Pompeu Fabra University

Description The Center for Quantum and Topological Systems (CQTS) at New York University (NYU) Abu Dhabi, UAE invites applications for a Post-Doctoral Associate position, in the area of Quantum Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects of quantum experiments and quantum algorithms for computational geometry problems. Prior expertise in these areas is highly encouraged. The selected candidate will work on cutting edge technologies in an excellent research environment, with a potential to work with a Quantum Computer through our collaboration partners. The Center possesses the unique possibility to investigate cutting-edge interdisciplinary questions within the theoretical and fundamental aspects of Mathematics, Physics, and Computer Science and Engineering, from various points of view and different abstraction levels. The selected candidate will also have great opportunities to work on interdisciplinary research problems with other postdocs of the center. We also expect successful applicants to do cutting-edge interdisciplinary research and work in synergy towards improving the collaborations and connections among the different areas. Ability to work and connect to more than one topic and having interdisciplinary perspective is an advantage, but disciplinary applications will be considered as well having a focus and in depth expertise in a particular topic mentioned above. Applicants should meet the following qualifi cations and possess relevant expertise: A PhD in Computer Science or a closely related field, with specialization in Quantum computing and Graph theory In this role, you will be responsible for conducting research on graph theoretic approaches to design quantum photonic experiments. Additionally, the position involves exploring quantum algorithms for computational geometry problems. The appointment will be for a period of two years, and extensions to longer terms are possible upon review. The terms of employment for these positions include a very competitive salary with additional attractive benefi ts, including generous housing allowance, medical insurance with access to world class facilities, annual home leave allowance, and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax, the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling, computing, publications, etc. and will have access to excellent world-class research facilities. The preferred starting date is Fall 2025, but earlier dates are also possible based on the excellence of the candidate and the processing steps. Review of applications will start on July 10, 2024, and will continue until the position is filled. Applicants should submit a cover letter, curriculum vitae, publication list, a brief statement of research interests, a transcript and three letters of recommendation. Applicants are strongly encouraged to outline (in the cover letter and/or research statement) how they plan to contribute to create interdisciplinary connections within the research areas of the center. Questions regarding specifi cs for this position may be directed to Prof. Hisham Sati hsati@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/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

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.

About you  The Department of War Studies has a large and diverse faculty, with varied theoretical and methodological expertise in areas including, but not limited to, conflict resolution, contemporary and historical warfare, gender, international relations, migration and borders, security studies, strategic studies, technology and violence. The Department is located within the School of Security Studies and the Faculty of Social Science & Public Policy. About the role  The Department of War Studies seeks to appoint a Lecturer in International Relations Education to contribute to the Department’s capacity for teaching and scholarship in international relations. The post is on the Academic Education Pathway (AEP) and focuses on the delivery of education, education-related scholarship, and leadership in education. The successful candidate will be responsible for delivering high-quality, innovative undergraduate and postgraduate teaching in the Department of War Studies, especially its BA and MA programmes in International Relations. We welcome candidates who are familiar with a broad range of theoretical approaches to international relations, conflict and security. In particular, we are looking for candidates who have expertise in contemporary global transformations and who can support our teaching in international relations and critical approaches to conflict and security. The successful candidate will work with students from a wide range of backgrounds and will be committed to enabling student success.  The postholder will also undertake and publish high-quality scholarship and play a role in the institutional and intellectual development of War Studies and undertake Departmental, School, Faculty and University administrative duties as required.  The Department is located within the School of Security Studies and the Faculty of Social Science & Public Policy. Together, we are committed to embedding good diversity and inclusion practice into all of our activities. We are committed to encouraging further growth in our diversity, and we look forward to welcoming applicants of all abilities and backgrounds, whom we are able to support with our flexible varied working practices. Overall, King’s values the diversity of its staff and student body and recognises that this is both a strength and a defining feature of King’s as a London university in a global context. NB: The list of essential and desirable criteria will be used for short-listing, so please provide supporting evidence for each criterion in your application materials.  Appointments can only be made at Lecturer level. It will not be possible to make appointments at more senior grades, or to exceed the salary advertised. This is a full time fixed-term post until September 2027 About You To be successful in this role, we are looking for candidates to have the following skills and experience:  Essential criteria PhD awarded in International Relations Ability to deliver innovative and effective teaching to undergraduate and/or postgraduate students in the areas of international relations and critical approaches to conflict and security  An emerging track record of publications in relevant peer-reviewed journals Ability to work collaboratively as part of a team Excellent communication and presentation skills and proficiency in academic writing. Evidence of contribution to community building within a higher education setting For an appointment at Grade 7, candidates must have a PhD thesis published or in press as a monograph AND at least 2 papers published/in press in peer-reviewed; OR at least 5 research papers published/in press in high-quality peer reviewed journals. For an appointment at Grade 7, candidates must also show proven ability in and experience of academic leadership  Desirable criteria Expertise in contemporary global transformations  Experience supervising UG/PGT dissertations Fellowship of the Higher Education Academy (HEA) or on-track to receive fellowship in the next 1-2 years A track record of wider administrative contribution to the delivery of departmental activities Emerging track record in dissemination of teaching innovations and engagement with external bodies Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document provides information about what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £45,031 - £52,514 per annum including London Weighting Allowance Job ID: 133587 Close Date: 07-Jan-2026 Contact Person: Professor Claudia Aradau Contact Details: Claudia.aradau@kcl.ac.uk