. "2024-08-19T12:00:00+01:00"^^ . "CZ" . "Subject"@en . "Unit price specification"@en . "building" . . . . "1 St Giles'" . . . "false"^^ . "34 St Giles'" . . . . . _:Nb309550425b846a79d1a1b33c2a9ec50 "+44-1865-270708" . """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 to join the Researching Identity Networks Group (RING) at the Oxford Internet Institute, University of Oxford as a part of the ESRC-funded ANSWER grant. This is a fixed-term, variable hours role for up to 10 hours per week and a maximum of 375 hours. This position is available immediately for 10 months. It will involve a mix of both remote and on-site desk work in Oxford. You will be responsible for recruitment of participants in two studies (one focus group based, one interview based). You will also be part of a team who conducts the interviews, focus groups, and the online survey. You will also help with the organisation and planning of a project-end workshop. You will be expected to assist with interview coding, data management, and data analysis. Training and assistance will be provided for all data management. The purpose of this grant is to provide academic insight and technical advances on an existing software application “Network Canvas” (https://www.networkcanvas.com). Network Canvas has recently released a version that permits interviewing in a browser thereby opening up the potential for self-reported network research. This project is about understanding the methodological and usability challenges in shifting from interviews to self-reported data. Network Canvas is primarily funded by the National Institute of Health in the US and core application development is funded up to 2029. This position is a part of the ANSWER grant funded via ESRC’s Transforming Data call as a methodological supplement to the main grant . This position is ideal for candidates looking to build their academic CV, gain experience with empirical mixed-methods work, and learn about both social network analysis and interviewing. The research from this project will be oriented towards academic publications as well as public diffusion of world- class interviewing software, Network Canvas. In general, excellent organisational skills and experience with interviewing will be more important than computational or mathematical skills with social network analysis for this project. This position will provide opportunities to learn how to conduct and code interviews, to engage in academic writing, and to meet key stakeholders in social network analysis at our workshop. For more information including the selection criteria for this post, please see the job description provided. If you would like to discuss this role please contact Bernie Hogan on 01865 287198 or bernie.hogan@oii.ox.ac.uk. 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 two referees as part of your online application. Only applications received before noon on Monday 19th August can be considered. **Committed to equality and valuing diversity** """ . . "latitude" . . . . "Oxford Internet Institute" . . . . . . . . "Past vacancies at the University of Oxford" . "value" . . . . "HTML description of Variable Hours Research Assistant" . "2024-08-19T12:00:00+01:00"^^ . . . . . . _:N27a5d46f6fa844e28e56971d7d6b20d7 . . . "sede principale"@it . . . _:Nb309550425b846a79d1a1b33c2a9ec50 . "has currency (1..1)"@en . "WebLearn site" . "internet"^^ . . . "Oxford Internet Institute, 1 St Giles, Oxford" . "00000000"^^ . . "tiene sede principal en"@es . . . "a un site"@fr . . . """Job Description _________________________________________________________________________ Summary Job title Variable Hours Research Assistant Division Social Sciences Department Oxford Internet Institute Location 1 St Giles Oxford OX1 3JS Grade 6:7 £38,205 per annum pro rata (£19.59 per hour) Grade and salary with an Oxford University Weighting of £1,500 per year (pro rata) to be applied with effect from 1 August 2024 (due to be implemented in the September 2024 payroll and backdated to 1 August 2024) Further details of how these changes to pay will be applied will be shared with the successful candidate in due course. Hours Variable hours – up to 10 hours per week – 375 in total Contract type Fixed-term - 10 months or to 30 June 2025 (whichever is sooner) Reporting to Dr Bernie Hogan Vacancy reference 174419 Additional information Proof of Right To Work in the UK: This vacancy does NOT meet the Home Office requirements for a Certificate of Sponsorship application. Research topic Self-reported social network methodology Principal Investigator / supervisor Dr Bernie Hogan Project web site www.oii.ox.ac.uk/ Funding partner The funds supporting this research project are provided by the ESRC’s Transforming Data call Birkett, M., Melville, J., Janulis, P., Phillips, G., Contractor, N., & Hogan, B. (2022). Network Canvas: Key decisions in the design of an interviewer-assisted network data collection software suite. Social Networks, 69, 263–273. https://doi.org/10.1016/j.socnet.2022.01.006 Recent publications Hogan, B., Janulis, P., Philips, G.L. II, Melville, J., Mustanski, B., Contractor, N., Birkett, M. (2020). Assessing the stability of egocentric networks over time using the digital participant-aided sociogram tool Network Canvas. Network Science, 8(2), 204-222. https://doi.org/10.1017/nws.2019.27 The role A variable hours researcher role reporting to Prof Bernie Hogan on the ANSWER [Advancing Network Studies With Enhanced Reporting] project. The successful candidates will be involved in the recruitment, deployment, and analysis of focus groups and interviews to test social network methodologies. Responsibilities • Manage own research and administrative activities, within guidelines provided by senior colleagues • Adapt specialist methodologies to confirm or refute theories about social network analysis and self-reported data collection • Contribute to the design of research materials and making arrangements for data gathering via recruitment • Gather, analyse, and present qualitative and quantitative data from a series of focus groups and interviews. • Contribute to research publications, book chapters and reviews • Assist in planning a workshop to promote insights from this project. • Contribute to discussions and share research findings with colleagues in partner institutions, and research groups Selection criteria Essential 1. Hold an undergraduate degree, together with relevant experience in mixed methods data collection. 2. Working toward am MSc or Doctorate in a specialist discipline in the social sciences, public health, or related fields where network analysis could be a relevant methodology. 174419 BH VH G6 2 3. Ability to manage own research and administrative activities related to scheduling and contact of participants. 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. Experience of following and adapting methodologies in the social sciences Desirable 1. 2. 3. 4. Experience with social network analysis Familiarity with Network Canvas Proficiency with data analysis tools (Python or R) suitable for network data. Experience of contributing to research publications 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. 174419 BH VH G6 3 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 realtime 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. 174419 BH VH G6 4 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/ 174419 BH VH G6 5 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. 174419 BH VH G6 6 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. 174419 BH VH G6 7 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. Find out more at the 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 at Oxford Staff Society. 174419 BH VH G6 8 """^^ . . . "in dataset" . "OpenStreetMap feature identifier" . "34 St Giles'" . "174419"^^ . . . . "Social Sciences Division" . "false"^^ . . . "postal code"@en . . "street address"@en . . . "comment" . . "38205"^^ . . _:N27a5d46f6fa844e28e56971d7d6b20d7 "University of Oxford" . "logo" . . "University of Oxford" . . . . . . "email"@en . . "51.755493"^^ . . . . . . "preferred label"@en . . . "OxPoints"@en . . . _:N5c521e0ad00a4e2f9ed47e0e320cf441 "+44-1865-270000" . . . . "License"@en . . "OUCS code" . . . "Agent" . "depiction" . "Variable Hours Research Assistant" . . "longitude" . . . . . . "NTriples description of Variable Hours Research Assistant" . . . . . _:N27a5d46f6fa844e28e56971d7d6b20d7 "Oxford" . . . . "text/plain" . "text/n3" . 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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 to join the Researching Identity Networks Group (RING) at the Oxford Internet Institute, University of Oxford as a part of the ESRC-funded ANSWER grant.  

