University of Bristol

Develop scalable single-cell genomics and massively parallel screening pipelines for plant synbio parts discovery, construct evaluation, and plant characterisation Full-time appointment on a fixed term basis until June 2028. Base salary range: Level A, $83,499 – $112,371 p.a. plus 17% superannuation. About the area The Plant Synbio Innovation Centre (PSIC) is based within the School of Molecular Sciences at UWA. As the WA node of Plant SynBio Australia under Bioplatforms Australia and the NCRIS program, PSIC will serve as a hub for cutting-edge research capabilities in plant synthetic biology, and agricultural biotechnology. The facility houses state-of-the-art molecular biology infrastructure and operates in collaboration with national PSBA nodes at ANU, La Trobe University, and Adelaide University. As the WA node, the PSIC is responsible for discovering, developing, and delivering plant synthetic biology componentry, technologies, datasets, and high throughput testing capabilities. PSIC’s activities span high-resolution plant cell atlas generation, regulatory network and genomic ‘parts’ discovery, development of high-throughput upstream screening pipelines to rapidly assess Synbio constructs and components, and implementation of molecular tools for both fundamental research and applied crop-engineering programs. This position will be based in the Bayliss Building on UWA’s Crawley campus, working closely with research, industry, and government partners to develop and deliver cutting-edge plant synbio technologies and services. About the opportunity Lead plant cell atlas generation, regulatory element discovery, engineered plant characterisation, and high-throughput screening of synthetic-biology constructs. Develop, optimise, and implement workflows for single-cell regulatory genomics assays, and high-throughput construct activity screening pipelines. Support collaborative projects, engage with external users, and establish scalable, reproducible methods and datasets that can be applied across the PSBA network. About you PhD in molecular biology, genomics, synthetic biology, computational biology, or a closely related field, with demonstrated research experience relevant to single-cell profiling, regulatory genomics analysis, or high-throughput screening. Hands-on experience with experimental workflows such as single-cell or single-nucleus sequencing (snRNA-seq, snATAC-seq), protoplast-based transient assays, or high-throughput reporter/construct screening systems. Competence in computational analysis of large-scale genomic datasets, including proficiency in relevant programming or scripting languages and familiarity with standard workflows for single cell RNA-seq, ATAC-seq, or similar data types. Demonstrated ability to develop, optimise and troubleshoot experimental and computational methods, and to document workflows clearly and reproducibly. Evidence of independent research capability, including contribution to peer-reviewed publications and experience planning and executing research projects. Note: A current National Police Clearance Certificate and Finance Check will be required by the successful applicant. Position description:  PD [Postdoctoral Research Associate (PSIC)] [522162].pdf To learn more about this opportunity, please contact Ryan Lister at ryan.lister@uwa.edu.au How to apply Please apply online via the Apply Now button and address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria. You may submit a statement describing any personal circumstances relevant to your application. This can include academic/professional interruptions or achievements relative to opportunity. Closing date: 11:55 PM AWST on Tuesday, 20 January 2026 This position is open to international applicants.  Benefits Flexible working options. Generous paid leave including parental leave. Up to 17% employer paid superannuation. Salary packaging available. Incremental progression based on 12 months continuous service. Discounted UWA course fees. Discounted health insurance. Employee Assistance Program. About the University The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university. Learn more about us. Our commitment to inclusion and diversity UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability. If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process. If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at people@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.

