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We are pleased to announce the availability of a full-time Senior Research Associate position in Artificial Intelligence and Semantic Technologies, available for up to 3 years. Researchers in all topics related to semantic technologies will be considered, with a preference towards researchers working on scalable systems for reasoning and query answering over large scale data sources, stream query processing systems, and on integrating machine learning and semantic technologies; see, e.g., our RDFox project (www.cs.ox.ac.uk/isg/tools/RDFox/), our AIDA project (www.turing.ac.uk/research/research-projects/artificial-intelligence-data-analytics) and our upcoming project OASIS which will focus on stream reasoning.


We aim to push forward the capabilities of semantic technologies, examining a number of directions such as developing languages and algorithms for declarative data analysis of static and dynamic data, distributed storage and reasoning, stream reasoning, integrating semantic and relational stores, and the (semi-) automation of data wrangling and knowledge acquisition. You will be conducting original research in these areas.


You will join a world-leading group with expertise in both the theory and practice of semantic technologies as recently recognised by best paper awards at both the International Joint Conference on Artificial Intelligence (IJCAI), and the International Conference on the Semantic Web (ISWC). See www.cs.ox.ac.uk/isg/krr for more information about the research group and our various research projects.


The primary selection criteria are a relevant PhD/DPhil with post-qualification research experience, (or close to completion) in theoretical computer science (particularly logic and/or databases). Experience in semantic technologies such as Datalog, RDF, and OWL, or of making grant applications is highly desirable.


Whilst the role is a Grade 8 position, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at Grade 7 (£32,817 - £40,322 p.a.) with the responsibilities adjusted accordingly (for Grade 7, you would be expected to hold a doctoral degree in computer science or be close to completion). This would be discussed with applicants at interview/appointment where appropriate.


The closing date for applications is 12.00 noon on Monday 18 November 2019.


Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave.

