Total 13 science rd research job vacancies in oxfordshire ox4 4xr

The Department of Computer Science is looking to employ a Postdoctoral Researcher to work within an interdisciplinary team on securing convergent ultra-large scale infrastructures (SCULI). The SCULI project is a research collaboration between University of Oxford, University of Bristol and the University of Lancaster that will be working closely with stakeholders and organisations from industry and the critical national infrastructure sectors.

The project is investigating how to secure emerging ultra-large scale digital infrastructures which are seeing convergence and connectivity at unprecedented scale. This is true for both current critical national infrastructures and emerging future systems, e.g., smart cities, intelligent transportation, high-value manufacturing and Industry 4.0. Cybersecurity of such ultra-large scale infrastructures faces unprecedented complexity. Diverse legacy and non-legacy software and hardware compose on-the-fly to deliver services to millions of users with varying requirements and unpredictable actions. This complexity is compounded by intricate supply-chains and the need to deliver resilient operations in the presence of untrusted, partially trusted or compromised elements.

The successful candidate will be required to work primarily under the direction of Professor Ivan Flechais, with guidance from other senior academics and will be based in the Oxford team focused on the following research objectives:

• Predictability at ultra-large scale: How to elicit, specify and validate security assurances for service composition in the presence of uncertainty, dynamism and human behaviour (including addressing direct and indirect dependencies and resulting systemic risks)?

It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion in computer science or information systems.
In addition, the successful candidate will be expected to collaborate with researchers working across the SCULI project, and cybersecurity professionals from business and industry.

The closing date for applications is 12 noon on 2nd December 2024. Interviews are expected to be held in December.

We are a Stonewall Top 100 Employer, Living Wage, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.

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

Demonstrating a commitment to provide equality of opportunity, we would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.

NUFFIELD DEPARTMENT OF ORTHOPAEDICS, RHEUMATOLOGY AND MUSCULOSKELETAL SCIENCES (NDORMS)

Research Grants Manager (Maternity Leave Cover) (175635) This post may be offered as a secondment opportunity.

Grade 7: Salary in the range of £37,524 - £45,763 per annum.
Although this job is advertised at grade 7, we are willing to offer grade 8 to a candidate with significant experience and skills in managing a similar portfolio size and leading the administration of the Biomedical Research Centre.

We are seeking to recruit a highly experienced and organised Research Grants Manager to join our busy Research Grants team at the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), located at the Botnar Research Centre, Oxford.

This exciting position combines line management responsibilities for a small team alongside directly managing a portfolio of research groups. The postholder will be required to act as a financial guide, providing professional and flexible financial management to research groups, to support the achievement of the department’s strategic objectives. The post provides a crucial role in the running of the Botnar Institute, liaising between Botnar academics, University Professional Services teams and external grant funders.

You will work closely with colleagues within the Institute, departmental colleagues and Research Accounts throughout the lifecycle of grants; ensuring all eligible costs have been added to each grant and confirming total spend to allow accurate reporting to the funder. You will provide timely, regular and accurate reports and detailed analysis on the research funding portfolio, and associated risks, to the Principal Investigators and senior management, so that they have a sound financial evidence base to assess how best to utilise their grant budgets. You will liaise with external sponsors, collaborating Universities and other University of Oxford Departments on grant award management.

You will be educated to a degree level or equivalent qualification. You will have a sound and in-depth knowledge of grant funders and post-award management together with ability to create, analyse and understand financial data. You will be a highly organised and accurate with ability to work well as a member of close-knit team and independently. Experience of using online grant application forms and working knowledge of X5, Oracle Financials and PeopleXD are desirable.

This is a full-time maternity leave cover appointment for 12 months. This post is available from 1 December 2024.

The closing date for this position is 12 noon on Friday 11 October 2024. You will be required to upload a CV and supporting statement as part of your online application.