POSITION OVERVIEW School: School of Advanced Technology Department: Department of Communications and Networking Position: Faculty [Open Rank]  Location: Suzhou, China Contract Type: Fixed-term, renewable. 3rd contract is open-ended ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has over 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. XJTLU is entering a new and exciting phase of its development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is currently opening a new Entrepreneurial Education site in Taicang, part of wider Suzhou, where the Entrepreneur College (Taicang) is located. The Taicang site will be a pioneer of, and educational model for, the future campus in addressing challenges arising from the 4th Industrial Revolution. Other new initiatives include new working partnerships with Xi’an Jiaotong University, the continued development of the four new Academies, and exploration of further potential locations to develop the SE model With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn ABOUT SCHOOL OF ADVANCED TECHNOLOGY The School of Advanced Technology has five departments (intelligent Science, Computing, Mechatronics and Robotics, Electrical and Electronics Engineering and Communications and networking). As a research and practice led school our faculty and staff are committed to providing our students with a challenging and stimulating environment, as well as unlocking their full potential. Upon graduation, students will become highly sought-after candidates with strong academic knowledge as well as extensive transferable skills in communication, teamwork and project management. Areas of expertise in the Department of Communications and Networking: Wireless communications, Optical communications, RF engineering, Sensor networks and IoT, Computer system security, Mobile Computing, Cloud Computing, Edge Computing, Social Network Programming and Analysis, Intelligent Transportation. RESPONSIBILITIES Applicants will have extensive teaching experience, have published high quality papers in their area of expertise, have been successful in obtaining research grants, and have substantial experience in the supervision of research students. The successful candidate, in addition to teaching typically two modules/courses per year (i.e. one per semester), will provide leadership in curriculum development and enhancing our research profile at the international level. They are expected to assume administrative responsibilities based on their experience. PERSONAL ATTRIBUTES Self-motivated and being able to motivate others; Strong leadership and interpersonal skills; Strong team player; Proactive and flexible but with good respect for deadlines; Able to work in an environment where diversity and inclusiveness. ESSENTIAL QUALIFICATIONS/EXPERIENCES A PhD in EEE or cCS or a closely aligned area and PG Cert HE or equivalent; Ideally few years of teaching/research experience at a university or equivalent after completion of PhD degree; PhD supervision capacity; Strong publications record in an area of expertise; Evidence of success in obtaining research grants; Fluency in English. Successful applicants to more senior professorial ranks are expected to also show: A significant record of high-quality academic publications, A number of external research grants awards, Experience in PhD supervision. Desirable Qualifications/Experience Professional memberships such as BCS, IET, ACM, IEEE and HEA; Strong knowledge / experience in international higher education. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas.  Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. RESEARCH FUNDING SUPPORT The university provides every new faculty members with Research Development Fund to encourage them to initiate research projects, and Research Engagement Fund provided to support their continuous research activities.  The university will also support all faculty members to apply for national, province and city level programs. These programs aim to support excellent scientists, both Chinese and non-Chinese-citizen, to work and carry out research in China.  Some of the programs are listed in the table below. Successful applications are based on the applicant’s educational background, academic/research field, research achievements, working experience, etc. The university will provide full support on the applications.  Talent/Research Program - Fund Outstanding Youth Science Foundation Project (Overseas) RMB 1-3 Million Innovation Leading Talent up to RMB 2 Million Outstanding  Leading Talent of International Discipline 50% of Annual Package Young Leading Talent of International Discipline 50% of Annual Package COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS 1. Allowance: XJTLU provide various month/annual/one-off allowances as  Housing allowance Travel allowance Relocation allowance Etc. 2. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) 3. Paid holidays:  Statutory Holidays (13 days) Annual Leave (34 days, including University closing days) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental Leave Etc. 4. Working visa and residence permit in China:  XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Applications must be submitted in a single pdf file that includes 3 parts in the order of: A cover letter  A current CV, including date of birth, country of citizenship, all degree records, publication and founding record, etc. Contact Details for Three References For specific enquiries relating to the position, please email Mengyi.Wang@xjtlu.edu.cn. 

Company Description Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here Position The Alan Turing Institute’s Defence & National Security Grand Challenge focuses on protecting our country, its people and the places they inhabit, by delivering strategic advantage in AI for the UK and its allies. The Turing is uniquely placed to lead this endeavour, working closely with government partners to strengthen UK defence and security; through world-class research groups advancing the state-of-the-art in AI, dedicated engineering teams translating research into leading-edge deployment-ready capabilities, and policy and governance experts who ensure AI-based capabilities are developed and deployed responsibly. Our independent research, driven by societal impact and public good, is invaluable for our partners, directly tackling the most difficult and impactful real-world challenges they face. In this interdisciplinary, independent and trusted capacity, the Turing also acts as an authoritative convener for diverse expertise in key areas across academia, industry and government The AiTASHA project The Turing has recently been awarded a £1m EPSRC research grant to develop AI methods that can support and enhance intelligence analysis for national security and defence. For this project, the Turing will lead an interdisciplinary consortium that also includes Warwick, Southampton, Dundee and Cardiff Universities, working closely with UK government defence and national security partners. The project, entitled “AI Intelligence Triage & Acquisition Support for Human-centred Analysis” (AiTASHA), aims to improve the speed and confidence of intelligence analysts’ assessments by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets, to identify indicators and warnings of hostile or malicious activities. Analysts must make these assessments rapidly in a highly pressured and resource-constrained environment, where they face difficult choices of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale and complexity of intelligence datasets, as well as the threat posed to UK safety, are growing, and existing AI support