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"00000000"^^ . . . _:N73b5af1703a94296b9e652ce9afd1129 . . . "Department of Computer Science" . "extended address"@en . . "2019-11-18T12:00:00+00:00"^^ . "OLIS code" . . . . "address"@en . . "telephone"@en . "application/xhtml+xml" . . . . . "regulations page"@en . . "Computing Lab" . . "false"^^ . "Joe Atherton" . . . . . . "6"^^ . _:Na9d63639123744b88c6025e908b13e2f "University of Oxford" . "image" . _:Na9d63639123744b88c6025e908b13e2f "Wellington Square" . . . . . . . . "text/html" . . "Computer Science Library" . """We are pleased to announce the availability of a full-time Senior Research Associate position in Artificial Intelligence and Semantic Technologies, available for up to 3 years. Researchers in all topics related to semantic technologies will be considered, with a preference towards researchers working on scalable systems for reasoning and query answering over large scale data sources, stream query processing systems, and on integrating machine learning and semantic technologies; see, e.g., our RDFox project (www.cs.ox.ac.uk/isg/tools/RDFox/), our AIDA project (www.turing.ac.uk/research/research-projects/artificial-intelligence-data- analytics) and our upcoming project OASIS which will focus on stream reasoning. We aim to push forward the capabilities of semantic technologies, examining a number of directions such as developing languages and algorithms for declarative data analysis of static and dynamic data, distributed storage and reasoning, stream reasoning, integrating semantic and relational stores, and the (semi-) automation of data wrangling and knowledge acquisition. You will be conducting original research in these areas. You will join a world-leading group with expertise in both the theory and practice of semantic technologies as recently recognised by best paper awards at both the International Joint Conference on Artificial Intelligence (IJCAI), and the International Conference on the Semantic Web (ISWC). See www.cs.ox.ac.uk/isg/krr for more information about the research group and our various research projects. The primary selection criteria are a relevant PhD/DPhil with post- qualification research experience, (or close to completion) in theoretical computer science (particularly logic and/or databases). Experience in semantic technologies such as Datalog, RDF, and OWL, or of making grant applications is highly desirable. Whilst the role is a Grade 8 position, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at Grade 7 (£32,817 - £40,322 p.a.) with the responsibilities adjusted accordingly (for Grade 7, you would be expected to hold a doctoral degree in computer science or be close to completion). This would be discussed with applicants at interview/appointment where appropriate. The closing date for applications is 12.00 noon on Monday 18 November 2019. Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example www.cs.ox.ac.uk/aboutus/women-cs- oxford/index.html, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave. """ . . "OxPoints"@en . "comment" . . . "COMDL" . "executive page"@en . """Job description and selection criteria Job title Senior Research Associate in Artificial Intelligence and Semantic Technology (2 posts) Division MPLS Department Computer Science Location Wolfson Building, Parks Road, Oxford. Grade and salary Grade 8: Salary £40,792 – £48,677 p.a. Hours Full Time Contract type Fixed term for up to 3 years Reporting to Professor Bernardo Cuenca Grau & Professor Ian Horrocks Vacancy reference 143601 Additional information Whilst the role is a grade 8 position, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at grade 7 (Grade 7: £32,236 - £39,609 p.a.) with the responsibilities adjusted accordingly. This would be discussed with applicants at interview/appointment where appropriate. The role We are pleased to announce the availability of a full-time Senior Researcher in Artificial Intelligence and Semantic Technologies positions for up to 3 years. Researchers in all topics related to semantic technologies and knowledge graphs will be considered, with a preference towards researchers working on scalable systems for reasoning and query answering over large scale data sources, stream query processing, and on integrating machine learning and semantic technologies; see, e.g., our RDFox project (http://www.cs.ox.ac.uk/isg/tools/RDFox/) and our AIDA project (https://www.turing.ac.uk/research/research-projects/artificial-intelligence-data-analytics). The research team aims to push forward the capabilities of semantic technologies, examining a number of directions such as developing languages and algorithms for declarative data analysis of static and dynamic data, distributed storage and reasoning, stream reasoning, integrating semantic and relational stores, and the (semi-) automation of data wrangling and knowledge acquisition. The successful candidate will join a world leading group with expertise in both the theory and practice of semantic technologies as recently recognised by best paper awards at both the International Joint Conference on Artificial Intelligence (IJCAI), and the International Conference on the Semantic Web (ISWC). See http://www.cs.ox.ac.uk/isg/krr for more information about the research group and our various research projects. Research topic Semantic Technology Principal Investigator / supervisor Professor Bernardo Cuenca Grau and Professor Ian Horrocks Funding partner EPSRC Responsibilities Develop research questions within a specific context, conduct individual research in the area of semantic technologies, including both theoretical foundations and system development, testing and evaluation Regularly submit research articles for publication in peer-reviewed international conferences and journals, and disseminate research finding by presenting papers at international conferences and workshops Agree clear task objectives, organise, and delegate work to other members of the team Raise research funds through grant applications, and manage own area of a larger research budget Share responsibility for shaping the research group’s plans Liaise with funding bodies and provide information to project stakeholders and represent the research group at external meetings/seminars Carry out collaborative projects with colleagues in partner institutions, and research groups Participate in meetings with colleagues and industrial partners in Oxford, Oslo and elsewhere Assist in the supervision of post-graduate students working on related projects Carry out any other duties as are within the scope, spirit and purpose of the job as requested by their line manager or the Principal Investigator The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students. Selection Criteria Essential Hold a relevant Ph.D/D.Phil with post-qualification research experience* Experience in theoretical computer science, particularly logic and/or databases Strong publication record (in journals such as AI, JAIR, TODS, VLDB, etc. and conferences such as IJCAI, AAAI, KR, WWW, etc.) familiarity with the existing literature and research in the field and a documented track record of ability to conduct and complete research projects. Ability to manage own academic research and associated activities. Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings. Willingness to collaborate with others and work effectively as a member of a team. Desirable Experience in semantic technologies such as Datalog, RDF, and OWL. Experience of making grant applications *Evidence required: A copy of your PhD/ DPhil award certificate; IF the post is under-filled at Grade 7, the following will be accepted: An academic reference confirming the qualification has been awarded; An academic reference confirming that you have submitted your thesis, if you have not yet completed. About the University of Oxford Welcome to the University of Oxford. We aim to lead the world in research and education for the benefit of society both in the UK and globally. Oxford’s researchers engage with academic, commercial and cultural partners across the world to stimulate high-quality research and enable innovation through a broad range of social, policy and economic impacts. We believe our strengths lie both in empowering individuals and teams to address fundamental questions of global significance, while providing all our staff with a welcoming and inclusive workplace that enables everyone to develop and do their best work. Recognising that diversity is our strength, vital for innovation and creativity, we aspire to build a truly diverse community which values and respects every individual’s unique contribution. While we have long traditions of scholarship, we are also forward-looking, creative and cutting-edge. Oxford is one of Europe's most entrepreneurial universities. Income from external research contracts in 2016/17 exceeded £564m and we rank first in the UK for university spin-outs, with more than 130 companies created to date. We are also recognised as leaders in support for social enterprise. Join us and you will find a unique, democratic and international community, a great range of staff benefits and access to a vibrant array of cultural activities in the beautiful city of Oxford. For more information please visit www.ox.ac.uk/about/organisation Department of Computer Science The Department of Computer Science was established in 1957, making it one of the longest-established Computer Science departments in the country. It is one of the UK’s leading Computer Science Departments (ranked first in a number of international rankings). The UK Research Excellence Framework (REF) in December 2014 resulted in 74 members of the Department having 53% of their research activity ranked in the top category of 4* (world-leading). Overall, we received an average of 3.34 across the Department (3* being internationally excellent). A significant majority of the Department are active in externally sponsored research, with both government and industrial funding. At present, there are 69 members of academic staff and almost 100 research staff. The Department has close links with government, industry, and other departments within the University. Among the latter are Mathematics, Engineering, Physics, Statistics and a number of life sciences departments. The Department is housed across multiple sites within the University’s South Parks Road Science Area, facilitating strong collaborative links with research groups and institutes in closely allied areas (including the Oxford Internet Institute and the Oxford e-Research Centre). This is an essentially inter-disciplinary activity which is at present attracting major funding from a number of sources. At present, the Department holds over £50m in external research contracts. Research in the Department is currently managed in ten themes: Algorithms & Complexity Theory focusses on determining the inherent difficulty of computational problems, classifying problems according to this inherent difficulty, and designing and analysing algorithms that use computational resources as efficiently as possible; Artificial Intelligence & Machine Learning focuses on theoretical foundations, multiagent systems, deep learning and computational linguistics; Automated Verification investigates theory and practice of formal verification and correct-by-construction synthesis for software and hardware systems; Computational Biology & Health Informatics is concerned with computational approaches for biomedical research and healthcare innovation; Cyber-Physical Systems is focusing on intelligent and autonomous sensor systems with applications in positioning, healthcare, environmental monitoring and smart cities; Foundations, Structures and Quantum embraces interdisciplinary research, and has a particular interest in structural foundations of quantum computation; Human-Centred Computing covers human-computer interaction, social computing and world-wide web; Information Systems covers databases, knowledge representation and reasoning; Programming Languages covers functional programming, program analysis, and programming language foundations; Security specialises in cybersecurity, protocol analysis, systems security, trusted computing, human-centred security, and networking. For more information, please visit: http://www.cs.ox.ac.uk/. The Mathematical, Physical, and Life Sciences Division (MPLS) The Mathematical, Physical, and Life Sciences (MPLS) Division is one of the four academic divisions of the University. Oxford is widely recognised as one of the world's leading science universities. The disciplines within the MPLS Division regularly appear at the highest levels in world rankings. In the results of the six-yearly UK-wide assessment of university research, REF2014, the MPLS division received the highest overall grade point average (GPA) and the highest GPA for outputs. We received the highest proportion of 4* outputs, and the highest proportion of 4* activity overall. More than 50 per cent of MPLS activity was assessed as world leading. The MPLS Division's 10 departments and 3 interdisciplinary units span the full spectrum of the mathematical, computational, physical, engineering and life sciences, and undertake both fundamental research and cutting-edge applied work. Our research addresses major societal and technological challenges and is increasingly focused on key interdisciplinary issues. We collaborate closely with colleagues in Oxford across the medical sciences, social sciences and humanities, and with other universities, research organisations and industrial partners across the globe in pursuit of innovative research geared to address critical and fundamental scientific questions. MPLS is proud to be the home of some of the most creative and innovative scientific thinkers and leaders working in academe.  Our senior researchers have been awarded some of the most significant scientific honours (including Nobel prizes and prestigious titles such as FRS and FR.Eng) and we have a strong tradition of attracting and nurturing the very best early career researchers who regularly secure prestigious fellowships.  