University of Göttingen

Location Other Salary From £53040 per annum inclusive of London Weighting Post Type Full Time Post Type Permanent Closing Date Thursday 25 June 2026 Interview Date To be confirmed Reference 074S2025-R2 University of East London We’re the University of East London (UEL) founded in 1898 and proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future. But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo. About the School / Service  IT Services is a centralised resource working collaboratively with the University community to transform UEL's digital world in line with the University’s Vision 2028 strategic plan. Engaging in ground-breaking initiatives delivered within a dynamically developing cloud environment, IT Services work closely with staff, students, partners and other key collaborators to identify technological improvements to our learning and working environments. We implement, develop and provide support for systems and services within the university’s IT Service Portfolio. Every member of staff will embrace the University’s values, ensuring their behaviour reflects the ethos of the University, one committed to building a learning community founded on equality of opportunity and celebrating the rich diversity of our student and staff populations. About the Job We're looking for a methodical individual who is passionate about technology. You'll assist in the architecture for all service integrations throughout the organisation to ensure that services are integrated in the most secure, reliable, standardised and optimised manner. As Integration & Database Specialist, your role will be To assist in the design for integration and database projects, ensuring that new services are provisioned according to departmental standards To create, maintain and support any integration used by the organisation To manage service capacity, to monitor services on a regular basis ensuring that capacity is managed proactively To architect and maintain diagrams and documentation for all databases and service integrations, to provide senior management monthly reports in relation to these technologies About You We're looking for a hardworking and methodical individual to help design, development, monitor, and maintain data flows across UEL's extensive ecosystem of over 70 systems and services. You'll actively contribute to technical initiatives, ensuring the delivery of a high-performing, resilient service that aligns with industry standards and best practice frameworks. You'll be expected to promote a culture of continuous improvement within the team and the wider department, driving the implementation of key ITIL initiatives. A proactive approach to ensuring the security of database and integration technologies is essential, including the design and execution of vulnerability assessments and penetration testing to safeguard systems.  Building strong working relationships with key stakeholders across the University will be crucial, ensuring that systems remain aligned with evolving business requirements and continue to meet the University's operational needs effectively. Benefits Package At UEL, we believe that a great role is about more than just a salary. It’s about the complete package, including our outstanding work environment and inclusive culture. We offer a genuinely competitive salary, dependent on experience (DOE), and a range of excellent benefits. You can explore our full benefits package here: https://uel.ac.uk/benefits-professional-services-positions Equal Opportunities As an inclusive, equal-opportunities employer, our Stonewall membership and Athena Swan awards reflect our ongoing dedication to Equality, Diversity and Inclusion and we’re committed to closing the" diversity pay gap". We’re proud of the progress we’ve made and honest that there’s more to do. We’re determined to keep moving forward so everyone at UEL can thrive. We're also a disability confident employer and value all applications. Please let us know if you require any reasonable accommodations throughout the recruitment process. So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and committed to success, we want you to apply today! Please note that this advert may close earlier than the stated deadline if we receive a high volume of applications. We encourage you to submit your application as soon as possible. Further Details Job Description & Person Specification To contact the recruitment team please phone +44 20 8223 3000 x 4600 or e-mail jobs@uel.ac.uk CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.

Description The Shubeita laboratory in the program of Physics, New York University Abu Dhabi, seeks to recruit a post-doctoral research associate to work on unravelling principles that drive cellular organization. The successful applicant will lead research projects to study the interplay between active cytoskeletal transport, cytoskeletal organization, and the physical driving forces of macromolecular crowding. Research will take place within a multidisciplinary group of postdoctoral and predoctoral researchers trained in physics, biology, and chemistry with whom the successful candidate will collaborate closely. Applicants must have a PhD in physics or a related field. Excellent analytical skills are required. Prior experience in the experimental techniques used in the lab such as optical tweezers and quantitative imaging is advantageous but not required. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a one-page summary of research accomplishments and interests, a transcript, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email: shubeitalab.positions@gmail.com. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Role type: Full Time, Fixed Term (15 Months)Faculty: Faculty of scienceSchool: School of Mathematics and StatisticsSalary: Level A: $87,266 - $118,416 p.a. plus 17% superCutting edge AI optimisation research within ARC Training Centre OPTIMA / Strong industry collaboration and real world impact / Collegial, multidisciplinary team at Melbourne ConnectJoin OPTIMA to shape next-generation AI optimisation tools, publish at the highest level, and build industry partnerships.Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunity You will drive exploratory research at the intersection of AI and optimisation within ARC Training Centre OPTIMA. You will integrate AI tools into optimisation software, collaborate with industry, and co-supervise talented Masters and PhD students. You will gain mentoring, publishing and networking opportunities in a highly collaborative, multidisciplinary team at Melbourne Connect. What you will deliver:Advance cutting edge research on AI methods for model-based and black-box optimisation aligned with OPTIMA priorities.Develop, test and maintain open-source optimisation tools, integrating AI methods, instance space analysis and MiniZinc where appropriate.Publish high quality journal and conference papers, and present research at seminars, conferences and industry engagements.Co-supervise and mentor honours, Masters and PhD students, supporting timely thesis completion and impactful research outputs.Build collaborations with industry partners and OPTIMA colleagues, contributing to funding proposals, workshops and centre governance activities.You may be a great fit if you:Hold or approach completion of a PhD in applied mathematics, statistics, computer science, engineering or related discipline.Possess strong knowledge of AI tools, including machine learning methods and generative AI platforms, applied to optimisation.Demonstrate research excellence in optimisation or related fields, evidenced by quality publications relative to opportunity.Offer expertise in one or more areas such as operations research, constraint programming, evolutionary computation or machine learning.Show experience supervising or mentoring research students and collaborating effectively within multidisciplinary teams or industry projects.Exhibit potential to contribute to competitive grant applications and to engage productively with external partners and stakeholders.For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:Build future financial security with 17% superannuationSupportive flexible work arrangements underpinned by our commitment to inclusion and well-beingCareer development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn LearningProgressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leaveSalary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre CompanyHealth and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - School of Mathematics and Statistics You will join OPTIMA, an ARC Industrial Transformation Training Centre uniting researchers and industry to tackle complex optimisation challenges. Based in the School of Mathematics and Statistics within the Faculty of Science, you will collaborate with leading experts across mathematics, computer science, engineering and industry. Working from Melbourne Connect, the University's innovation precinct, you will benefit from outstanding facilities, strong mentoring, and a vibrant cohort of postdoctoral fellows and students committed to impactful, collaborative and inclusive research. For more on OPTIMA, visit: www.optima.org.au Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials:Visit "apply with us" to learn more about the process, including tips and FAQs.You must have current valid work rights for Australia. Visa sponsorship is not available for this role.A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.Please upload your resume and a cover letter outlining your interest and experience as part of the application process.Please upload your responses to the Selection Criteria, found in the Position Description.Want to know more?For queries related to this specific position or for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.auFor recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').Apply today, and join a community that's shaping the future. Applications close: Sunday 28 June 2026 11:55 PM; Melbourne time zone.Position Description:JR-013584 OPTIMA Postdoctoral Research Fellow, AI in Optimisation_PD.pdfJR-013584 OPTIMA Postdoctoral Research Fellow, AI in Optimisation_PD.docx