Imperial College London
About Imperial College London
Basic information and contact details for Imperial College London
Imperial College London, a science-based institution based in the centre of the capital, is regarded as one of the UK’s leading institutions.
The college has around 15,000 students and 8,000 staff, with a focus on four main areas: science, engineering, medicine and business.
The institution has its roots in the vision of Prince Albert to make London’s South Kensington a centre for education, with colleges going alongside the nearby Natural History Museum, Victoria and Albert Museum and Science Museum.
Imperial was granted its charter in 1907, merging the Royal College of Science, the Royal School of Mines and the City & Guilds College.
The institution boasts 14 Nobel Prize winners, including Sir Alexander Fleming, the discoverer of penicillin.
Famous alumni include science fiction author H.G. Wells, Queen guitarist Brian May, former prime minister of India Rajiv Gandhi, former UK chief medical officer Sir Liam Donaldson, and former chief executive of Singapore Airlines Chew Choon Seng.
The college’s motto is Scientia imperii decus et tutamen, which translates as “Scientific knowledge, the crowning glory and the safeguard of the empire”.
Imperial’s most notable landmark is the Queen's Tower, a remainder of the Imperial Institute, built to mark Queen Victoria's Golden Jubilee in 1887.
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Key Student Statistics
A breakdown of student statistics at Imperial College London
- Student gender ratio
- 43 F : 57 M (1)
- International student percentage
- 60% (1)
- Students per staff
- 12.1 (1)
- Student total
- 21340 (1)
Based on data collected for the (1) World University Rankings 2026
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Performance Sport Science Coordinator
Liverpool John Moores University (LJMU)
United Kingdom, Liverpool
Liverpool John Moores University (LJMU)
United Kingdom, Liverpool
Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. Supporting the delivery of Strength and Conditioning (S&C) services to university athletes and other partners. To develop, manage and lead on the delivery of an effective strength & conditioning programme for the LJMU Performance Sport Programme. This will include designing, delivering and evaluating strength and conditioning sessions for the LJMU Performance Sport athletes based in Liverpool by developing, implementing and evaluating strength and conditioning programmes that reflect scientific principles as they relate to adaptation, periodisation, peaking, tapering, injury prevention, rehabilitation, recovery and athlete screening/assessment. The role will also include management of S&C practitioners that are responsible for S&C delivery to TASS scholars and externally contracted athletes. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.
Salary
£32,080 - £37,694 per annum
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9 Jul 2026
Assistant Associate Dean, Data Science & AI Discipline
RMIT University
Australia, Melbourne
RMIT University
Australia, Melbourne
Play a pivotal role in providing senior leadership for the Discipline's academic and research performance, strategy, and growth Fixed term (3 year) contract for Assistant Associate Dean underpinned by an ongoing Senior Lecturer/Associate Professor/Professor position Remuneration for Academic Level C ($146,897-169,387) or Academic Level D ($176,883 - $194,868) or Academic Level E ($227,847) About the Role The Assistant Associate Dean (AAD) is a key leadership role within the School of Computing Technologies, offering the opportunity to shape the direction and success of the Data Science & Artificial Intelligence (DSAI) Discipline. Working closely with the Associate Dean, DSAI, and the broader School leadership team, you will provide strategic and people leadership across the Discipline, supporting staff to excel in teaching, research and engagement. You will play an important role in representing the Discipline, fostering a collaborative and high-performing culture, and contributing to the School's ambitions for growth, innovation and impact across education and research. As an accomplished academic leader and recognised researcher in a DSAI-related field, you will bring a strong track record of research excellence, academic leadership and staff development. In this role, you will lead and grow research programs and teams, strengthen a vibrant and inclusive research culture, and build productive collaborations across RMIT and with external partners. You will also contribute meaningfully to teaching and learning, helping to deliver outstanding student outcomes in the discipline. With influence across both the Discipline and the School, you will help shape strategic priorities, contribute to academic governance and committee leadership, and advance the profile and performance of DSAI within RMIT and beyond. To be successful for this position, you will have: Proven academic leadership experience, with the ability to lead