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UCL

Ranked
London, United Kingdom
22nd in World University Rankings 2026
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About UCL

Basic information and contact details for UCL

UCL was founded in 1826 to bring higher education to those who were typically excluded from it. In 1878, it became the first university in England to admit women on equal terms as men.

Located in the heart of London, UCL is a constituent college of the University of London and a member of the Russell Group, with approximately 850 professors and over 6,000 academic and research staff. 

UCL comprises 11 faculties: Arts and Humanities, Built Environment, Brain Sciences, Engineering, the Institute of Education, Laws, Life Sciences, Mathematical and Physical Sciences, Medical Sciences, Population Health Sciences, and Social and Historical Sciences.

Throughout its history, UCL has been the birthplace of numerous significant scientific discoveries, with 29 Nobel Prizes awarded to UCL students or staff, including William Ramsay, who won the Nobel Prize in Chemistry in 1904 for his discovery of the noble gases.

In addition, the UCL academic community includes 53 Fellows of the Royal Society, 51 Fellows of the British Academy, 15 Fellows of the Royal Academy of Engineering, and 117 Fellows of the Academy of Medical Sciences.

The student body is nearly 36,000-strong and UCL has one of the largest systems of postgraduate study in the country. Nearly 52 per cent of students are engaged in graduate studies.

Students hail from approximately 150 countries worldwide making up more than one-third of the university’s entire student population.

UCL was the first British university to open a campus in Doha, Qatar, where it runs a centre for the study of cultural heritage. It also has a presence in Adelaide, South Australia, which includes a space science and an energy policy institute.

UCL alumni include film director Derek Jarman, the writer Lynne Truss, Baroness Patricia Scotland, who became the UK’s first female Attorney General, and Marie Stopes, who founded Britain’s first family planning clinic.

The university’s Latin motto translates as ‘Let all come who by merit deserve the most reward.’

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Key Student Statistics

A breakdown of student statistics at UCL

gender ratio
Student gender ratio
60 F : 40 M (1)
globe fill
International student percentage
63% (1)
student per staff
Students per staff
12.1 (1)
student
Student total
47520 (1)

Based on data collected for the (1) World University Rankings 2026

Jobs you might be interested in

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Associate Lecturer (Clinical Education) - Sydney Nursing School

UNIVERSITY OF SYDNEY

The University of Sydney

Australia, Camperdown

institution

The University of Sydney

Australia, Camperdown


Full time, fixed term (18 months) role based at Camperdown and/or Westmead campus Associate Lecturer role contributing to clinical teaching and learning within the Susan Wakil School of Nursing and Midwifery (Sydney Nursing School) Base Salary $93,424 + 17% superannuation About the opportunity The University of Sydney Susan Wakil School of Nursing and Midwifery (Sydney Nursing School) is the school of choice to nurture global citizens in health and wellbeing. We are currently ranked #2 in Australia and #25 globally in the QS World University Rankings by Subject. As a leader in nursing research and education, Sydney Nursing School produces graduates who possess critical thinking skills, knowledge and values to provide exceptional, culturally safe and person-centred care for individuals and communities locally and globally. We are also home to the Discipline of Nutrition and Dietetics and the Broken Hill University Department of Rural Health. We integrate teaching, research, and scholarship with practice and policy development, while fostering engagement with all health professions. Our experienced staff, many of whom work in frontline healthcare services, make a real difference to the healthcare landscape in Australia and internationally. Sydney Nursing School offers a supportive and collegial environment with many opportunities for professional development. We are committed to providing a workplace that is inclusive and diverse, and we encourage applications from suitably qualified and experienced individuals, including women, members of visible minorities, Aboriginal and Torres Strait Islander peoples, and persons with disabilities. Applicants who are willing to embrace our vision and are interested in driving forward our strategy for continuously improving our research impact and student experience, and building a respectful, collaborative, culturally safe and person-centred workplace culture, are strongly encouraged to apply. The University is seeking a suitably qualified Associate Lecturer - Clinical Education. You will be a talented educator with a passion for, and demonstrated excellence in, pedagogical practice and design. Clinical educators are a subset of specialist educators with demonstrated excellence and experience in clinical practice in a health profession, and in clinical education in a health setting. The incumbent will be based within The Susan Wakil School of Nursing and Midwifery located on the Camperdown campus and may be required to teach within the Westmead campus. Your key responsibilities will be to: Contribute to the clinical teaching and learning conducted by Sydney Nursing School in simulated and clinical settings undertake teaching and coaching of students in clinical nursing, area of expertise or related area (primarily in pre-registration programs) within simulated and/or clinical settings develop teaching and subject materials, specifically in high, medium and low fidelity simulation, under the supervision of more senior academic staff within the school provide support and clinical education to students during their work-integrated learning experiences, ensuring each student has the opportunity to meet their clinical learning objectives during their placement conduct student clinical performance assessments in simulated and clinical settings provide mentoring and guidance to students, with a focus on role-modelling effective patient interaction and care develop assessment materials that align with best practice under the supervision of more senior academic staff within the school. About you Pre-registration nursing degree with at least 5 years clinical nursing experience advanced Learning Masters Level qualification in nursing or health related field or in education hold current registered nurse registration with AHPRA without any conditions/restrictions placed on registration extensive experience working as a registered nurse within a relevant specialist clinical setting experience in clinical teaching and learning, as evidenced by participation in student coaching and skills development, clinical supervision, peer-assisted teaching and learning, or similar developing knowledge and understanding of contemporary clinical teaching practices and effective curriculum design experience in developing and implementing high, medium and low fidelity clinical simulation in preregistration nursing programs. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Cecilia Blamey, Recruitment Operations by email to cecilia.blamey@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Sunday 12 July 2026 11:59 PM

