Point University

Join Our Team as an Engineering Technician Faculty of Engineering and Physical Sciences Are you passionate about hands‑on engineering, supporting exciting research and helping students bring ideas to life? Do you enjoy working in dynamic laboratory environments where no two days are the same? If so, we would love to hear from you. We are looking for a proactive and skilled Engineering Laboratory Technician to support the safe, efficient and innovative operation of our department’s laboratories. You will play a vital role in preparing, maintaining and improving our teaching and research facilities, helping ensure that students, academics and researchers can carry out high‑quality experimental work. What you will do Support a wide range of engineering experiments using hydraulic, mechanical, electrical and electro‑mechanical equipment Prepare and assemble test specimens, rigs and laboratory setups for teaching and research Maintain, service and repair laboratory equipment to keep facilities running smoothly Demonstrate equipment and techniques to students and staff, helping others learn and succeed Monitor and support Health and Safety practices, including risk assessments and lab upkeep Assist with demonstrations at Open Days, Taster Days and outreach events Contribute to the development of innovative solutions and improvements within the labs What we are looking for Practical experience in laboratory, workshop or engineering environments Strong problem‑solving skills and the confidence to work independently An enthusiasm for supporting others and contributing to a positive learning environment A commitment to safe working practices and maintaining high standards A willingness to learn new skills and engage with a broad range of engineering disciplines Why join us You will work alongside a supportive team of experienced technicians in modern laboratories that underpin our teaching, research and industry collaborations. This role offers variety, professional growth and the chance to contribute to meaningful engineering projects that make a difference. If you are motivated, organised and excited by the idea of helping shape the next generation of engineers, we would be delighted to receive your application. The University is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities Further details Job Description

Description NYUAD HEP Phenomenology group invites applications to a post-doctoral associate position. Candidates with expertise in the following areas are encouraged to apply: Particle physics phenomenology related to neutrino physics, Higgs physics, BSM, cosmology and astroparticle physics. The successful candidate is expected to take a leading role in the research projects in particle physics phenomenology particular in relation to Higgs, neutrino and BSM physics, and help in supervising PhD students. The appointment would be for two years with the possibility of an additional year. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in theoretical high energy physics or related field. Applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Nicolás Bernal nicolas.bernal@nyu.edu. 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. 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.

About the University of Bristol: The University of Bristol’s Mumbai campus is an innovative extension of its prestigious UK counterpart, established to promote academic excellence, global collaboration, and impactful industry engagement in one of the world’s most dynamic financial hubs. The campus offers a truly international and cross-cultural academic environment, combining the University’s rigorous academic traditions with the fast-evolving Indian and South Asian business landscape. As part of a growing global network, the Mumbai campus serves as a hub for interdisciplinary learning, applied research, and thought leadership. Faculty members enjoy access to global partnerships, collaborative research opportunities, and the ability to contribute to high-impact academic programmes that prepare students to meet the challenges of an interconnected world. Role Overview We are seeking a highly motivated and accomplishedAssociate Professor in Data Science / Statistics to join our growing academic team at the University’s Mumbai Enterprise Campus (MEC), a flagship transnational education initiative of the University of Bristol set to open its doors in 2026, coinciding with the University’s 150th anniversary. The role will lead on curriculum and research development, mentor junior faculty, and strengthen the University’s academic reputation through teaching, innovation, high-impact research and external engagement. The role will report to the Mumbai Enterprise Campus Associate Dean and have dotted lines reporting to and collaborating with the Head of School of Mathematics in the Faculty of Science and Engineering (S&E), and other relevant University senior leaders. This senior-level position is ideal for candidates with a strong academic profile, proven research excellence, and leadership capabilities within higher education. Key Responsibilities Leadership, Culture, and Engagement Provide distinguished academic leadership and operational capacity in both teaching and research within mathematical statistics or data science fostering an environment of scholarly excellence. Represent the university at national and international academic and professional forums, enhancing its visibility and reputation. Establish and nurture strategic partnerships with industry, academic institutions, and government agencies to support research initiatives and enrich the learning environment. Contribute substantively to departmental governance, administration, and operational delivery in close collaboration with senior leadership. Develop, coordinate, and deliver advanced undergraduate and postgraduate courses in areas ranging from mathematical statistics and machine learning to coding and algorithmics. Mentor junior and early-career faculty members, actively participating in their professional development and performance evaluation processes. Work collaboratively with Professional Services partners to deliver delegated administrative and governance duties. Teaching Play a pivotal role in curriculum development and contextualisation, programme accreditation, programme enhancement and the maintenance of quality assurance standards within the university. Create a nurturing environment for excellence across the whole education offer. Promote innovative teaching strategies that improve student experience, transferable skills creation and employability prospects. Research Maintain a sustained record of high-quality outputs in excellent, peer-reviewed academic publications or in other recognised  discipline specific channels, actively contributing to the international discourse in mathematical statistics and data science. Initiate, lead, and secure funding for research projects with significant potential to contribute to scholarly knowledge and societal advancement. Provide support for other academic disciplines and interdisciplinary opportunities within the MEC. Ensure research strengths are matched and leveraged to develop teaching excellence and integrated in MEC programme offerings. Where applicable, supervise and mentor doctoral, postgraduate, and undergraduate research projects, ensuring the highest standards of academic rigor and integrity. Essential Criteria A completed PhD in mathematical statistics and data science. Significant academic experience, including substantial post-PhD teaching and research achievements Proven academic leadership experience in teaching (e.g., programme coordination, research leadership, or departmental roles). Demonstrated excellence in teaching, curriculum design, and academic mentorship. Strong publication record in highly ranked peer-reviewed international publications, or in recognised equivalent discipline-specific channels, and ability to contribute to the school’s strategic research ambition to address global/societal challenges of our time. Evidence of excellent organisational and administrative skills. Excellent interpersonal, communication, and collaborative leadership skills. Demonstrates a proactive approach to professional development. Strong programming expertise. Expertise is machine learning and data science. Desirable Criteria At least 10-12 years of academic experience post-PhD Track record of securing or leading externally funded research projects. Willingness and strong evidence to seek collaborations/engage with public, private and not-for-profit/charitable sectors. Experience supervising doctoral students A teaching qualification recognised by the UK Higher Education Academy or equivalent. For any concerns regarding your application, kindly reach out to us at careers@daskalos.com