To apply for this role and for further details, including the job description and selection criteria, please click on the link below:

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=175635

NUFFIELD DEPARTMENT OF ORTHOPAEDICS, RHEUMATOLOGY AND MUSCULOSKELETAL SCIENCES (NDORMS)

Postdoctoral Research Associate in Translational Biology (175149)

Grade 7: Salary in the range of £37,524-£45,763 per annum
We are seeking to appoint a highly qualified and dedicated Postdoctoral Research Associate in Translational Biology to join our research team at Oxford Translational Myeloma Centre which is based at Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford
As a Postdoctoral Research Associate in Translational Biology you will lead laboratory experiments and the computational analysis and interpretation of data with the goal of discovering biological pathways, patterns and genes that are responsible for the drivers of drug response or resistance in multiple myeloma. You will specifically interrogate multiple Myeloma cell lines and immune cells for studying the mechanism of action of epigenetic therapy in Multiple Myeloma. In partnership with industrial and academic collaborators you will analyse patient derived genomic, immune, pharmacokinetic and pharmacodynamic data to build hypothesis and test them in laboratory models. You will contribute ideas for new research projects, collaborate in the preparation of scientific reports and journal articles and act as a source of information and advice to other members of the group.

You will hold a PhD/DPhil (or near completion) in a biomedical discipline with direct relevance to molecular techniques and assays together with experience to undertake cell based analysis of drug activities. Ability to develop novel assays for testing compounds and their mechanisms based on genetics, OMICs and other assays is essential for success in this project. We are looking for a candidate who would be able to deliver high quality research outputs, as demonstrated by a strong publication record in high profile scientific journals. Familiarity with the existing literature and research in the field of Myeloma or cancer biology together with passion for problem-solving desirable but not essential. Experience in drug related research, strong publication track record and experience of presenting work at meetings and cross-disciplinary collaborative experience are desirable.

This is a full-time fixed-term initial appointment for 2 years.
The closing date for this position is 12 noon on 30 September 2023. You will be required to upload a CV and supporting statement as part of your online application.

To apply for this role and for further details, including the job description and selection criteria, please click on the link below:

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=175149

We have an exciting opportunity for a Postdoctoral Research Scientist to join our fantastic group of scientists here at the Division of Structural Biology, Nuffield Department of Medicine. You will be working in Professor Jones at the Division of Structural Biology, working closely to gain insight into molecular mechanism for cell surface signalling assemblies. Research projects are typically highly interdisciplinary, aiming to integrate in vitro biophysical measurements, high resolution x-ray crystallographic analyses, electron cryo microscopy (cryoEM), and cell-based studies (functional assays, advanced light microscopy and cryoET).

As the Postdoctoral Research Scientist, you will be responsible for managing your own academic research activities. This involves small scale project management to co-ordinate multiple aspects of work and meet deadlines. You will be tasked with testing hypotheses and analysing scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate. You will act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.

It is essential that you hold a PhD/DPhil (or close to completion) in a relevant subject (e.g. Structural Biology, Biophysics, Biochemistry, Cell biology) along with experience in X-ray crystallography and/or cryoEM/cryoET, preferably of glycoproteins and membrane proteins. You will have experience in production of samples for structure/function studies and in biophysical and cell-based assays. You will also be able to manage the day-to-day running of a research project including assisting the work of junior researchers. Finally, you will have good communication skills, including the ability to present work at international symposia and to non-specialist audiences.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract until 30 September 2025 and is funded by the European Commission.

Only applications received before 12 midday on Wednesday 21 August 2024 will be considered. Please quote 174784 on all correspondence.

We are seeking to appoint a Research Assistant with computational skills and the biological understanding of cancer-causing pathogens to work on computational analysis at the Ludwig Institute for Cancer Research, University of Oxford

In this role your duties will include provide statistical analysis plans for studies and handle day-to-day planning to keep the work on track and efficient and the performance of integrative analysis of single-cell RNA and ATAC seq data. To support the research endeavours effectively, you will develop or customize analytical tools and resources in collaboration with other team members and attend to scientific seminars, meetings and training as appropriate.

