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We are excited to offer this fixed-term Research Associate position at the University of Oxford, under the supervision of Professor Michael Bronstein. The Research Associate will be part of the international Project CETI. The successful candidate will be located in the Department of Computer Science. Reporting to Professor Michael Bronstein, the post holder will be responsible for conducting novel research in the field of machine learning applied to deciphering the communication system of sperm whales. The post holder will collaborate with other partners of Project CETI (MIT, Harvard, UC Berkeley) and will have opportunities to participate in field work in Dominica. Project CETI is an international initiative to understand the communication of sperm whales using advances in ML. The project has an interdisciplinary scientific board including marine biologists, artificial intelligence researchers, roboticists, theoretical computer scientists, and linguists. This post is based at the Department of Computer Science and on-site working is required. Remote working can be possible in agreement with Professor Michael Bronstein. **What We Offer** As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: • An excellent contributory pension scheme • 38 days annual leave (pro-rata for part-time jobs) • A comprehensive range of childcare services • Family leave schemes • Cycle loan scheme • Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs **Diversity** Committed to equality and valuing diversity. **Application Process** You will be required to upload an up-to-date CV and a supporting statement as part of your online application. Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered. While we recognise the value of AI tools in assisting with application preparation, submissions that are **clearly AI-generated without personalisation or insight** will be rejected. It's crucial that your application reflects your own experiences and understanding of the role. The closing date for applications is noon on 27th August 2025. Interviews are expected to be held in September.
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We are excited to offer this fixed-term Research Associate position at the University of Oxford, under the supervision of Professor Michael Bronstein. The Research Associate will be part of the international Project CETI. The successful candidate will be located in the Department of Computer Science. Reporting to Professor Michael Bronstein, the post holder will be responsible for conducting novel research in the field of machine learning applied to deciphering the communication system of sperm whales. The post holder will collaborate with other partners of Project CETI (MIT, Harvard, UC Berkeley) and will have opportunities to participate in field work in Dominica. Project CETI is an international initiative to understand the communication of sperm whales using advances in ML. The project has an interdisciplinary scientific board including marine biologists, artificial intelligence researchers, roboticists, theoretical computer scientists, and linguists. This post is based at the Department of Computer Science and on-site working is required. Remote working can be possible in agreement with Professor Michael Bronstein. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: • An excellent contributory pension scheme • 38 days annual leave (pro-rata for part-time jobs) • A comprehensive range of childcare services • Family leave schemes • Cycle loan scheme • Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs Diversity Committed to equality and valuing diversity. Application Process You will be required to upload an up-to-date CV and a supporting statement as part of your online application. Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered. While we recognise the value of AI tools in assisting with application preparation, submissions that are clearly AI-generated without personalisation or insight will be rejected. It's crucial that your application reflects your own experiences and understanding of the role. The closing date for applications is noon on 27th August 2025. Interviews are expected to be held in September.
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Description of Research Associate on Non-human communication and animal linguistics
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Grade 07RS: £38,674-£46,913 per annum inclusive of Oxford University weighting Potential to under fill at grade 06RS: £34,982-£40,855 per annum
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Job Description _________________________________________________________________________ Summary Job title Research Associate on Non-human communication and animal linguistics Division Mathematical, Physical, and Life Sciences (MPLS) Department Computer Science Location Wolfson Building, Parks Road, Oxford Grade 07RS: £38,674-£46,913 per annum inclusive of Oxford University weighting Grade and salary Potential to under fill at grade 06RS: £34,982-£40,855 per annum inclusive of Oxford University weighting Hours Full time (37.5 hours per week) (part time can be considered) Contract type Fixed-term contract for 2 years end date not later than 31 December 2027 Reporting to Professor Michael Bronstein Vacancy reference 180803 Research topic Non-human communication and animal linguistics Principal Investigator Professor Michael Bronstein Project web site https://www.projectceti.org/ Funding partner The funds supporting this research project are provided by CETI The role We are excited to offer this fixed-term Research Associate position at the University of Oxford, under the supervision of Professor Michael Bronstein. The Research Associate will be part of the international Project CETI. The successful candidate will be located in the Department of Computer Science. Reporting to Professor Michael Bronstein, the post holder will be responsible for conducting novel research in the field of machine learning applied to deciphering the communication system of sperm whales. The post holder will collaborate with other partners of Project CETI (MIT, Harvard, UC Berkeley) and will have opportunities to participate in field work in Dominica. Project CETI is an international initiative to understand the communication of sperm whales using advances in ML. The project has an interdisciplinary scientific board including marine biologists, artificial intelligence researchers, roboticists, theoretical computer scientists, and linguists. Flexible working The candidate is expected to work in the department at Oxford. Remote work and visits to collaborating institutions will be upon agreement. Responsibilities          Develop research questions within a specific context, conduct individual research in the area of machine learning and artificial intelligence for non-human species communication, 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 findings by presenting papers at international conferences and workshops. Agree clear task objectives, organise, and delegate work to other members of the team. 