tools primarily focus on the identification and visualisation of patterns within datasets, without due consideration of human understanding or context, defensibility, and representation of uncertainty. The goal of this ambitious project is to make fundamental advances that will together underpin and enable a future explainable, defensible AI system that can complement, rather than replace, the work of intelligence analysts; recommending which existing data should be prioritised for human review and which potential new data should be prioritised for acquisition. To address this challenge, we will advance the state-of-the-art across multiple component disciplines; in interpretable multimodal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. ROLE PURPOSE We are seeking a highly skilled Senior Research Associate to conduct internationally leading research in machine learning, with applications to intelligence analysis. This role will involve investigating and developing methods that will allow deep learning models to identify subsets of data with the highest potential for reducing uncertainty of model outputs, leveraging and building on existing methods in ML explainability, interpretability, and uncertainty quantification. The research will focus predominantly on vision, language and multimodal models, and on integration of these models with cutting-edge graph-based statistical methods that have been previously developed by members of the project team to support national security use. This role will be part of the Defence and National Security (D&NS) Grand Challenge and will report directly to the PI for the AiTASHA project. Within the Turing, this role will sit primarily within the Defence Artificial Intelligence Research (DARe) centre, which encompasses diverse AI research spanning future sensing, space systems, human-machine teaming, synthetic environments, and edge AI, but there will also be opportunities to engage with researchers from across the D&NS Grand Challenge, including from policy and engineering teams. The successful candidate will also join a vibrant and interdisciplinary team of researchers in the AiTASHA consortium and will have frequent opportunities to engage with internal stakeholders and external government partners throughout the delivery of the project. During the project it is expected that they will work as part of a small tight-knit cohort of Early Career Researchers spanning the AiTASHA consortium Universities. DUTIES AND AREAS OF RESPONSIBILITY Play a leading role in undertaking high-quality research, actively contributing to, and steering the broader research aims of the Defence and National Security Grand Challenge. Provide technical leadership for research projects, ensuring successful outcomes, including that research outcomes meet our government partners’ requirements and can be deployed in the real world. Contribute to, and lead where required, interdisciplinary research teams spanning multiple partner organisations. Contribute to software development including planning, execution and package release and management. Be a point of contact, supporting the PI in engaging with stakeholders regarding projects and deputising for the PI in meetings where necessary. Take the lead on writing up findings as they emerge, producing and developing reports and publications in peer- reviewed journals, in collaboration with the research team. Present, disseminate and explain our work at meetings/events and contribute to both the internal and external visibility of the Institute. Take responsibility for driving collaboration with academic experts and broader research partners from across the Turing, and the wider Turing/project community. Supervise the work of early-career researchers in the team and provide guidance as required with line management of direct reports if required. Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website. Successful candidates will be subject to a Dstl research workers form check at the offer stage. Requirements A PhD (or equivalent commensurate professional experience and/or qualifications) in a field with significant use of both computer programming and advanced statistical or numerical methods, e.g., machine learning, AI, computer science, mathematics, statistics, physics, engineering. Practical experience developing and applying Machine Learning to real world problems OR  strong theoretical knowledge and academic experience with Machine Learning and adjacent topics. Significant experience in developing and applying computer vision and/or large language models, OR significant experience in machine learning interpretability, explainability, and/or uncertainty quantification. Experience developing software in a scientific computing context, ideally using Python/Pytorch, including the use of established libraries used in data science and artificial intelligence research. An understanding of the importance of good practices for producing reliable software and reproducible analyses, such as version control, issue tracking, automated testing, package management and literate analysis tools such as Jupyter. Experience conducting and publishing research to the standard required by top-tier peer-reviewed journals/conferences. Experience in scoping and investigating independent research questions within a given overarching theme and leading subsequent research projects to conclusion. Ability to mentor and evaluate the work of others (formal line management experience is not essential, but such applicants should be able to show significant evidence of informal mentorship). Must be eligible for SC clearance and be willing to undergo the clearance process once in post, if not already held. Other information APPLICATION PROCEDURE If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages) telling us: Your past experience innovating with code and/or data to solve real-world challenging problems. Why you would like to become part of the Turing’s Defence and Security Programme. How your skillset would complement the activities of the AiTASHA project. Please note, if these details are not provided, we will be unable to progress with your application. For questions about the role and the recruiting process please get in touch with us at recruitment@turing.ac.uk. If you would like to apply using a different format please email recruitment@turing.ac.uk. CLOSING DATE FOR APPLICATIONS: Sunday 11th January 2026 at 23:59 (London UK, GMT) Interviews will take place in late January after the shortlisting process has been completed. The successful candidate will need to be in post by or close to April 2026 TERMS AND CONDITIONS This full-time post is offered on a fixed term basis for 2 years from the start date. The annual salary is £56,840 - £58,482. We also offer excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide | The Alan Turing Institute As these roles require eligibility for Security Check (SC) clearance, you are required to include the following information as part of your cover letter: Your current nationality Your nationality at birth Other nationality (include dual nationality if applicable) Confirmation that you have been residing in the UK for the past 5 years (if you haven’t, please provide details of when and where you resided and the reason) Please note, if these details are not provided, we will be unable to progress with your application. The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. EQUALITY, DIVERSITY, AND INCLUSION The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at adjustments@turing.ac.uk to find out how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from HR@turing.ac.uk.