You will be expected to perform high quality research as part of the project ‘Air Quality Sensor Networks'. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, 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 sensor placement, high-resolution space-time forecasting, dynamic modelling, 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 strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning
Research Fellow (81323-068) Click here to go back to search results Apply Now Vacancy Type/Job category Research Only Department Computer Science Salary ?29,799 - ?38,833 per annum (plus ?3000 London Allowance) Location The Alan Turing Instiute, London Vacancy Overview Fixed Term Position for 24 months The start date to be negotiated with the successful candidate, but is expected to be no later than January 2019. We are seeking to recruit a postdoctoral research fellow, to work in the area of machine learning and spatial statistics. The post is a joint appointment between the Departments of Computer Science and Statistics at the University of Warwick, but the successful application will be based at The Alan Turing Institute in London (a London allowance will be payable). 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 be expected to perform high quality research under the supervision of Dr. Theo Damoulas and Prof. Mark Steel, as part of the Turing-Lloyds Register Foundation funded project ?Air Quality Sensor Networks'. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, 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 sensor placement, high-resolution space-time forecasting, dynamic modelling, 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 strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning. 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 (?28,936). 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 (?29,799). Candidates should provide their application form a CV, a list of publications and a research statement. Job Description JOB PURPOSE: To undertake research in order to support the work of the departments and develop and enhance their reputation, both internally and externally. DUTIES AND 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 Specification The 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 1 Possession 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 2 Ability or potential to conduct high-quality research and publish excellent work in relevant fields. (a), (c) Essential Criteria 3 Ability to initiate, develop and deliver high quality research in the topics of the ?Air Quality Sensor Networks' project and to publish in peer reviewed conferences and journals. (a), (c) Essential Criteria 4 Good effective communication (oral and written) skills, presentation and training skills. (a), (c) Essential Criteria 5 Good interpersonal skills. (c) Essential Criteria 6 Ability to work independently and as part of a team on research programmes. (a), (c) Essential Criteria 7 Ability to initiate, plan, organise, implement and deliver programmes of work to tight deadlines. (a), (c) Desirable Criteria 1 A developing track record in producing high quality academic publications. (a), (c) Desirable Criteria 2 Ability to write research reports and papers in styles accessible to both academic and lay audiences. (a), (c) Further Particulars The 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 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 . Recruitment of Ex-Offenders Policy As 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 University?s Vacancy pages and applicants may request a copy of the DBS Code of Practice. Other Information Right to work in the UK If you do not yet have the right to work in the UK and/ or are seeking sponsorship under Tier 2 of 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 under Tier 2. The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual?s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010. Closing Date 12 Jul 2018 Apply Now Email this job to a friend
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