 

This is a fixed-term, variable hours role for up to 10 hours per week and a maximum of 375 hours. This position is available immediately for 10 months. It will involve a mix of both remote and on-site desk work in Oxford.  

 

You will be responsible for recruitment of participants in two studies (one focus group based, one interview based). You will also be part of a team who conducts the interviews, focus groups, and the online survey. You will also help with the organisation and planning of a project-end workshop.  

 

You will be expected to assist with interview coding, data management, and data analysis. Training and assistance will be provided for all data management.  

 

The purpose of this grant is to provide academic insight and technical advances on an existing software application “Network Canvas” (https://www.networkcanvas.com). Network Canvas has recently released a version that permits interviewing in a browser thereby opening up the potential for self-reported network research. This project is about understanding the methodological and usability challenges in shifting from interviews to self-reported data. Network Canvas is primarily funded by the National Institute of Health in the US and core application development is funded up to 2029. This position is a part of the ANSWER grant funded via ESRC’s Transforming Data call as a methodological supplement to the main grant

. 

This position is ideal for candidates looking to build their academic CV, gain experience with empirical mixed-methods work, and learn about both social network analysis and interviewing. The research from this project will be oriented towards academic publications as well as public diffusion of world-class interviewing software, Network Canvas.  

 

In general, excellent organisational skills and experience with interviewing will be more important than computational or mathematical skills with social network analysis for this project.  

 

This position will provide opportunities to learn how to conduct and code interviews, to engage in academic writing, and to meet key stakeholders in social network analysis at our workshop. 

 

For more information including the selection criteria for this post, please see the job description provided. 

 

If you would like to discuss this role please contact Bernie Hogan on 01865 287198 or bernie.hogan@oii.ox.ac.uk.  

 

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 two referees as part of your online application. 

 

Only applications received before noon on Monday 19th August can be considered. 

 

Committed to equality and valuing diversity
"""^^ . . . _:N9f88555d54c845b3b6ccdf562c8930e3 "Oxford" . . . _:N9f88555d54c845b3b6ccdf562c8930e3 "United Kingdom" . . . "based near" . . "image" . . "OII" . "GBP" . . "371" . _:N9f88555d54c845b3b6ccdf562c8930e3 . "es suborganización de"@es . "1 Saint Giles'" . "Title"@en . "has max currency value (1..1)"@en . _:N9f88555d54c845b3b6ccdf562c8930e3 "1 St Giles'" . . . "OII Recruitment" . . . "-1.258916"^^ . _:Nb89cd1b93f6f4a57916eb36b1d249c7a . "Estates identifier" . . . _:Nac3c88100d234ddcb5b55d86d79ffa7d .