Salary

$93,424 + 17% superannuation

Posted

1 Jul 2026

Senior School Administrator

AUSTRALIAN NATIONAL UNIVERSITY (ANU)

The Australian National University

Australia, Canberra

institution

The Australian National University

Australia, Canberra


Classification: ANU Officer 6/7 (Administration) Salary package: $100,847 - $116,083 per annum plus 17% superannuation Term: Full time, Continuing Position Description and Selection Criteria: PD&PEWER_ANUO6_7_Senior School Adminsitrator.pdf Work at the heart of a leading law school – partner with senior leadership to support ANU Law School’s teaching, research and strategic priorities. Varied, high-impact role – blend executive support, project delivery, and financial and HR administration in a fast-paced, dynamic environment. Outstanding benefits and flexibility – competitive remuneration, 17% super, salary packaging, generous leave provisions, and flexible working arrangements. Position overview The ANU Law School is seeking a highly organised and proactive Senior School Administrator to support the effective day-to-day operations of the School. Working closely with the Head of School and School Manager, you will provide high-level administrative and advisory support across a broad range of activities. As a key point of contact for the School, you will deliver responsive, professional and solutions-focused support while managing competing priorities with sound judgement and initiative. You will contribute to projects and strategic initiatives, support financial and HR processes, and drive continuous improvement in administrative systems and practices. This is an excellent opportunity for an experienced administrator who thrives in a collaborative environment and is keen to make a meaningful contribution to one of Australia’s leading law schools The School The ANU Law School is consistently ranked among the world’s leading law schools. For over 65 years, it has stood at the forefront of legal education and impact as Australia’s national law school, earning global recognition for scholarly excellence and shaping legal and policy debates. With historic strengths in public and international law, and a growing reputation in environmental law, private and corporate law, and human rights law, the ANU Law School shapes law and policy and prepares graduates for a rapidly evolving legal landscape. The College The ANU College of Law, Governance and Public Policy (CLGP) is a progressive and newly established College that brings together four world-leading academic schools dedicated to shaping the future of law, governance, regulation, policy and population health. As part of Australia’s leading university, the College fosters excellence in research, teaching, and engagement, driving impactful contributions to national and global challenges. The College provides an intellectually rich community, committed to providing a collaborative and supportive environment for academics, students, and professionals to thrive. For further information please contact Fiona Preston, School Manager, ANU Law School E: fiona.preston@anu.edu.au  The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au   ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion Application information In order to apply for this role please make sure that you upload the following documents: A maximum 2-page statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The preferred candidate must have rights to live and work in Australia, and will be required to complete mandatory pre-employment declarations and background checks relevant to the role they have applied for, in accordance with the Background Checking Procedure and the National Higher Education Code to Prevent and Respond to Gender-Based Violence. CLOSING DATE: Wednesday 15 July 2026, 11.55pm (Canberra time)