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 in Oxford and elsewhere. Assist in the supervision of post-graduate students working on related projects. Carry out any other duties that are within the scope, spirit and purpose of the job as requested by their line manager or the Principal Investigator. The post-holder may also have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students. Selection criteria Essential selection criteria  Hold a relevant PhD (or be close to completion*) in related discipline, together with relevant experience     Experience in the area of linguistics and NLP Experience in the area of machine learning Excellent software engineering skills Publication record in leading international conferences and journals, 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 selection criteria   Experience in the area of animal communication and linguistics Industrial experience *the following supporting evidence is required:    EITHER a copy of your PhD/ DPhil award certificate; OR an academic reference confirming the qualification has been awarded; OR an academic ref confirming that you’ve submitted your thesis, if you have not yet completed 2 Pre-employment screening Standard checks If you are offered the post, the offer will be subject to standard pre-employment checks. You will be asked to provide: proof of your right-to-work in the UK; proof of your identity; and (if we haven’t done so already) we will contact the referees you have nominated. If you have previously worked for the University we will also verify key information such as your dates of employment and reason for leaving your previous role with the department/unit where you worked. You will also be asked to complete a health declaration so that you can tell us about any health conditions or disabilities for which you may need us to make appropriate adjustments. Please read the candidate notes on the University’s pre-employment screening procedures at: https://www.jobs.ox.ac.uk/pre-employment-checks 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 and we rank first in the UK for university spin-outs, and in recent years we have spun out 15-20 new companies every year. 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 is consistently recognised as the internationally leading centre of research and teaching across a broad spectrum of computer science. We are proud of our history as one of the longestestablished computer science departments in the country, as we continue to provide first-rate undergraduate and postgraduate teaching to some of the world’s brightest minds. Our world-class research is conducted across our research themes, which span the broad spectrum of computer science, ranging from foundational discoveries to interdisciplinary work with significant real-world impact. A significant majority of our staff are active in externally sponsored research, with both government and industrial funding. Our 2021 Research Excellence Framework submission saw 81% of our research activity ranked as worldleading (4*), with the rest ranked as internationally excellent (3*). We have had 19 ERC Fellowships in the last decade (including 7 Advanced) and we have 6 Fellows of the Royal Society, 4 Turing/Turing AI Fellows, a Fellow of the Royal Academy of Engineering and a Fellow of the Institute of Electrical and Electronics Engineers. We enjoy close links with other Oxford University departments (Mathematics, Engineering, Physics, Statistics and Life sciences) and work collaboratively with Oxford research groups and institutes (including the Oxford Internet Institute and the Oxford e-Research Centre). At present, the department has 71 faculty members and 98 researchers housed across multiple sites within the University’s South Parks Road Science Area and the neighbouring area. Through a programme of continuous improvement, the department is committed to 3 promoting and nurturing a diverse, inclusive and equal culture, with a particular focus on growth in gender equality (from our students to our staff). The department holds over £75m of external funding of which £58m is research. Research in the department is currently managed in ten themes:           Algorithms & Complexity Theory, led by Professor Leslie Ann Goldberg, 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, led by Professor Michael Wooldridge, focuses on theoretical foundations of AI, multi-agent systems, deep learning, reinforcement learning ,and computational linguistics; Automated Verification, led by Professor Marta Kwiatkowska, investigates theory and practice of formal verification and correct-by-construction synthesis for software and hardware systems; Computational Biology & Health Informatics, led by Professor Blanca Rodriquez, is concerned with computational approaches for biomedical research and healthcare innovation; Human-Centred Computing, led by Professor Nigel Shadbolt, includes human-computer interaction, social computing, and the worldwide web; Data and Knowledge & Action, led by Professor Ian Horrocks, includes databases, knowledge representation and reasoning; Programming Languages, led by Professor Nobuko Yoshida, includes functional programming, program analysis, and programming language foundations; Quantum, led by Professor Jonathan Barrett, focusses on quantum computing including quantum software, causality in quantum theory, quantum cryptography and foundations of quantum computing; Security, led by Professor Ivan Martinovic, specialises in cybersecurity, protocol analysis, systems security, trusted computing, and networking. Systems, led by Professor Niki Trigoni, focusses especially on cyber physical systems. We plan to substantially broaden our research in systems to complement our existing research areas. Our greatest asset is our people. We consistently attract the best staff and students, and thanks to them, we have been ranked as the world's leading university for Computer Sciences for seven years in a row by the Times Higher Education. We have held an Athena Swan Bronze Award since 2014, reflecting our longstanding commitment to promoting and supporting gender equality. Find out more information on our website https://www.cs.ox.ac.uk/ Mathematical, Physical, and Life Sciences Division 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 and the MPLS Division is home to our non-medical sciences, with 9 academic departments that span the full spectrum of the mathematical, computational, physical, engineering and life sciences, and