University of Liège
About the University of Liège
Basic information and contact details for the University of Liège
The University of Liège (ULg) was founded in 1817 by King Wilhelm the First after Napoleon demanded a university for Belgium – a territory that was then part of the Napoleonic Empire. It was given its current name in 1989 and is the only public university for the French-speaking community of Brussels.
ULg has more than 20,000 students, almost a quarter of whom are international. It offers 33 undergraduate degree programmes and 193 master’s courses organised across ten faculties within five sites (four in Belgium and one in Corsica).
The university specialises particularly in foreign languages and emphasises learning that prepares students for work anywhere in Europe. It maintains strong ties with former students and claims to be unique in the support it offers graduates.
With links to over 600 Belgian and international firms, ULg works with businesses to teach courses that meet the needs of industry and which equip students for employment. The university’s applied research activities have generated a total of 80 high-tech spin-off firms as well as a portfolio of licensable technologies.
It also offers a programme of continuing education consisting mainly of technological or management seminars for graduates and companies.
More than half of ULg’s budget is invested in research and the university prides itself on being one of the most active in terms of research programmes, both locally and internationally, encouraging inter-disciplinary research among its faculty.
Liège is Belgium’s third largest city, which sits in the Meuse River valley, close to the German and Dutch borders. It is one of the country’s major educational hubs and boasts a large population of students as well as a vibrant multicultural community. Its weekly Sunday market, La Batte, is popular with both tourists and locals alike. There is also a large number of sport and leisure clubs available to students through the university.
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Key Student Statistics
A breakdown of student statistics at the University of Liège
- Student gender ratio
- 59 F : 41 M (1)
- International student percentage
- 21% (1)
- Students per staff
- 29.7 (1)
- Student total
- 22785 (1)
Based on data collected for the (1) World University Rankings 2026
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University Assitant (Praedoc) - Completion Contract, Computer Science
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an University Assitant (praedoc) - Completion Contract 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2026 Reference no.: 5544 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors and co-supervisors who pursue basic as well as applied research within an intensive doctoral teaching programme tailored to the scientific needs of students in small topical groups. The Doctoral School Computer Science provides the option of performance-based contract extensions to doctoral students who previously had a position as university assistant (prae doc) or as third-party funded researcher (prae doc) at the University of Vienna. This completion contract is meant to support a high-qualified DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science. The group’s research focuses on data mining - particularly clustering and representation learning - graph mining, and probabilistic machine learning. We place great emphasis on a relaxed, collaborative environment and a collegial atmosphere. Social interaction is a top priority for us and contributes to active scientific dialogue and a positive work environment. Learn more about us at https://dm.cs.univie.ac.at/ Your future tasks: You will actively participate in research, teaching, and administration. This includes, among other things: Your primary responsibility is to complete and submit your dissertation. You will develop new methods in data mining and machine learning, particularly in the areas of clustering representation learning graph mining anomaly detection You will contribute to research projects and scientific studies in the above-mentioned areas. You will independently teach courses in accordance with the provisions of the collective bargaining agreement or assist in doing so. You will publish internationally and give presentations. You will contribute to the organization of meetings, conferences, and symposia. You will participate in faculty, teaching, and research administration. This is part of your personality: Required Qualifications: You hold a degree in Computer Science or Computer Engineering (Diplom, Master’s, or Magister degree), and a solid foundation in computer science is required. You are currently enrolled in a doctoral program (Computer Science or Business Informatics) at the University of Vienna and are a member of the Doctoral School of Computer Science. You have demonstrated outstanding academic performance (e.g., FÖP within one year, annual submission of progress reports, exceptional publication record). You possess a high degree of motivation and commitment to successfully complete your doctoral studies within the intended timeframe. You have proven expertise in one or more of the following areas: Clustering Representation Learning Graph Mining Anomaly Detection You possess teaching skills and experience with e-learning. You have excellent written and spoken English skills (at least C1 level). (The language of communication within the team is English!) Desirable qualifications: You have publications in leading journals in the field, e.g., ICCV, KDD, ICDM, WWW You are a team player with strong social and communication skills. You work independently and reliably. You have knowledge of university processes and structures. You have international experience You have teaching experience What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Resume Cover letter outlining your ideas for a potential doctoral project Abstract of your master’s thesis Degree certificates and transcripts with grades from your bachelor’s and master’s programs List of publications, proof of teaching experience (if applicable) If you have any questions, please contact: Claudia Plant claudia.plant@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 04/25/2026 Prae Doc
Salary
