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The Oxford Internet Institute – founded in 2001 - is a multidisciplinary research and teaching department of the University of Oxford, dedicated to the social science of the Internet.

 

We have an exciting opportunity based at the Oxford Internet Institute, University of Oxford for a part-time Research Assistant, fixed term for 2 years, starting immediately.

 

The successful candidate will work with Dr Scott A. Hale, the Oxford-based co-PI of the Digital Good Network, an interdisciplinary, social science-led research network centred on the urgent question of what a good digital society should look like and how we get there.

 

As part of the Digital Good Network, you will join a growing community of early career postdoctoral researchers who work across network projects. You'll have opportunities to get involved in wider network activities, including training, summer schools and funding application reviewing. You will be based at the Oxford Internet Institute in Oxford, UK but you may be able to agree a pattern of regular remote working within the UK with your line manager.

 

You will work closely with Dr Hale and collaborators focused on equitable access to quality information online. This project, in particular, seeks to understand the digital good people want when

using generative AI on private messaging apps such as WhatsApp and Telegram. 

 

You will be responsible for conducting surveys with people using AI chatbots on messaging apps, leading qualitative interviews, and prototyping and evaluating new approaches to AI chatbots on messaging apps.

 

You will have a Bachelor’s degree with qualitative experience conducting academic research and performing qualitative analysis and surveys. You will also have enough Python experience to be able to run and tweak open-source code. More advanced Python skills and experience with LLMs is desirable but not essential.

 

If you would like to discuss this role, please contact Dr Scott A Hale via scott.hale@oii.ox.ac.uk including “[RA]” at the start of the subject line. Further details are found in the Job Description provided. 

 

You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of three referees as part of your online application.

 

Only applications received before noon BST on 11 September 2024 can be considered.

 