undertake both fundamental research and cuttingedge applied work. For more information about the MPLS division, please visit: www.mpls.ox.ac.uk How to apply Applications are made through our online recruitment portal. Information about how to apply is available on our Jobs website https://www.jobs.ox.ac.uk/how-to-apply. Your application will be judged solely on the basis of how you demonstrate that you meet the selection criteria stated in the job description. As part of your application you will be asked to provide details of two referees and indicate whether we can contact them now. You will be asked to upload a CV and a supporting statement together with your research statement. The supporting statement must explain how you meet each of the selection criteria for the post using examples of 4 your skills and experience. This may include experience gained in employment, education, or during career breaks (such as time out to care for dependants) Please upload all documents as PDF files with your name and the document type in the filename. All applications must be received by midday UK time on the closing date stated in the online advertisement. If you currently work for the University please note that: - as part of the referencing process, we will contact your current department to confirm basic employment details including reason for leaving although employees may hold multiple part-time posts, they may not hold more than the equivalent of a full time post. If you are offered this post, and accepting it would take you over the equivalent of fulltime hours, you will be expected to resign from, or reduce hours in, your other posts(s) before starting work in the new post. 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 department(s). 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). If you need help Application FAQs, including technical troubleshooting advice is available at: https://staff.web.ox.ac.uk/recruitment-support-faqs Non-technical questions about this job should be addressed to the recruiting department directly hr@cs.ox.ac.uk To return to the online application at any stage, please go to: www.recruit.ox.ac.uk. Please note that you will receive an automated email from our online recruitment portal to confirm receipt of your application. Please check your spam/junk mail if you do not receive this email. Important information for candidates 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: https://compliance.admin.ox.ac.uk/job-applicant-privacypolicy. The University’s Policy on Data Protection is available at: https://compliance.admin.ox.ac.uk/dataprotection-policy. The University’s policy on retirement The University operates an Employer Justified Retirement Age (EJRA) for very senior research posts at grade RSIV/D35 and clinical equivalents E62 and E82 of 30 September before the 70th birthday. The justification for this is explained at: https://hr.admin.ox.ac.uk/the-ejra. For existing employees on these grades, any employment beyond the retirement age is subject to approval through the procedures: https://hr.admin.ox.ac.uk/the-ejra. There is no normal or fixed age at which staff in posts at other grades 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. 5 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. 6 Benefits of working at the University Employee benefits University employees enjoy 38 days’ paid holiday, generous pension schemes, flexible working options, travel discounts including salary sacrifice schemes for bicycles and electric cars and other discounts. Staff can access a huge range of personal and professional development opportunities. See https://hr.admin.ox.ac.uk/staff-benefits Employee Assistance Programme As part of our wellbeing offering staff get free access to a confidential employee assistance programme, available 24/7 for 365 days a year. Find out more at https://staff.admin.ox.ac.uk/thriving-at-oxford University Club and sports facilities Membership of the University Club is free for University staff. It offers 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 https://www.sport.ox.ac.uk/. Information for staff new to Oxford If you are relocating to Oxfordshire from overseas or elsewhere in the UK, the University's Welcome Service includes practical information about settling in the area, including advice on relocation, accommodation, and local schools. See https://welcome.ox.ac.uk/ There is also a visa loan scheme to cover the costs of UK visa applications for staff and their dependants. See https://staffimmigration.admin.ox.ac.uk/visa-loan-scheme Family-friendly benefits We are a family-friendly employer with one of the most generous family leave schemes in the Higher Education sector (see https://hr.web.ox.ac.uk/family-leave). Our Childcare Services team provides guidance and support on childcare provision, and offers a range of high-quality childcare options at affordable prices for staff. In addition to 5 University nurseries, we partner with a number of local providers to offer in excess of 450 full time nursery places to our staff. Eligible parents are able to pay for childcare through salary sacrifice, further reducing costs. See https://childcare.admin.ox.ac.uk/. Supporting disability and health-related issues (inc menopause) We are committed to supporting members of staff with disabilities or long-term health conditions, including those experiencing negative effects of menopause. Information about the University’s Staff Disability Advisor, is at https://edu.admin.ox.ac.uk/disability-support. For information about how we support those going through menopause see https://hr.admin.ox.ac.uk/menopause-guidance Staff networks The University has a number of staff networks including for research staff, BME staff, LGBT+ staff, disabled staff network and those going through menopause. Find out more at https://edu.admin.ox.ac.uk/networks The University of Oxford Newcomers' Club The University of Oxford Newcomers' Club is run by volunteers that aims to assist the partners of new staff settle into Oxford, and provides them with an opportunity to meet people and make connections in the local area. See www.newcomers.ox.ac.uk. Research staff The Researcher Hub supports all researchers on fixed-term contracts. They aim to help you settle in comfortably, make connections, grow as a person, extend your research expertise and approach your next career step with confidence. Find out more https://www.ox.ac.uk/research/support-researchers/researcher-hub Oxford’s Research Staff Society is a collective voice for our researchers. They also organise social and professional networking activities for researchers. Find out more https://www.ox.ac.uk/research/supportresearchers/connecting-other-researchers/oxford-research-staff-society 7
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