The Division is also the proud holder of eight Athena Swan Awards (4 Silver and 4 Bronze) illustrating our commitment to ensure good practice and to encourage women in science at all levels in the division. We have around 6,000 students and play a major role in training the next generation of leading scientists. Oxford's international reputation for excellence in teaching is reflected in its position at the top of the major league tables and subject assessments. MPLS academics educate students of high academic merit and potential from all over the world. Through a mixture of lectures, practical work and the distinctive college tutorial system, students develop their ability to solve major mathematical, scientific and engineering problems. MPLS is dedicated to bringing the wonder and potential of science to the attention of audiences far beyond the world of academia. We have a strong commitment to supporting public engagement in science through initiatives including the Oxford Sparks portal (http://www.oxfordsparks.net/) and a large variety of outreach activities; these are crucial activities given so many societal and technological issues demand an understanding of the science that underpins them. We also endeavour to bring the potential of our scientific efforts forward for practical and beneficial application to the real world and our desire is to link our best scientific minds with industry and public policy makers. For more information about the MPLS division, please visit: http://www.mpls.ox.ac.uk/ How to apply Before submitting an application, you may find it helpful to read the ‘Tips on applying for a job at the University of Oxford’ document, at www.ox.ac.uk/about/jobs/supportandtechnical/. If you would like to apply, click on the Apply Now button on the ‘Job Details’ page and follow the on-screen instructions to register as a new user or log-in if you have applied previously. Please provide details of two referees and indicate whether we can contact them now. You will also be asked to upload a CV and a supporting statement. The supporting statement should explain how you meet the selection criteria for the post using examples of your skills and experience. This may include experience gained in employment, education, or during career breaks (such as time out to care for dependants). Your application will be judged solely on the basis of how you demonstrate that you meet the selection criteria stated in the job description. Please upload all documents as PDF files with your name and the document type in the filename.  All applications must be received by midday on the closing date stated in the online advertisement. Information for priority candidates A priority candidate is a University employee who is seeking redeployment because they have been advised that they are at risk of redundancy, or on grounds of ill-health/disability. Priority candidates are issued with a redeployment letter by their employing departments. If you are a priority candidate, please ensure that you attach your redeployment letter to your application (or email it to the contact address on the advert if the application form used for the vacancy does not allow attachments) Should you experience any difficulties using the online application system, please email recruitment.support@admin.ox.ac.uk. Further help and support is available from www.ox.ac.uk/about_the_university/jobs/support/. To return to the online application at any stage, please go to: www.recruit.ox.ac.uk. Please note that you will be notified of the progress of your application by automatic emails from our e-recruitment system. Please check your spam/junk mail regularly to ensure that you receive all emails. Important information for candidates Pre-employment screening Please note that the appointment of the successful candidate will be subject to standard pre-employment screening, as applicable to the post. This will include right-to-work, proof of identity and references. We advise all applicants to read the candidate notes on the University’s pre-employment screening procedures, found at: www.ox.ac.uk/about/jobs/preemploymentscreening/. Data Privacy Please note that any personal data submitted to the University as part of the job application process will be processed in accordance with the GDPR and related UK data protection legislation. For further information, please see the University’s Privacy Notice for Job Applicants at: www.admin.ox.ac.uk/councilsec/compliance/gdpr/privacynotices/job/. The University’s Policy on Data Protection is available at: www.admin.ox.ac.uk/councilsec/compliance/gdpr/universitypolicyondataprotection/. The University’s policy on retirement The University operates an Employer Justified Retirement Age (EJRA) for all academic posts and some academic-related posts. From 1 October 2017, the University has adopted an EJRA of 30 September before the 69th birthday for all academic and academic-related staff in posts at grade 8 and above. The justification for this is explained at: www.admin.ox.ac.uk/personnel/end/retirement/acrelretire8+/. For existing employees, any employment beyond the retirement age is subject to approval through the procedures: www.admin.ox.ac.uk/personnel/end/retirement/acrelretire8+/. There is no normal or fixed age at which staff in posts at grades 1–7 have to retire. Staff at these grades may elect to retire in accordance with the rules of the applicable pension scheme, as may be amended from time to time. Equality of Opportunity Entry into employment with the University and progression within employment will be determined only by personal merit and the application of criteria which are related to the duties of each particular post and the relevant salary structure. In all cases, ability to perform the job will be the primary consideration. No applicant or member of staff shall be discriminated against because of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Benefits of working at the University University Club and sports facilities Membership of the University Club is free for all University staff. The University Club provides social, sporting and hospitality facilities. Staff can also use the University Sports Centre on Iffley Road at discounted rates, including a fitness centre, powerlifting room, and swimming pool. See www.club.ox.ac.uk and www.sport.ox.ac.uk/oxford-university-sports-facilities. Information for international staff The University offers support and advice to international staff, including a visa loan scheme to cover the costs of UK visa applications for staff and their dependents. See www.admin.ox.ac.uk/personnel/permits/reimburse&loanscheme/. Information for staff new to Oxford If you are relocating to Oxfordshire from overseas or elsewhere in the UK, the University's Welcome Service website includes practical information about settling in the area, including advice on relocation, accommodation and local schools. See www.welcome.ox.ac.uk. The University of Oxford Newcomers' Club The University of Oxford Newcomers' Club is an organisation run by volunteers that aims to assist the partners of new staff to settle into Oxford and to provide them with an opportunity to meet people in the area. See www.newcomers.ox.ac.uk. Childcare The University has excellent childcare services with five University nurseries, as well as University-supported places at many other private nurseries. For full details including how to apply and the costs, see www.admin.ox.ac.uk/childcare. Family-friendly benefits The University subscribes to My Family Care service through which staff are eligible to register for emergency back-up childcare and adultcare services, a 'speak to an expert' advice service and a wide range of guides and webinars through a website called the Work+Family space. See: www.admin.ox.ac.uk/personnel/staffinfo/benefits/family/mfc/. Disabled staff We are committed to supporting members of staff with disabilities or long-term health conditions. For further details, including information about how to make contact, in confidence, with the University’s Staff Disability Advisor, see www.admin.ox.ac.uk/eop/disab/staff. Staff networks The University has a number of staff networks including the Oxford Research Staff Society, BME staff network, LGBT+ staff network and a disabled staff network. You can find more information at www.admin.ox.ac.uk/eop/inpractice/networks/. 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