It is essential that you hold a degree in a life science or computational subject, together with demonstrable experience and ability in biostatistics or bioinformatics. You will also have previous experience in a laboratory research setting, and use of techniques including but not limited to PCR, qPCR, gel electrophoresis, western blots, and cell culture. The ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule is also essential in this role.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract for 12 months and is funded by the Ludwig.

Only applications received before 12 midday on Monday 12 August 2024 will be considered. Please quote 172112 on all correspondence.

We have an exciting opportunity for a Senior Research Scientist in Immunopeptidomics to join our research programme based at the Oxford Centre for Immuno-Oncology in the Nuffield Department of Medicine.

The research programme is dedicated to unravelling the molecular architecture of immune responses in tumour tissues. In this role, your primary objective will involve profiling the immunopeptidomes of individual patients using LC-MS/MS techniques and to map the tumour-antigen landscape across large patient cohorts.

The key responsibilities of this role include managing the LC-MS facility to ensure operational instrumentation and support for specialized Immunopeptidomics applications. You will, lead the generation of proteomic and Immunopeptidomics datasets from cells and primary mammalian tissue samples using LC-MS/MS platforms, providing high-quality data to academic partners and industrial sponsors, Additionally, you will manage your own academic research and administrative activities co-ordinating multiple aspects of work to meet deadlines.

It is essential that you hold a relevant PhD/DPhil in Biochemistry, Immunology or a related subject with post-qualification research experience. You will have hands-on experience with LC-MS/MS instruments (Thermo and/or Bruker), together with experience applying a range of proteomics methods to biomedical research questions, including proficiency in DDA, DIA, PRM methods and analysis (e.g. Peaks, MS fragger, MaxQuant, and Skyline). You will have excellent communication and interactive skills and a strong collaborative attitude. Finally, you will have a proven ability to contribute to multiple projects simultaneously with learning agility and scientific rigor.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract until 30 April 2026 and is funded by the Department.

Only applications received before 12 midday on Tuesday 27 August 2024 will be considered. Interviews to be held during the 2nd week of September. Please quote 174050 on all correspondence.

We have an exciting opportunity to recruit a Research Assistant in Vaccine Development to support the fantastic work of the Bioprocess and Analytical Development group here at the Jenner Institute, Nuffield Department of Medicine.

This role provides an opportunity to work with a team of scientists developing vaccines (adenovirus vectored, recombinant protein, VLP-based, etc) and advancing knowledge on a range of infections, including rabies, COVID-19 and Epstein-Barr virus (EBV).

As Research Assistant, you will develop your skills in experimental design, planning and analysis, while making a meaningful contribution to global health through developing new vaccines. You will be responsible for producing high quality data using a range of modern laboratory techniques, such as cell culture (mammalian and microbial), chromatographic protein purification, ELISA, digital PCR, DNA cloning, flow cytometry and viral culture. You will also be responsible for developing, following, and adapting experimental protocols for a range of experimental techniques, such as DNA cloning, mammalian and microbial cell culture, qPCR, ELISA, flow cytometry, viral culture, chromatographic protein purification and filtration processes (TFF, depth filtration, etc).

To be successful in this role, you will hold a BSc degree in medical science or a related discipline along with practical experience of biology, medical science or similar laboratory work. You will have knowledge of vaccinology, infectious disease, and/or molecular biology and the ability to work within established research programmes, with the potential to contribute ideas for new and improved experiments. You will have excellent communication skills, including the ability to maintain clear laboratory records, write for publication, and represent the group at meetings and conferences as well as good interpersonal skills and ability to work effectively with others.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and
experience.

This position is offered full time on a fixed term contract for 2 years and is funded by the Department and SpyBiotech.

Only applications received before 12 midday on Thursday 18 July 2024 will be considered. Please quote 173115 on all correspondence.

We are hiring a Senior Research Software Engineer based at the Department of Computer Science, under the supervision of Professor Andrew Markham. This is a cross-disciplinary project between the Departments of Computer Science and Biology and the successful post-holder will be working on the NERC funded Morphocam project. This project seeks to develop and release machine learning/AI tools to enable precise, metrics measurements to be made on camera trap images of wild animals.

