The Department of Political Science/School of Public Policy at UCL is seeking to fill two (2) positions in Data Science and Public Policy either at the Lecturer or Associate Professor level (equivalent to tenure-track Assistant/Associate Professor U.S. positions). We welcome applications from candidates from any disciplinary background (e.g. political science, public policy, economics, social policy, or health policy among others) with research expertise in developing and applying quantitative approaches for answering questions in public policy. Successful candidates will contribute to the Department's undergraduate and post-graduate teaching programmes, including core modules. The main teaching responsibilities of the successful candidates will be to deliver modules on the Department's new MSc in Data Science and Public Policy. This degree, co-taught with UCL's Department of Economics, provides students with advanced training in quantitative methods, an understanding of how data and evidence is used in the modern policymaking process, and an understanding of key theories in public policy. Successful candidates will be expected to contribute to at least two out of four of the new modules included on the MSc: * The Politics of Public Policy * Data, Evidence, and Public Policy * Statistical Learning for Public Policy * Quantitative Text Analysis Descriptions of each of these modules are provided later in this document. Candidates may also be expected to deliver a new module within their area of expertise (determined in conjunction with Departmental needs). We especially welcome applications from candidates from under-represented backgrounds, and from candidates using a wide range of theoretical and methodological approaches. The Department of Political Science at UCL is a leading international centre for political research. It was ranked fifth in the UK in the 2014 Research Excellence Framework, and offers a uniquely stimulating environment for the study of all major fields of politics, as well as public management and public policy. These posts play a critical role in the strategic research plan of the Department, as well as the expansion of its postgraduate teaching provision as its new MSc in Data Science and Public Policy. More details about the Department of Political Science and UCL can be found at below and at https://www.ucl.ac.uk/political-science/ and https://www.ucl.ac.uk/about/. The posts will commence on the 01 September 2022. The successful candidate will need to have a PhD in Political Science or related subject (candidates nearing completion may be considered). Evidence of proven ability or potential for academic research of internationally-recognised calibre, experience of teaching in quantitative methods and/or public policy modules at undergraduate or postgraduate level , and the ability to teach at least two of the four modules: "The Politics of Public Policy", "Data, Evidence, and Public Policy", "Statistical Learning for Public Policy", and "Quantitative Text Analysis" are essential. When applying please include a CV and a cover letter which should include a statement of research and teaching interests. Please do not submit any papers at this stage as they will not be looked at. A job description and person specification can be accessed at the bottom of this page. Further information on the Department of Political Science, including research clusters and teaching programmes, is available on our website (http://www.ucl.ac.uk/political-science). For informal enquiries please contact Dr Jack Blumenau j.blumenau@ucl.ac.uk<mailto:j.blumenau@ucl.ac.uk> and for queries regarding the vacancy or the application process, please contact (email: polsci.staffing@ucl.ac.uk<mailto:polsci.staffing@ucl.ac.uk>) We encourage applications from those who are underrepresented in the sector and at UCL including but, not exclusive, disabled, D/deaf and neurodiverse people, LGBTQ+ people, people from Black, Asian and ethnic minority backgrounds, especially women. To apply for the vacancy, please click on the following link; https://bit.ly/UCL_Lecturer_AssociateProf_DataScienceandPublicPolicy Best Regards Ajay Ajay Patel Staffing & Finance Manager UCL Department of Political Science Rubin Building, Room B21, 29-31 Tavistock Square London WC1H 9QU Tel: 020 7679 4944 (int: 24944) [signature_1248732352]<https://twitter.com/uclspp>[signature_90376860]<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.instagram.com%2Fuclspp%2F&data=02%7C01%7C%7C56f23f5954c04bb9219f08d74bdf9567%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637061295966990062&sdata=TRcMcPlN5Kf8c36oS%2BWMSvpmUSwdBJbbPVuHqZ3vUq8%3D&reserved=0>[signature_717888723]<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.facebook.com%2Fuclspp.politicalscience%2F&data=02%7C01%7C%7C56f23f5954c04bb9219f08d74bdf9567%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637061295967000061&sdata=V2vVabXbMzEaFYAtRIcvVkhA%2F13Ass%2BtB0cb5wIfWro%3D&reserved=0>[signature_1069279280]<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsoundcloud.com%2Fuser-916865595&data=02%7C01%7C%7C56f23f5954c04bb9219f08d74bdf9567%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637061295967000061&sdata=PbjRACRvTHsuDylHHDSpx6HkIo%2B%2BCy1tsEcSO%2F7jp18%3D&reserved=0> [signature_958736270] <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fchannel%2FUCTE85WbATl169c4yORD7VgA%3Fview_as%3Dsubscriber&data=02%7C01%7C%7C56f23f5954c04bb9219f08d74bdf9567%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637061295967010055&sdata=ezw%2Bpa5iyhwYMjjqANm43gfUc9uDJiNe2h9O%2F%2BVP1o8%3D&reserved=0> [signature_2007072545] <https://www.ucl.ac.uk/political-science> Subscribe to our Department mailing list<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fucl.us9.list-manage.com%2Fsubscribe%3Fu%3Ddb2eed63942cdb71b407188a5%26id%3D86f6f2fd18&data=02%7C01%7C%7C9b719ceba84740fcd14808d7a31f40d9%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637157226944594666&sdata=wjTmkTjnbPo7P64gYY6SOCvpfG6P58KrNJFdh6PCHNw%3D&reserved=0> Subscribe to our Alumni mailing list<https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Feepurl.com%2Fgj8uwr&data=02%7C01%7C%7C9b719ceba84740fcd14808d7a31f40d9%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637157226944594666&sdata=bAr2BL4pBnLxZDgTLC6dr07eYyrhwgB8HngNcGfhZYA%3D&reserved=0>