Salary

$100,847 - $116,083 per annum plus 17% superannuation

Posted

30 Jun 2026

Research Engineer (Microgrid Controller Design) - TKJ2

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The Research Engineer (Microgrid Controller Design) will contribute to a one-year applied research project funded by the Singapore Army, focusing on the development of a mobile DC microgrid for military tactical applications. The role involves designing and implementing advanced control algorithms to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically assign grid-forming roles under varying operating conditions. The engineer will develop, simulate, and test controller logic using MATLAB/Simulink or similar environments, analyse performance across diverse scenarios, and document results for technical reporting. This position is ideal for candidates with a strong foundation in control systems, software development, and power or energy management applications. Key Responsibilities Participate in the research project to design a mobile DC microgrid controller for military tactical applications. Develop control algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and validate performance under different simulated conditions. Conduct testing of control strategies under various operating conditions such as extreme weather, load variation, equipment failure and deployment constraints. Prepare documentation, flowcharts, control logic diagrams, and controller specifications for the final report. Assist with procurement of software licences and technical equipment. Conduct Risk Assessments and ensure compliance with WSH regulations. Support supervision of capstone project students involved in the project. Work independently and collaboratively to maintain research software and project tools. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Job Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar environments. Understanding of control systems, power electronics, or energy management strategies. Experience in microgrid controller design is advantageous. Familiarity with BESS control strategies, SOC management, or optimisation algorithms preferred. Support supervision of capstone project students involved in the project. Ability to implement and test algorithmic logic using simulation tools. Strong analytical, problem-solving, and debugging skills. Excellent technical writing, communication, and interpersonal skills.

Salary

Competitive

Posted

30 Jun 2026

Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems

AALTO UNIVERSITY

Aalto University

Finland

institution

Aalto University

Finland


Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16 000 students and 5 200 employees, including 446 professors. Our campus is in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. We are now looking for a Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on AI-based and quantum-inspired methods for sustainable energy systems. The position is funded by the Research Council of Finland (RCF) and is part of the project “Smart, Economic, and Sustainable Energy Management of Green Maritime Industry via AI Approaches” (SiGMA). The position is hosted by the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering. The research will focus on the modelling, optimization, and operation of AI+Energy systems, integrated energy systems, green hydrogen, ship and port energy systems, and energy-intensive infrastructures such as data centres. The research group is led by Assistant Professor Zhengmao Li and focuses on multi-energy system optimization, AI-driven energy management, green hydrogen integration, and sustainable maritime energy systems. The position will also benefit from the group’s ongoing research activities and collaborations, and will provide opportunities to work with academic and industrial partners in Finland and internationally. Your role and goals In this position, your doctoral research will focus on developing AI-based and quantum-inspired methods for the modelling, optimization, and operation of sustainable energy systems. The main application area will be green maritime energy systems, especially ship and port energy systems with integrated electricity, heat, hydrogen, storage, and flexible loads. Your main tasks will include: Developing mathematical, data-driven, and AI-based models for sustainable multi-energy systems. Designing optimization and decision-making methods for system planning, scheduling, and operation. Exploring quantum-inspired optimization methods for selected energy-system problems. Applying the developed methods to case studies related to ship and port energy systems, green hydrogen, smart grids, or other energy-intensive infrastructures. Implementing algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed methods through practical case studies. Preparing scientific publications for international journals and conferences. Your network and team In this position, you will join the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering. Your main supervisor will be Assistant Professor Zhengmao Li. You will work closely with: Your supervisor and research group, including doctoral researchers, master’s students and research assistants working on energy-system modelling, optimization and AI-based methods. Academic collaborators at Aalto University and partner universities in Finland and abroad. Industrial and societal stakeholders, especially in areas related to energy systems, hydrogen, maritime operations, smart infrastructure and data-driven decision-making. The wider Aalto community, including researchers and students from electrical engineering, automation, computer science and energy-related fields. The working style of the group is collaborative and research-oriented. You will be encouraged to develop independent scientific ideas, discuss your work regularly with the team, contribute to joint publications and participate in project meetings, seminars and stakeholder activities. Your experience and ambitions Candidates should hold a Master’s degree in electrical engineering, energy systems, automation, or a related field. A strong background in energy-system modelling, mathematical optimization, machine learning, reinforcement learning, or data-driven decision-making is appreciated. Experience with programming and computational modelling is important for the position. Familiarity with Python, MATLAB, Julia, or similar tools is considered valuable. Previous experience in one or more of the following areas is an advantage: power and energy systems, integrated multi-energy systems, hydrogen systems, maritime or port energy systems, data centre energy management, smart grids, stochastic optimization, deep learning, safe reinforcement learning, or quantum-inspired optimization. A strong command of English, good communication skills, and the ability to work both independently and as part of a research team are essential. The candidate is expected to be motivated to publish high-quality scientific papers, participate in research projects, collaborate with academic and industrial partners, and develop into an independent researcher during the doctoral studies. The following skills are considered assets, but they can also be developed during the doctoral studies: Experience with energy-system simulation or optimization tools. Experience with machine learning, reinforcement learning, or other AI-based methods. Knowledge of power systems, hydrogen systems, or multi-energy system operation. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time decision-making. Interest in quantum computing or quantum-inspired optimization methods. Good programming skills in Python, MATLAB, Julia, or similar languages. Experience in writing scientific papers or participating in research projects. What we offer We offer a fully funded doctoral researcher position in a timely and growing research area at the intersection of artificial intelligence, quantum-inspired methods, and sustainable energy systems. You will have the opportunity to work on research questions that are both scientifically challenging and closely connected to the clean energy transition, including integrated energy systems, green hydrogen, ship and port energy systems, smart grids, and energy-intensive infrastructures such as data centres. Aalto University offers an international, multidisciplinary, and supportive research environment. Our work is guided by responsibility, courage, and collaboration, and we value openness, equality, inclusion, and well-being. You will receive supervision, feedback, and support from your supervisor and research group, while also being encouraged to develop independence as a researcher. The position also offers good opportunities for professional development, including doctoral courses, research training, teaching experience, conference participation, international collaboration, and skill development in scientific writing, project work, and academic communication. The primary workplace is the Otaniemi campus in Espoo, Finland, which offers a vibrant academic environment, modern research facilities, good public transport connections, and access to the wider innovation ecosystem around Aalto University. Join us! To apply, please share your CV and motivation letter with us through our recruitment site ("Apply now!”) latest at 23.59 pm (EET) 30th August 2026. We will go through applications, and we may invite suitable candidates to interview already during the application period. The position will be filled as soon as a suitable candidate has been found. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions. For more information about the role, please contact Zhengmao Li +358 50 441 3955, or zhengmao.li@aalto.fi. For questions related to the application process, please contact HR advisor johanna.haapalainen@aalto.fi. We aim to have a transparent and equal recruitment process, so feel free to ask us for feedback. Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto and check out our virtual campus experience: https://virtualtour.aalto.fi About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again as the happiest country in the world: World Happiness Report 2025. For more information about living in Finland: Aalto Careers for International Staff. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