As a Senior Research Sofware Engineer (Machine Learning), you will research, adapt and exploit existing deep learning models and frameworks to build an efficient and user-friendly processing pipeline. You will need extensive experience in machine learning frameworks (e.g. pytorch/tensorflow) and ML-ops for scaling systems into production. You will need to be able to communicate well and work easily with domain users (e.g. field biologists) to understand their needs and problems. You will be independent and self-driven, with a clear approach to project management and delivery. You will also have a strong publication record with a strong ambition towards to top-tier publications and dataset releases.

You will hold a relevant Ph.D/D.Phil and possess experience in software engineering development. Research experience in computer vision and deep learning or similar is required.

Applicants will be required to upload a supporting statement, setting out how you meet the selection criteria.

The closing date for applications is 12 noon on 15 July 2024. Interviews are expected to be held in July.

We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.

Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html , as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example shared parental leave.
Demonstrating a commitment to provide equality of opportunity. We would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.

About the role
Oxford University Museum of Natural History is seeking a Museum Research Fellow to undertake independent collections-focused research in palaeobiology, in an area that is aligned with the research interests of the Museum and the palaeobiology community in Oxford (https://palaeobiology.web.ox.ac.uk).

The Museum Research Fellow will undertake original research, enhance the collections through field collection and/or documentation and digitisation, disseminate the research findings through conference presentations and publication, contribute to the public engagement work of the Museum, and undertake some University teaching.

The post will be supported by a research allowance of £7,500 per annum, and it is hoped that a non-stipendiary association with a college will supplement this research fellowship.

The Research Fellow will be assigned a mentor to support and enhance career development during their fellowship.

This is a full time position working 37.5 hours per week. The post is fixed term for three years.

About You
The successful candidate will have an excellent research and publication record for their career stage, and an ambitious, independent, and viable research plan.

Applicants must have completed a PhD by the time the fellowship is due to commence.

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
- A comprehensive range of childcare services
- Family leave schemes
- Cycle loan scheme
- Discounted bus travel and Season Ticket travel loans
More information is available at https://hr.admin.ox.ac.uk/staff-benefits

Diversity
Our staff and students come from all over the world, and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diverse groups and champions, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example, shared parental leave.


How to apply
You will be required to upload your CV, a supporting statement, and a research project proposal as part of your online application. Your supporting statement should list each of the essential and desirable selection criteria, as listed in the job description, and explain how you meet each one. CVs submitted on their own will not be considered. Further information about the research project proposal is provided in the ‘How to apply’ section of the job description.

We aim to provide a supportive working environment and are happy to discuss training and professional development opportunities. The Chair of this recruitment panel will be Professor Paul Smith, the Director of the Museum, who can be contacted with enquiries relating to the role (paul.smith@oum.ox.ac.uk). General queries about the recruitment and application process should be directed to the Recruitment team within our Human Resources department (recruitment@bodleian.ox.ac.uk).

Only applications received online by 12.00 midday (BST) on Friday 5 July 2024 can be considered.

We are hiring a full-time research associate to work on the BELINDYSYS research project, based at the Department of Computer Science. Under the supervision of Professor James Worrell, you will have responsibility for carrying out research on algorithmic questions on linear dynamical systems and extensions thereof, such as holonomic sequences and piecewise affine maps. This work draws on connections with a number of areas of computer science and mathematics, including verification, control theory, logic, and number theory. We will support your career development, through supporting your scientific work, and also through attendance to conferences, student supervision and supporting applications for personal fellowships, as appropriate.

You will hold a PhD in Computer Science, Mathematics or related discipline. You will possess either knowledge or a strong interest in in one or more of the following areas: linear recurrences, holonomic sequences, matrix semigroups, and algebraic geometry. Experience of actively developing research outputs such as publications is required.

Applicants will be required to upload a supporting statement, setting out how you meet the selection criteria.

The closing date for applications is 12 noon on 10 June 2024. Interviews are expected to be held in June.

We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.

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

Demonstrating a commitment to provide equality of opportunity. We would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.