The basic salary of EUR 3.776,10 (on a full-time basis)
Posted
17 Apr 2026
Research Fellow – Machine Learning for Nanoscale Semiconductor Manufacturing
University of Southampton
United Kingdom, Southampton
University of Southampton
United Kingdom, Southampton
Semiconductor fabrication is one of the most complex and precision-driven forms of manufacturing. At nanometre scales, even subtle variations in process conditions can introduce defects that degrade device performance, reduce yield, and drive up production costs. Addressing this challenge requires new modelling approaches that can capture the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process conditions. The models you develop will not remain confined to the research lab, but will be validated experimentally and tested at an industrial scale in collaboration with global companies in semiconductor fabrication and electronic design automation. The position offers a rare opportunity to apply machine learning to an important technical challenge with substantial potential impact. You will also be involved in supervising PhD students and junior researchers and play a central role in shaping the research direction of the team. Your work is also expected to contribute to the development of innovative technologies with a clear pathway to commercialisation through the spinout company Deep Fabrication, to influence how semiconductor manufacturing is approached in practice. The role will provide you with deep exposure to nanofabrication processes, experience working with industry-relevant datasets and problems, and the opportunity to publish in leading journals and conferences. It is particularly well-suited to candidates who are motivated by applying machine learning to real-world systems where the underlying physics is complex and not fully understood. This position is offered for 24 months in the first instance, with the possibility of extension for a further 12 months. To apply, please submit your CV and a cover letter outlining how your experience and interests align with the aims of the project, and provide responses to the short-listing questions.
Salary
£36,636 to £44,746 per annum
Posted
17 Apr 2026
Head of Academic Division
Le Cordon Bleu Limited
France, Paris
Le Cordon Bleu Limited
France, Paris
Head of Academic Division- Full-Time Position Position Overview The Cordon Bleu Paris Institute is seeking highly qualified and dynamic individuals to play a significant role in overseeing and shaping its strategic academic directions aiming for continued disciplinary excellence and successful student-centred outcomes. The successful candidate will demonstrate proven experience in higher education teaching, academic quality assurance compliance requirements, programme management and development in the areas of Hospitality Management, Gastronomy and Food systems, Food & Beverage experiences. Extending beyond operational management, this role is meant to encompass a potential progression for contributing to institutional governance, policy development and strategic planning of its academic mission. Key roles & Responsibilities In carrying out his or her role, the “Head of Academic Division” is meant to contribute to teaching, ensure academic leadership and mentoring, oversee implementation of best academic administration practices in compliance with quality assurance requirements. Serving as a member of the senior administrative team, expectations withing these domains are as follows: Academic leadership Provide leadership in support of institutional philosophy, principles, and governance and for the deployment of strategic academic initiatives. Provide strategic insight into advances and emerging trends in the areas of Hospitality, Gastronomy & Food systems, Food & Beverage experiences, Food product development and innovation. Optimise differentiation and respect of curricular intentions, teaching goals, learning and assessment objectives, overseeing design and implementation of comprehensive teaching and assessment frameworks. Ensure content breadth, depth, logical progression and coherence within and across programmes. Work closely with the “Head of Management Education and Career Integration” for optimizing applied learning opportunities and programme content alignment with evolving work-place expectations. Administrative Excellence Manage academic resources efficiently reviewing quarterly teaching assignments to ensure effective programme delivery while respecting equity principles. In collaboration with the Institution senior administrative team, review quarterly teaching assessment reports and provide mentoring in support of faculty development and advancing contemporary teaching practices. Counsel and guide the “Head of student trajectory and academic operations” to enhance student-centered teaching and learning approaches. Optimize alignment between programme descriptions, marketing materials, and actual delivery and enhance academic documentation to improve clarity and effectiveness. Work in close collaborations with the Administrative and Finance Director for academic budget framework (student recruitment targets; planning of programme offering and teaching assignments). Working in close collaboration with the Comité de direction, carry out data analysis and prepare detailed reports with actionable recommendations for optimizing programme delivery and revenue generating initiatives. Navigate effectively between senior academic administration, academic functions, and operational support ensuring transparent communication regarding project status, challenges, and solutions. Academic Quality Assurance Lead the implementation and maintenance of academic quality assurance principles including transparency, equity, trackability, and accountability to ensure compliance with qualification standards. Monitor key performance indicators for academic excellence. Lead and oversee the academic cycle and Academic Council activities according to approved Terms of References. Required Qualifications Education & Experience Master's degree (PhD preferred) in the areas of “Gastronomy”, “Food Product Development”, “Food Sciences”, “Hospitality Management”, “Food & Beverage Management” or equivalent. Minimum 5+ years regular teaching responsibilities (including in higher education). Leadership & Management Skills Experience in academic affairs