teams, build capability and deliver on strategic objectives. An established and respected research profile in a relevant field, with the capacity to lead and promote research excellence. A strong record of innovative teaching and curriculum contribution in a relevant discipline, supported by a sound understanding of contemporary learning and teaching practice. Strong understanding of relevant industry trends, priorities and the evolving higher education landscape. Strategic thinking capability, with the ability to translate organisational priorities into practical actions and outcomes. Highly developed interpersonal, communication, influencing and negotiation skills, with the ability to build strong relationships internally and externally. A collaborative and collegiate approach, with proven ability to work across teams, align stakeholders and achieve shared goals. Demonstrated ability to influence positive change, foster collaboration and promote excellence in teaching, research and academic performance. Qualifications Mandatory: A PhD in a relevant field (i.e., Data Science, AI or Computer Science), with experience, standing and achievements commensurate with appointment at Academic Level C, D or E at RMIT. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the School of Computing Technologies The School of Computing Technologies (SCT) is a globally connected and forward-looking school, recognised for world-class computing research and innovative education in information technology, data science and artificial intelligence. We are committed to shaping the future of technology through distinctive research, industry engagement, and a strong emphasis on diversity, interdisciplinarity and real-world impact. In the 2026 QS World University Rankings by Subject, RMIT was ranked 117 globally for Computer Science and Information Systems, placed in the 51-100 band for Data Science, and ranked 29 for Library and Information Management. The School offers programs across Computer Science, Software Engineering, Data Science, Artificial Intelligence, Cyber Security and Information Technology, and is one of Australia's largest and leading education providers in the field. SCT is a national leader in industry-connected learning across computing, data science and IT. Our undergraduate programs have been redesigned to provide a common foundation in programming, supported by an innovative Bootcamp2Studio model that combines immersive, challenge-based learning with strong industry relevance. This approach equips students with the practical skills, adaptability and confidence to make meaningful contributions in a rapidly evolving technology landscape. The School is led by the Dean, School of Computing Technologies, and has three disciplines: Cyber Security & Software Systems (CSSS) Data Science & Artificial Intelligence (DSAI) Interaction, Technology & Information (ITI) Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in: Information Interaction and Information Retrieval Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science and Machine Learning Recommendation and Big Data Analysis Cybersecurity Software Engineering Digital Health Computer Science Education Learn more: https://www.rmit.edu.au/about/schools-colleges/computing-technologies To apply, please submit your application via the 'Apply' link below, ensuring you include: CV Covering letter A separate document addressing the Key Selection Criteria for the Assistant Associate Dean, DSAI position For further information about this position, please refer to the Position Description hyperlinked below or contact Professor Jeffrey Chan via jeffrey.chan@rmit.edu.au. For questions about the recruitment process, please contact Jennifer Pham, Senior Talent Acquisition Advisor, via email at Jennifer.pham2@rmit.edu.au or Senior Talent Acquisition Advisor, Bianca Jenkins via email bianca.jenkins@rmit.edu.au. Please do not send your application to these email addresses. Position Description - Assistant Associate Dean, Data Science & AI Discipline (3-Year) Position Description - Professor (ongoing) Position Description - Associate Professor (ongoing) Position Description - Senior Lecturer (ongoing) Please note: if you are viewing this advert on an external site, click 'Apply' and you will be redirected to RMIT's Jobs website, where the Position Description is available at the bottom of the page. Due to recent system upgrades, Position Description links may not function correctly on LinkedIn advertisements. Applications close on Sunday 12 July 2026 at 11.59pm. RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. In line with RMIT University's commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes.All applicants will be required to complete a gender based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence.Preferred candidates will also be required to undertake relevant pre employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT's safety obligations. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer - we commit to respond to every applicant.
