University of Leeds

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.  We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role An opportunity has arisen within the Front of House team for a proactive, self-motivated and highly organised individual to join our team at Surrey Sports Park. The post holder will need to have the ability to think independently, problem solve and possesses excellent communication skills. There will be a wide range of external and internal enquiries to deal with, therefore comprehensive knowledge of all areas of Surrey Sports Park will be integral to performing this role successfully, as well as a desire to deliver excellent customer care and service. In addition, the post holder will be able to demonstrate excellent organisational and administration skills, along with adaptability, openness to change and personal motivation in all aspects of their work. This role is offered on a part time basis (around 20 hours per week).  Surrey Sports Park is at the heart of sport and physical activity in Surrey, and our mission is to deliver the best possible sport, health and wellbeing experience to our University of Surrey students and to the wider SSP community. We provide strategic added value to the University by delivering an outstanding student experience through social and competitive sport and providing an excellent environment for wellness and fitness for Surrey staff and students, and our community impact is significant both culturally and physically. The team is passionate and high performing, and the business model requires us to deliver a self-sustaining, well managed and customer service focused business. How to apply If you would like to discuss this role further please contact Mollie Kimpton on m.kimpton@surrey.ac.uk. Please apply online on the University website with a CV and supporting statement. The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note CVs cannot be accepted without a completed application form. Further details Job Description

The Department of Physics at Durham University is one of the leading UK Physics departments with an outstanding reputation for excellence in teaching, research and employability of our students. The Department is committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognized by our Juno Champion and Athena SWAN Silver awards. We recognise and value the benefits of diversity throughout our staff and students. Applications are invited for a Research Assistant to pursue experimental research in the field of atomic, molecular and optical (AMO) physics within the Durham Quantum Light and Matter group. The position is funded by UK Research and Innovation (UKRI) and the post holder will work directly with Dr. Alex Guttridge, Prof. Simon Cornish and their research teams. The overarching goal of the research is to synthesise designer quantum systems particle by particle. This research project will use optical tweezers arrays to trap and manipulate arrays of ultracold RbCs molecules. The use of molecules is motivated by their rich internal structure, combined with the existence of controllable long-range dipole-dipole interactions, long trap lifetimes and strong coupling to electric and microwave fields. This position is part of a UK-Canada research collaboration on "Quantum-enhanced sensing with atoms and molecules", investigating the application of molecular arrays for precision measurements and quantum sensing. The successful applicant will demonstrate a strong foundational understanding of the principles behind ultracold gases. While training will be provided, prior exposure to techniques such as magneto-optical traps, the production of quantum degenerate gases, or optical tweezers is highly advantageous. They will be expected to develop initiative and creativity, along with the appropriate skills and knowledge, to achieve the research goals. The post holders are also expected to work effectively both independently and as part of a small research team. It is expected that the post holders will enhance the international contacts of the group through the presentation of work at international conferences and exchange visits to collaborators connected with the project. This post is fixed term for 36 months and the funding is available from two sources. The first from UK Research and Innovation (UKRI) for the project "Quantum-enhanced sensing with atoms and molecules" with funding available for a fixed period of 1 year. The second funding source is from the Department of Physics which will fund this role for a further fixed period of 2 years resulting in 3 years of time-limited funding. The post-holder is employed to work on research which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols. Successful applicants will, ideally, be in post by March 2026.

Description We invite applications for a postdoctoral position in database systems with a strong theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by both real-world needs and formal foundations. They will work at the intersection of systems and algorithms, in collaboration with faculty, students, and external partners. Key Responsibilities Lead independent and collaborative research on topics in database systems, including constrained query evaluation, optimization, and reasoning under uncertainty. Design and analyze novel algorithms or theoretical models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions to existing open-source engines. Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT, etc.) and participate in the wider research community. Mentor students and contribute to a vibrant research culture at NYUAD. Participate in cross-disciplinary projects at CITIES, connecting data systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues. Solid background in one or more of the following: Query processing or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping skills. Strong analytical and communication skills; ability to work both independently and collaboratively. Desirable: Familiarity with modern in-process or embedded query engines (e.g., DuckDB, SQLite, etc.) Experience working with probabilistic databases, provenance, or uncertain data Exposure to decision-making, multi-objective optimization, or declarative problem modeling Prior involvement in open-source or reproducible systems research Interest in interdisciplinary applications of data systems (e.g., urban analytics, scientific workflows) For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, degree transcript, statement of research interests, and at least two letters of reference, all in PDF format. If you have any questions, please email Azza Abouzied - aa175@nyu.edu 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