The NDM Grant Management Team are an ambitious and supportive group, delivering high quality, professional project support across NDM. We have an exciting opportunity a Research Grants Manager to work alongside researchers at the leading edge of science in the largest medical department at Oxford, the Nuffield Department of Medicine, offering an excellent opportunity for career progression in Research Administration.

You will be responsible for the overall research grant management process of an NDM project portfolio including proactively meeting with any grant holders and their business manager within the allocated portfolio, actively managing the administration that underpins collaborations with other institution both in the UK and overseas, and providing additional support as required. You will be representing NDM at meetings to understand the broader research funding landscape and liaise with external funders, as required, and maintain an up-to date knowledge of major funding bodies terms and conditions.

This position also includes delivering training to relevant Professional Services staff as requested, and support with the ongoing training of Senior Grants Officer, Grants Officer and Apprentices within the team. You will implement processes and procedures within your portfolio to ensure compliance with University policies, and provide cover for other Research Grant Managers as required.

It is essential that you are educated to degree level or equivalent together with related experience ideally in the higher education sector or research environment. You will have a working knowledge of the major funding bodies, and of current issues affecting the research funding sector. You will have demonstrable skills in effective people management and the ability to support, develop and motivate staff. Additionally, you will have excellent numeracy skills, high level of accuracy and attention to detail. Prior experience of Oracle Financials software or other financial software is desirable.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.
This position is offered full time on a permanent contract. Please note that the shortlisted candidates will be interviewed on Wednesday 15 May 2024.

Only applications received before 12 midday on Monday 6 May 2024 will be considered. Please quote 172314 on all correspondence.

An opportunity for a full-time Finance Assistant has arisen in the Department, reporting to the Computer Science Senior Finance Officer - GL. This post is primarily financial administration, ensuring financial transactions are recorded and processed accurately in line with financial controls.

We are seeking applicants with experience of working in a financial environment who have a good level of numerical accuracy, who are committed to achieving both individual and team goals through excellent team working and communication skills. Applicants should have the ability to work methodically, generating high volumes of accurate work with meticulous attention to detail. You will be educated to GCSE standard or equivalent, and be a competent user of Microsoft Excel. Previous experience of working in an accounting environment, within a higher education or research establishment and experience of the University’s Oracle financial system is desirable.

Applications for this vacancy are to be made online. You will be required to upload a supporting statement as part of your online application. The supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

The post is a full time permanent contract.

The closing date for applications is 12 noon on 22nd April 2024. Interviews are expected to be held in late April or early May.

We are a Stonewall Top 100 Employer, Living Wage, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.

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

Demonstrating a commitment to provide equality of opportunity. We would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.

PREVIOUS APPLICANTS NEED NOT APPLY

We have an exciting opportunity for a Senior Research Software Engineers to join the newly established Competency Centre for Cloud Computing and AI/ML, which is part of the University’s Digital Transformation. The aim of the Competency Centre is to provide a centralised expertise on the use of public cloud computing for research applications, particularly in the context of contemporary AI/ML approaches.

Working across the university you will provide centralised expertise working with researchers with diverse research questions who require access to cloud computing capabilities. This will require significant software engineering experience and also hands-on experience of using public cloud infrastructure at different scales. Many of the use-cases will require the implementation of AI/ML methods and you will work closely with the OxRSE team to identify opportunities and pull together innovative software solutions. You will also lead in the development and delivery of training courses and workshops to other researchers within the University.

To be successful in this role, you will hold a PhD/DPhil with a significant computational component, with post-qualification research experience or equivalent experience in a similar role. You will have a strong track record of the use of public cloud service providers (e.g. GCP, AWS, Azure, Oracle etc.), and have significant experience with one programming language used for research (e.g. Python, C++, C, Matlab, R, Java, Javascript, Fortran, Rust). It is important that you have excellent communication skills, including the ability to communicate with researchers, write for publication, present research proposals and results, and represent the group at meetings, and be able to work collaboratively and as part of a team.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time on a fixed term contract until 22 October 2025.

Only applications received before 12 midday on Wednesday 24 January 2024 will be considered.

Please quote 167373 on all correspondence.