Salary

Competitive

Posted

1 Jul 2026

Lecturer in Signal Processing & Machine Learning

VIETNAMESE-GERMAN UNIVERSITY

Vietnamese-German University

Vietnam

institution

Vietnamese-German University

Vietnam


The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Signal Processing & Machine Learning. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is of advantage. The successful candidate will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach undergraduate courses in Electrical & Computer Engineering (ECE) program. The expected workload for the in-class lecture conduction is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on the following modules: Analog Signals and Systems (45AH) Digital Signals & Systems (45AH) Machine Learning (45AH) Operating Systems/Computer Architecture (45AH) Computer Vision/Image Processing (45AH) Software Engineering (45AH) The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring PhD students. Research Responsibilities As a faculty member of a research-oriented university, the successful candidate is expected to significantly contribute to the scientific profile of VGU through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of Signal Processing, Data Analytics and Machine Learning, and Deep Learning/Computer Vision along with knowledge and experience in Artificial Intelligence and Database Management Systems. The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the ECE program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner universities. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a Ph.D. in Electronics, Computer Engineering, Communications & Signal Processing, Data Science and Machine Learning, Artificial Intelligence, or a closely related field, preferably from a well-known international university. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on Analog and Digital Signal Processing, Machine Learning or other areas closely related to it; Knowledge in Software Engineering, Communications Engineering, Artificial Intelligence; Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area; Proven teaching experience with strong self-motivation combined with a passion for teaching and research; Experience in industry is of advantage; Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1] Employment benefits The successful candidate will become part of a professional and interdisciplinary group of faculty and have access to state-of-the-art laboratories. VGU supports its lecturers with attractive start-up endowments for quality research projects. VGU also supports participation in national and international conferences and the publishing of research papers. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application                                                                                                To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Signal Processing & Machine Learning_[Your Name]" Your application should include: Form for basic information (Please download here, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if available, highly appreciated) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Program Academic Coordinator, Assoc. Prof. Dr. Thai Truyen Dai Chan, at chan.ttd@vgu.edu.vn About us The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.

Salary

Competitive

Posted

1 Jul 2026

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Subjects Taught at UCL

See below for a range of subjects taught at UCL

Arts and Humanities

  • Archaeology
  • Architecture
  • Art, Performing Art and Design
  • History, Philosophy and Theology
  • Languages, Literature and Linguistics

Business and Economics

  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

  • Chemical Engineering
  • Civil Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Law

  • Law

Life Sciences

  • Biological Sciences
  • Sport Science

Medical and Health

  • Medicine and Dentistry
  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies
  • Geography
  • Politics and International Studies
  • Sociology