Committed to equality and valuing diversity
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Hale, the Oxford-based co- PI of the Digital Good Network, an interdisciplinary, social science-led research network centred on the urgent question of what a good digital society should look like and how we get there. As part of the Digital Good Network, you will join a growing community of early career postdoctoral researchers who work across network projects. You'll have opportunities to get involved in wider network activities, including training, summer schools and funding application reviewing. You will be based at the Oxford Internet Institute in Oxford, UK but you may be able to agree a pattern of regular remote working within the UK with your line manager. You will work closely with Dr Hale and collaborators focused on equitable access to quality information online. This project, in particular, seeks to understand the digital good people want when using generative AI on private messaging apps such as WhatsApp and Telegram. You will be responsible for conducting surveys with people using AI chatbots on messaging apps, leading qualitative interviews, and prototyping and evaluating new approaches to AI chatbots on messaging apps. You will have a Bachelor’s degree with qualitative experience conducting academic research and performing qualitative analysis and surveys. You will also have enough Python experience to be able to run and tweak open-source code. More advanced Python skills and experience with LLMs is desirable but not essential. If you would like to discuss this role, please contact Dr Scott A Hale via scott.hale@oii.ox.ac.uk including “[RA]” at the start of the subject line. Further details are found in the Job Description provided. You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of three referees as part of your online application. Only applications received before noon BST on 11 September 2024 can be considered. **Committed to equality and valuing diversity** """ . _:Nd72704f163b14b099358dac226d759f7 "1 St Giles'" . . . . . "CZ"^^ . . . . . "3C09"^^ . . "371" . . "department" . _:Nd2f9718f113e4d688abd1b732870e660 "Wellington Square" . "sous-Organization de"@fr . . . . "occupies" . "homepage" . _:Nd72704f163b14b099358dac226d759f7 "OX1 3JS" . . . . . . "subOrganization of"@en . . . . . . "Estates identifier" . . . . "Source"@en . . . . "1 St Giles'" . "Voice"@en . . . "page" . . . . . """Job Description _________________________________________________________________________ Summary Job title Research Assistant Division Social Sciences Department Oxford Internet Institute Location 1 St Giles Oxford OX1 3JS Grade and salary Grade O6S: £32,332-£38,205 per annum with an Oxford University Weighting of £1,500 per year (pro rata) to be applied with effect from 1 August 2024 Hours Part time – 18.5 hours per week/0.5FTE Contract type Fixed-term for 2 years Reporting to Dr Scott Hale Vacancy reference 175044 Additional information This vacancy will not meet the Home Office requirements for a Certificate of Sponsorship application. Research topic Digital Good Network Principal Investigator / supervisor Dr Scott Hale Project web site https://digitalgood.net Funding partner The funds supporting this research project are provided by ESRC (PDF) Social Rewards and Social Networks in the Human Brain (researchgate.net) Related publications Captivating algorithms: Recommender systems as traps - Nick Seaver, 2019 (sagepub.com) The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values - ACL Anthology [2309.08573] Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models (arxiv.org) The role Reporting to Dr Scott A. Hale, the Oxford-based co-PI of the Digital Good Network, an interdisciplinary, social science-led research network centred on the urgent question of what a good digital society should look like and how we get there. The selected Research Assistant will join Dr Hale’s research team focused on equitable access to quality information online. This project, in particular, seeks to understand the digital good people want when using generative AI on private messaging apps such as WhatsApp and Telegram. Information is increasingly mediated by AI and messaging apps—especially in Global Majority countries—where harmful content thrives. In Brazil, WhatsApp use is incentivized over the open web as it is installed on 99% of smartphones and is free (zero-rated) while general internet access costs money. Messaging apps dominate communications. Globally more than 100 billion messages are exchanged every day on WhatsApp, which is only one of several communication platforms. Commercial AI on messaging apps is poised to follow the harmful patterns of social media, where content is stripped of context and algorithms manipulate our attention, dramatically altering how we spend time, money and connect with others. Our literature review shows much AI is fine-tuned by small, non-representative groups of individuals. When more individuals participate, it is often unknowingly when their data is harvested from social media sites. The result is inequitable technologies that cater to a small wealthy subset of the global population. The research assistant (RA) hired in this call will conduct surveys with people using AI chatbots on messaging apps, lead qualitative interviews, and prototype and evaluate new approaches to AI chatbots on messaging apps. Responsibilities • Manage own research and administrative activities, within guidelines provided by senior colleagues • Contribute to the design of research materials such as surveys and interview guides • Evaluate AI chatbot prototypes in consultation with project leadership. This will involve identifying existing prototypes that are either open-source or available from project partners, running these prototypes, and evaluating their performance. • Coordinate with civil society partners to conduct surveys and interviews and jointly analyse data. • Contribute to wider project planning, including ideas for new research projects • Select, follow, and adapt specialist methodologies to confirm or refute theories, and identify suitable alternatives where information or research material is restricted • Gather, analyse, and present qualitative and/or quantitative data from a variety of sources • Contribute to research publications, book chapters and reviews • Represent the research group at external meetings/seminars and contribute to discussions and share research findings with colleagues in partner institutions, and research groups • Engage in the wider Digital Good Network where appropriate. For example, contributing to events and attending network meetings Selection criteria Essential 1. Hold a Bachelor's degree together with some relevant experience 2. Qualitative research experience such as survey design, document analysis, and qualitative interviews. 3. Ability to manage own research and administrative activities 4. Excellent communication skills, including the ability to write text that can be published, present data at conferences, and represent the research group at meetings 5. Entry-level Python skills to be able to run and tweak open-source code Desirable 1. Experience using Large Language Models for data analysis, knowledge graph creation, tool calling, and other tasks. 2. Advanced Python skills and/or NLP experience 3. Working toward a doctorate in a specialist discipline 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. The Oxford Internet Institute (OII) The Oxford Internet Institute – founded in 2001 - is a multidisciplinary research and teaching department of the University of Oxford, dedicated to the social science of the Internet. Digital connections are now embedded in almost every aspect of our daily lives, and research on individual and collective behaviour online is crucial to understanding our social, economic, and political world. Research: We have unprecedented access to a huge volume of rich social data, and are developing new theories, concepts and methods to analyse it. Teaching: Our Masters and doctoral programmes bring students from all over the world, to work with our faculty at the cutting edge of their fields. Policy: We provide the empirical data and conceptual analysis that is so needed to design policy solutions to societal problems. Our academic faculty and graduate students are drawn from many different disciplines: we believe this combined approach is essential to tackle society’s ‘big questions’. Together, we aim to positively shape the development of our digital world for the public good. The OII aims to operate at the cutting edge in both quantitative and qualitative methodologies that cut across disciplines and topics. The core of our activity is to develop rigorous peer-reviewed research and disseminate the outputs in high-quality journals, while ensuring that research helps inform and shape policy and practice. Our research focuses on areas critical to the public interest and has already delivered significant impact. Our faculty were among the first to draw the world’s attention to “fake news” and defined the concept of “big data”. They have undertaken ground-breaking research into technology and wellbeing using real- time industry data and persuaded major global firms to adopt a new methods and practices. And OII researchers have developed the first global ratings system for firms operating in the gig economy and had a significant role in influencing the online harms debate in the UK. Our four teaching programmes graduate around 80 students a year across our two MSc programmes in addition to around five doctoral students. Many of our talented alumni go on to perform important roles and achieve significant accomplishments in the world of policymaking, technology development, civil society and academia. In 2025, the OII is expected to take up residence in the new Schwarzman Centre for the Humanities, moving from our current location across three sites on St Giles. For more information about the Oxford Internet Institute please visit https://www.oii.ox.ac.uk/. Social Sciences Division The Oxford Internet Institute is a department within the Social Sciences Division, one of four academic Divisions in the University, each with considerable devolved budgetary and financial authority, and responsibility for providing a broad strategic focus across its constituent disciplines. The Social Sciences Division represents the largest grouping of social sciences in the UK. It is home to outstanding departments and to the internationally ranked Law Faculty; all are committed to research to develop a greater understanding of all aspects of society, from the impact of political, legal and economic systems on social and economic welfare to human rights and security. That research is disseminated through innovative graduate programmes and enhances undergraduate courses. For more information please visit http://www.socsci.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. The supporting statement must explain how you meet each of 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) 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. 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 Ornella Sciuto, OII HR Manager, via Ornella.sciuto, via HR@oii.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-privacy-policy. The University’s Policy on Data Protection is available at: https://compliance.admin.ox.ac.uk/data-protection-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. 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 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 benefits. Employee Assistance Programme As part of our wellbeing offering staff get free access to Health Assured, a confidential employee assistance programme, available 24/7 for 365 days a year. Find out more at Health Assured. 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 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 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. 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 childcare. We also subscribe to the Work+Family Space, a service that provides practical advice and support for employees who have caring responsibilities for dependants of all types. See My Family Care. 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. 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