management/coordination experience in programme management, student affairs or academic operations management. Proven leadership ability with experience managing academic teams and working effectively with senior management. Track record of successful project management and delivery. Technical Skills & Competencies Experience with academic quality assurance processes including academic documentation, accreditation processes and compliance requirements. Experience in programme mapping, assessment design and data analysis across all levels of academic programmes and training. Proficiency in the use of educational technology and learning management systems and evolving best practices. Essential Personnal and Professional Attributes Language proficiency: Excellent written and verbal communication skills in English; Minimum of Intermediate verbal proficiency in French language (professional working level). Willingness to relocate to Paris. France for full-time on-site presence. Rigorous Standards: Unwavering commitment to academic excellence and process adherence. Integrity & Transparency: Commitment to honest communication about capabilities, challenges, and progress. Adaptability: Willingness to learn and improve based on feedback and changing requirements. Collaborative Leadership: Ability to work effectively across departments and with diverse stakeholders. Capacity to accept and implement senior management decisions constructively. An understanding of the European competency certification framework and of French education system and regulatory bodies will be an asset. Compensation & Benefits Competitive salary: Commensurate with experience, plus comprehensive benefits package including professional development. Application, required documents and selection process: Required documents are: Cover letter outlining career expectations and relevant experience. Comprehensive CV/Resume. Three professional references. Teaching evaluations or portfolio (if available). Application Deadline: 20th May 2026 Start Date: 1st September 2026 or earlier. The selection process includes the following: Initial application review and selection of a short list of candidates. Video or in-person interview with hiring committee of short-listed candidates. Triage for selection of final short list of candidates of interest. Second task-oriented interview with senior institutional management. LCB is an equal opportunity employer committed to diversity and inclusion in education. We encourage applications from qualified candidates of all backgrounds.
Salary
Competitive
Posted
17 Apr 2026
Research Associate (A)
Adelaide University
Australia, Adelaide
Adelaide University
Australia, Adelaide
Based in the College of Engineering and Information Technology, Adelaide City Campus East Full time fixed term position available for 33 months Salary range: $81,293 - $109,307 per annum (plus 17% superannuation) At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters In this role, you will lead the next stage of Adelaide University’s Smart Stormwater Systems journey. You will help deliver a real-world demonstration site that turns award-recognised research into practice. The site will show how distributed storages, smart design and real-time control can reduce urban flood peaks, adapt to climate change and avoid costly and disruptive pipe upgrades. It can also unlock co-benefits like water harvesting for greener, cooler suburbs and improved water quality. Working with an interdisciplinary team including committed local government funding partners, you’ll shape the vision, coordinate design and delivery, and translate data, models and on-ground monitoring into practical outcomes. The aim is to demonstrate this can be scaled and adopted across cities—helping communities adapt to climate change while creating infrastructure that is smarter and more resilient. The team The Smart Stormwater Systems team is led by Associate Professor Mark Thyer and Professor Holger Maier (Adelaide University), who bring complementary strengths across modern civil and environmental engineering. Mark Thyer is an international recognised expert in hydrology and water resources with 20+ years’ experience in flood and drought risk, climate variability and forecasting/uncertainty. Holger Maier is internationally recognised for developing and applying AI/machine learning, optimisation (notably evolutionary algorithms), and decision-support methods for complex water and infrastructure systems operating under uncertainty, and he has received major recognition for both research excellence and engineering education leadership, including international modelling and simulation awards and senior editorial/service roles in the field. Together, they lead an interdisciplinary group with a strong track record of funded, high-impact research and close collaboration with industry and government partners. Mark and Holger are part of the School of Civil Engineering and Construction Management, which is ranked in Top 100 worldwide for Civil and Structural Engineering, while Adelaide University has a lifetime ranking of #1 in Australia for Water Resources, and #8 Globally. The School sits within the College of Engineering and Information Technology, which brings together expertise across aviation, computer science, construction management, and the full spectrum of 21st-century engineering disciplines including civil, mechanical, electrical, chemical, environmental, and biomedical engineering. Visit the AU website to learn more about the College of Engineering and Information Technology. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role suits someone who enjoys working in a dynamic environment with a variety of tasks to complete and enjoys working in multidisciplinary teams to maximise our collective achievements. You’ll engage with colleagues, students, and industry partners, receiving and delivering research contributions across teams. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: Qualifications: Hold a PhD in the discipline of civil/environmental/mechanical engineering or computer science or a related discipline; final-stage PhD candidates may be considered if they have received a positive thesis examination outcome Essential: Demonstrated organisational and project management skills, including the ability to plan and prioritise tasks, manage competing deadlines, and deliver to milestones in applied research and/or industry-linked projects. Excellent interpersonal and communication skills, with demonstrated ability to work effectively in an interdisciplinary team and to liaise with a diverse range of stakeholders (e.g., local government, industry partners, community and end users) to translate technical concepts into practical outcomes. Demonstrated experience in quantitative analysis and modelling, such as hydrology/hydraulics, water systems, environmental modelling, optimisation, and/or data science (including ability to work with real-world datasets). Demonstrated research track record relative to opportunity, including publication in high quality international journals Demonstrated ability to produce high-quality written and verbal outputs for a wide range for range of audiences (e.g., scientific papers, presentations, technical reports, and/or guidance for both researchers and industry/practitioners) Desirable: Experience with stormwater or water resources tools and methods (e.g., SWMM, MIKE, InfoWorks, TUFLOW, HEC-HMS/HEC-RAS, Australian Rainfall-Runoff guidance), or equivalent demonstrated capability in hydrologic/hydraulic analysis. Experience developing and/or deploying data-driven or control systems (e.g., optimisation or machine learning workflows, sensors/telemetry, control systems, field trials, software prototypes, dashboards), ideally in a water, environmental, or infrastructure context. Demonstrated capability (or strong aptitude) to contribute to smart stormwater solutions that integrate infrastructure and data, such as real-time monitoring and control, sensing/IoT, control logic, decision support tools, or evaluation of co-benefits (e.g., flood mitigation, water reuse, urban greening, water quality). Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now. Applying is simple. Simply click on the Apply Now button and upload: your current CV a cover letter that tells us why you’re excited about the role The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm Friday 15 May 2026 Please note that the role description is not attached to this advertisement as it is currently being finalised. For further information about this opportunity, please contact (quoting reference number 492768): Jessica Maslen Team Lead – Talent Acquisition People and Culture +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au Appointment is subject to a satisfactory National Police Check (NPC) being obtained and maintained.
Salary
$81,293 - $109,307 per annum (plus 17% superannuation)
Posted
17 Apr 2026
University Assistant Predoctoral/PhD Candidate, Physics
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2030 Reference no.: 5518 How can we perform table-top experiments to obtain new insights into the foundations of quantum physics? Can we measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear materials? Such questions are the driving force behind our research. You will be part of our team and develop new ideas, technologies and experiments. Your personal sphere of influence: As a university assistant (PraeDoc) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.-Prof. Dr. Philip Walther. The group is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian Cluster of Excellence quantA. The group’s research combines the development of scalable photonic quantum technology for quantum computing and other quantum information applications with the investigation of fundamental quantum science questions. The main activities range from quantum control of single photons using solid-state photon sources, integrated waveguide technology, tailored nonlinear media and detectors based on superconductor technology to interferometric precision measurements of weak gravitational forces. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on the premises, about 300 quantum researchers in Vienna. The Walther Group unites an international team of scientists who are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student and PhD candidate to postdoc, are working together on mostly experimental topics in small subgroups. Teamwork is a key factor in our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum communication, quantum foundations as well as the quantum-gravity interface. Your future tasks: Active participation in research, teaching and administration, which means: You are involved in a specific and well-funded research project dedicated to experimental quantum foundations and indefinite causal order. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for research, teaching and administration. You will continuously stay informed about the state of the art in your field. You contribute to outreach by publications, conference presentations and public activities. This is part of your personality: You have completed your Master's degree or Diploma in physics and written your thesis in the field of experimental quantum optics. You have experience with table-top experiments, photonic platforms, optical non-linear processes and quantum foundations. You have experience in academic writing. You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. You have excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world. Internal further training & coaching: The Vienna Doctoral School as well as the department of human resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (40h/w, 14x p.a.) increases if we can credit professional experience. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Your scientific curriculum vitae A letter of motivation Your bachelor's and master's degrees Title and abstract of your master's thesis Contact details of 2 references If you have any content questions, please contact: Philip Walther philip.walther@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 04/25/2026 Prae Doc
Salary
The basic salary of EUR 3.776,10 (40h/w, 14x p.a.)
Posted
17 Apr 2026
Subjects Taught at the University of Liège
See below for a range of subjects taught at the University of Liège
Arts and Humanities
- Archaeology
- Architecture
- History, Philosophy and Theology
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- 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
- Agriculture and Forestry
- Biological Sciences
- Sport Science
- Veterinary 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