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We are seeking three Research Associates to join the ERC-funded project ‘Algorithms for Complex Collective Decisions of Structured Domains’ (ACCORD) led by Professor Edith Elkind. This project aims to develop new tools and methodologies for making complex group decisions in rich and structured environments.


The role involves formulating desiderata that apply to such preference aggregation procedures, designing specific procedures that satisfy as many of these desiderata as possible, and developing efficient algorithms for computing them. You will be expected to manage your own research and administrative activities which will include small scale project management, as well as collaborate in the preparation of research papers for publication in conferences and journals.


The primary selection criteria are a PhD (or close to completion), in a relevant area of science (which could be computer science, mathematics, economics or operations research) together with a documented track record of completing research projects in the area of algorithms, complexity, social choice, multi-agent systems, or operations research as witnessed by published peer-reviewed work. You will possess excellent communication skills and be able to work both independently and as part of a collaborative team.


The closing date for applications is 12.00 noon on 22 February 2018.

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"press page"@en . . . . . """_________________________________________________________________________ University of Oxford Department of Computer Science Job description and selection criteria Job title Research Associate in Computational Social Choice (ACCORD) – 3 posts Division MPLS Department Computer Science Location Wolfson Building, Parks Road, Oxford. Grade and salary Grade 7: £31,604 - £38,833 p.a. Hours Full Time (Part time/Flexible working considered) Contract type Fixed term until 30 June 2020 Reporting to Prof Edith Elkind Vacancy Reference 133056 The role Research topic Algorithms for Complex Collective Decisions of Structured Domains Principal Investigator / supervisor Prof Edith Elkind Funding partner ERC The ERC project “Algorithms for Complex Collective Decisions of Structured Domains (ACCORD)” aims to develop new tools and methodologies for making complex group decisions in rich and structured environments. It focuses on applications where each member of a decision-making body has preferences over a finite set of alternatives, and the goal is to synthesize a collective preference over these alternatives, which may take the form of a partial order over the set of alternatives with a predefined structure: examples include selecting a fixed-size set of alternatives, a ranking of the alternatives, a winner and up to two runner-ups, etc. The project will aim to formulate desiderata that apply to such preference aggregation procedures, to design specific procedures that satisfy as many of these desiderata as possible, and to develop efficient algorithms for computing them. As the latter step may be infeasible on general preference domains, it will focus on identifying the least restrictive domains that enable efficient computation, and use real-life preference data to verify whether the associated restrictions are likely to be satisfied in realistic preference aggregation scenarios. One of the goals of the project will be to provide open-source software implementations of our procedures, and reach out to the potential users to obtain feedback on their practical applicability; at least one of the three candidates will be expected to be able to do this. A successful applicant is not necessarily expected to take part in all aspects of the project, although an ability to do so is desirable. Responsibilities/duties            Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines Collaborate in the preparation of scientific reports and journal articles and occasionally present papers and posters Adapt existing and develop new scientific techniques and based on the skills of the candidate possibly implement them in an open-source software tool Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques Participate in regular meetings with colleagues in Oxford and elsewhere Test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate Contribute ideas for new research projects Develop ideas for generating research income, and present detailed research proposals to senior researchers Represent the research group at external meetings/seminars, either with other members of the group or alone Carry out collaborative projects with colleagues in partner institutions, and research groups The post holder will have the opportunity to teach. This may include lecturing, smallgroup teaching, and tutoring of undergraduates and graduate students.  The post holder will 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 Investigators. Hazard-specific / Safety-critical duties [delete if not appropriate] See: www.admin.ox.ac.uk/personnel/recruit/preempcheck/compulsorychecks/medical This job includes the following hazards or safety-critical activities which will require successful pre-employment health screening through our Occupational Health Service before the successful candidate will be allowed to start work:  Travel outside of Europe or North America on University Business Selection criteria Essential         A PhD (or close to completion) in a relevant area or science (including, but not limited to computer science, mathematics, economics, or operations research) A documented track record of the ability to conduct and complete research projects in the area of in the area of algorithms, complexity, social choice, multi-agent systems, or operations research, as witnessed by published peer-reviewed work (according to the experience of the candidate) Ability to manage own academic research and associated activities Ability to contribute ideas for new research projects and research income generation Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings A genuine interest in the aims of the research programme Ability to work in a team Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings Desirable    A track record in computational social choice Experience of independently managing a discrete area of a research project Experience of actively collaborating in the development of research articles for publication 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, and in providing all of our staff with a welcoming and inclusive workplace that supports everyone to develop and do their best work. Recognising that diversity is a great strength, and 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 2014/15 exceeded £522.9m and ranked first in the UK for university spin-outs, with more than 130 spin-off 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 longestestablished 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* (worldleading). 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. 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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 preemployment 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/. 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+/. Form 1 October 2017, 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 The University Club provides social, sporting and hospitality facilities. It incorporates a bar, café and sporting facilities, including a gym. 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 (or those relocating from another part of the UK) If you are relocating to Oxfordshire from overseas, or elsewhere in the UK, the University's International Staff website includes practical information related to moving to and settling in Oxford such as advice on immigration, relocation, accommodation, or registering with a doctor. See: www.internationalstaffwelcome.admin.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 (www.admin.ox.ac.uk/personnel/staffinfo/benefits/family/mfc/) and staff are eligible to register for emergency back-up childcare and adultcare services, a 'speak to an expert' phone line and a wide range of guides and webinars through a website called the Work + Family space. Disabled staff We are committed to supporting members of staff with disabilities or long-term health conditions. Please visit www.admin.ox.ac.uk/eop/disab/staff for further details including information about how to make contact, in confidence, with the University’s Staff Disability Advisor. 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