desirable Criteria 1A developing track record in producing high quality academic publications. (a,c)Desirable Criteria 2Ability to write research reports and papers in styles accessible to both academic and lay audiences. (a,c)Further ParticularsThe Department of Computer Science is one of the top-ranking computing departments in the UK. In the most recent research evaluation exercise, published in 2014, the Department was ranked 2nd out of 89 UK computing departments. The Department of Statistics is a world-renowned department of statistics and one of the largest in Europe with particular strengths in Bayesian statistics. For further information about the University of Warwick, please read our University Further Particulars. For further information about the department, please visit the departmental website. Right to work in the UK If you do not yet have the right to work in the UK and/or are seeking sponsorship for a Skilled Worker visa in the UK points-based immigration system please click on this link which contains further information about obtaining right to work in the UK and details about eligibility for sponsorship for a Skilled Worker Visa. The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individuals differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010. Recruitment of Ex-Offenders PolicyAs an organisation using the (DBS) Disclosure and Barring Service to assess applicants suitability for positions of trust, the University of Warwick complies with the DBS Code of Practice and undertakes not to discriminate unfairly against any subject of a Disclosure on the basis of a conviction or other information revealed. More information is available on the Universitys Vacancy pages and applicants may request a copy of the DBS Code of Practice. Closing Date30 Sep 2021Apply NowEmail this job to a friend Sign in | © MMXIII | Terms | Privacy | Cookies | Accessibility
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