Salary
$146,897 - $227,847
Posted
10 Jul 2026
Lecturer/ Associate Professor / Professor in AI Data and Driven Electrical Engineering
Hainan Bielefeld University Of Applied Sciences (Biuh)
China
Hainan Bielefeld University Of Applied Sciences (Biuh)
China
Job Responsibilities Teach and assess at least 3 courses from the following 4 core subjects: Programming 1(Python) Fundamentals of AI Data Analytics & Machine Learning Deep Learning Develop course materials and curricula aligned with international standards and industry practices in AI, machine learning, and electrical engineering applications. Engage in applied research and publish in peer-reviewed journals. Collaborate with industry partners on AI-driven electrical systems, data analytics, predictive maintenance, and intelligent automation projects. Supervise student projects related to AI applications, machine learning models, data-driven engineering, and intelligent electrical systems. Job Qualifications Master’s degree or above in Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, Automation, or a closely related field. Strong background in artificial intelligence, machine learning, data analytics, and programming. Proficiency in Python and experience with AI/ML frameworks. Practical industry experience in AI, automation, smart systems, or electrical engineering applications is an advantage. Excellent communication skills and a strong commitment to high-quality teaching in an international environment. Proficiency in English; knowledge of German and/or Chinese is a plus but not required. Expected Onboarding Date August 2026 Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality Paid Holidays Statutory Holidays (13days) Annual Leave (25 days) Paid Sick Leave Paid Marriage Leave Paid Maternity Leave Paid Paternity Leave Parental Leave How to apply Please prepare the following documents: Current English CV(including full publication list) Cover Letter(addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor’s (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as ” Position – Your Name” Please send all files to recruitment@hibiuh.edu.cn
Salary
Competitive Salary in the Market (13th Month Salary)
Posted
9 Jul 2026
Dean of Faculty of Science
University of Macau
Macao
University of Macau
Macao
(Ref. No.: FSC/DEAN/07/2026) The University of Macau (UM) is an internationalized research-oriented comprehensive public university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World University Rankings and placed No. 267 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. In addition, UM is currently establishing a campus in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, which is expected to be operational in 2028. With unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the primary medium of instruction at UM. The University of Macau sincerely invites applications for the position of the Dean of Faculty of Science. Faculty of Science The Faculty of Science was restructured and reorganized from the Faculty of Science and Technology. Its establishment aligns with the strategic needs of the country and the Macao SAR and will provide foundational support in the basic sciences for technological innovation in Macao and nationwide. The Faculty will comprise the Department of Mathematics, the Department of Physics, the Department of Chemistry, and the Department of Biological Sciences, and is expected to enrol approximately 1,000 students. Dean of Faculty of Science The successful candidate should have considerable experience in faculty management, academic strategic planning, curriculum design, laboratory setup and research development, and must be highly committed to the pursuit of excellence in teaching, research and service. In particular, the candidates should have the following credentials: An earned doctoral degree in Science or related disciplines; A distinguished record of internationally-recognized research and scholarship; Evidence of outstanding academic leadership, demonstrated commitment to leading research and a record of effective teaching in higher education settings; Ability to foster interdisciplinary collaboration, drive technological innovation, and establish relationship with diverse stakeholders; Excellent management and communication skills; Proficiency in English is required as it is the working language, while knowledge in Chinese/Portuguese will be an advantage. Remuneration Remuneration will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure More details about the job vacancy can be accessed at https://career.admo.um.edu.mo/. The University has appointed Perrett Laver to provide consultancy service for the recruitment of this position. A cover letter, detailed curriculum vitae in English and other related materials should be sent to the following address, with quotation of reference no. FSC/DEAN/07/2026. 1901 Wilson House, 19-27 Wyndham Street, Central, Hong Kong Email: Matthew.Foreman@perrettlaver.com Tel: +852 3702 6498 Interested individuals are encouraged to submit their materials as early as possible to ensure timely consideration. Review of applications and nominations will commence immediately and continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of submission. For enquiries, please call Dr. Matthew Foreman on +852 3702 6498. ***Personal data provided by applicants will be kept confidential and used for recruitment purpose only*** ** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**
Salary
Competitive
Posted
9 Jul 2026
MOE START Scheme (Early Career Awards) - Food, Chemical and Biotechnology
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence. In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses. The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen Recently completed postdoctoral training Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for intake 2026. Interview by the respective clusters for shortlisted applicants will be conducted throughout the year. Final Interview by Panel for shortlisted applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Food, Chemical and Biotechnology Sustainable and Functional food: Sustainable food systems & circular food economy - alternative proteins, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and chemical transformations, separations, purifications and formulation applied to pharmaceuticals manufacture; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification and sustainability.
Salary
Competitive
Posted
9 Jul 2026
Subjects Taught at Imperial College London
See below for a range of subjects taught at Imperial College London
Business and Economics
- Accounting and Finance
- Business and Management
- Economics and Econometrics
Computer Science
- Computer Science
Engineering
- Chemical Engineering
- Civil Engineering
- Electrical and Electronic Engineering
- General Engineering
- Mechanical and Aerospace Engineering
Life Sciences
- Biological Sciences
Medical and Health
- Medicine and Dentistry
- Other Health
Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy