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Université Libre de Bruxelles

Ranked
sdgs/sdg overall
Sustainability Impact Rated
Brussels, Belgium
201–250th in World University Rankings 2026
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About Université Libre de Bruxelles

Basic information and contact details for Université Libre de Bruxelles

institution

Founded in 1834 by Pierre-Théodore Verhaegen, the Université Libre de Bruxelles (ULB) is a private research university with several campuses located in the heart of the Belgian capital, giving researchers and a 24,000-strong student body every opportunity to embrace all the perks of a vibrant European city.

ULB offers about 40 undergraduate programmes and nearly 250 graduate courses. Accessible by train from several major European cities in under two hours, about one-third of ULB’s intake are international with 20 per cent coming from Europe. Although it is a francophone institution, international students can take advantage of university languages courses to improve their French and some master’s programmes are taught in English. ULB has strong links with international institutions and works closely with Vrije Universiteit Brussel, a Flemish-speaking institution also based in the capital.

The university’s founding philosophy focused on the idea of freedom of inquiry and students are represented on all decision-making bodies.

ULB’s motto can be translated as “conquering darkness with knowledge” and its scholars have won a variety of awards including four Nobel prizes, 24 Francqui Prizes, a prestigious scholarly award in the sciences in Belgium, and a Fields Medal. Well-known alumni include the English journalist Robert Peston and business school graduate Heidi Cruz, who worked for the Bush administration and is the wife of US politician Ted Cruz.

The university has 12 faculties and incorporates several museums, including one dedicated to zoology, and at the Solbosch campus, ULB’s main location, there is a weekly market selling locally produced food.

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Key Student Statistics

A breakdown of student statistics at Université Libre de Bruxelles

gender ratio
Student gender ratio
58 F : 42 M (1)
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International student percentage
32% (1)
student per staff
Students per staff
54.1 (1)
student
Student total
33462 (1)

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

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Professional Officer (All Levels) Robotics (SPICE_RaPID)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Job Purpose: The POD robotics team is building up 3 specific domains capabilities to meet complex industry demands that spans across hardware, software, and AI. Adding a Full-Stack Robotics PO would add to the capability of the robotics team. This role will establish our technical standards by leveraging ROS2 and RMF to build standardised, reusable middleware for multi-robot coordination and fleet management as we embark to integrate with JTC ODP and enable center for conducting the testing certification at PDD when the sandbox is established. Knowledge of Embodied AI (SLAM, Reinforced Learning) is also critical for developing shared, plug-and-play autonomy capabilities that drastically accelerate project development speed. With a strong foundation in Mechatronics, this individual guarantee hardware-software integrity and mitigates technical risk by prototyping and troubleshooting physical components in-house. Recruiting this role is a strategic necessity to fuse these disparate domains, allowing the team to deliver robust, standardised modules and support our applied research portfolio. Key Responsibilities Participate and manage the industry project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met Involve in customer engagements, includes gathering of systems requirements and formulate scope Involve in the full development life cycle, i.e., design, development, and testing Generate technical proposals, design documents, test document Job Requirements Strong foundation in electrical engineering, mechanical design, mechatronics or systems engineering Project experience with sensor integration (e.g., LiDAR, cameras, IMUs), actuators, and motor control Experience in ROS (Robotics Operating System) or ROS 2, including package creation, message passing, and launch configuration. Experience with Robotics Middleware Framework (RMF) for multi-robot system coordination, fleet management, and interoperability is highly desirable. Proficiency in PCB design/prototyping, troubleshooting hardware issues, and using lab equipment (oscilloscopes, multimeters, etc.) will be an added advantage. Good programming skills in C, Python and/or C++ in a Linux environment (e.g. Ubuntu) Experience with version control systems (e.g., Git or CVS). Knowledge and some practical experience in areas such as Reinforcement Learning (RL), imitation learning, motion planning, computer vision, or SLAM (Simultaneous Localization and Mapping) as applied to physical robotic agents will be an added advantage. A Master's degree (or a Bachelor's degree with 8+ years of relevant experience) in Robotics, Computer Science, Electrical Engineering or a closely related field.

Salary

Competitive

Posted

9 Jan 2026

Postdoctoral Researcher, School of Intelligent Manufacturing Ecosystem

XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)

Xi'an Jiaotong-Liverpool University

China, Suzhou

institution

Xi'an Jiaotong-Liverpool University

China, Suzhou


ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems ​​​​​RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals, and participate in applying for domestic and international patents. Assist in supervising PhD and Master's students, and participate in the center's collaborative projects with industry partners to promote the industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong intellectual curiosity, ability to solve problems independently, and excellent teamwork spirit. Outstanding written and oral communication skills in both Chinese and English. 2. Industrial Digital Twin and Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g., compressors, reaction kettles). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed technologies in real industrial environments. Publish high-quality academic papers and participate in writing research grant proposals. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT and Edge Computing Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation. Experience with industrial field projects or familiarity with DCS/MES systems is preferred. Excellent teamwork and communication skills. PERSONAL ATTRIBUTES Initiative: applicants should demonstrate a proactive and self-driven approach to work and should take the initiative to identify research opportunities, propose new ideas, and seek solutions to research challenges; Collaboration: The ability to communicate effectively, listen actively, and contribute constructively to group discussions is essential for successful collaboration; Resilience: applicants should demonstrate resilience and perseverance, maintaining a positive attitude and adaptability in the face of setbacks or unexpected outcomes; Ethical conduct: applicants should adhere to ethical guidelines, promote responsible research practices, and ensure the safety and well-being of themselves and others in the research environment. These personal attributes, combined with the required qualifications and expertise, contribute to the overall effectiveness and success of postdoctoral researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as: Housing allowance, Travel allowance, Relocation allowance etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays: Statutory Holidays (13 days) Annual Leave (34 days per academic year including university close days and annual leave) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental Leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Interested applicants are required to submit the application with the following files. Please combine the following application materials into a single PDF file and title it "Digital Twin and Control Systems Postdoc Application – Your Name", Detailed CV (including list of publications) Research Statement (summarizing past research achievements and future research interests) Three representative publications Three reference letters (or contact information for referees) For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn.

Salary

Competitive salary in the market

Posted

9 Jan 2026

Faculty Position, School of Robotics

XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)

Xi'an Jiaotong-Liverpool University

China, Taicang Pt

institution

Xi'an Jiaotong-Liverpool University

China, Taicang Pt


ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT ENTREPRENEUR COLLEGE (TAICANG) In 2019, the XJTLU Entrepreneur College (Taicang) was launched, as a pioneers of, and an educational model for, the future university and campus in developing talents and leaders to meet local, national, and global challenges arising from the 4th Industrial Revolution. Developed in collaboration with the Taicang Municipal Government and industry partners, the XJTLU Entrepreneur College (Taicang) moved to the university’s newly opened award winning Taicang campus, within Greater Suzhou, in September 2022. As a result, there are opportunities at all levels for innovative academics in the fields represented by the following schools and education platforms. For detailed information about the XJTLU Entrepreneur College (Taicang), please visit: https://www.xjtlu.edu.cn/en/study/departments/entrepreneur-college-taicang/ ABOUT THE SCHOOL OF ROBOTICS The School of Robotics is one of the seven industry-themed Schools in the XJTLU Entrepreneur College (Taicang). Each School consists of an Education, Research and Development Institute (ERDI) for teaching and research collaboration, a one-stop School Office providing professional services to support student administration and activities, members of staff, and industry partners, and an affiliated School Joint-Venture Company jointly established by XJTLU and the School’s partner for industry-embedded teaching, learning, practical, and other activities. The governance of the School is through a School Council. The Dean of School oversees the School Management Team as well as contributing to the leadership of the college. The School of Robotics is jointly developed by the University and an industry partner – Siasun, to deliver the industry-themed programme(s). The first degree programme that the School has launched for the Academic Year 2019/2020 is BEng Intelligent Robotics Engineering with Contemporary Entrepreneurship.  Industry Partner Overview Siasun is the international headquarter of Siasun Robot & Automation Co., Ltd. in Shanghai. It is committed to creating a leading-edge international, innovative and platform-based for the industry of robots. The main businesses of Saisun include intelligent robots, intelligent manufacturing, and industry incubating. For more information please see www.siasun-in.com/.  PERSONAL ATTRIBUTES The School of Robotics is adopting a new higher education model based upon the concept of Syntegrative Education (SE). SE is a new model developed by the University to address an increasingly networked and complex future of work in the 4th Industrial Revolution. The model is core to the University’s strategy for its next ten-year development focusing on innovation and entrepreneurship. SE aims to train syntegrative leaders with Management skills, International perspective, Discipline-specific knowledge, and adaptability in Industry (MIDI).  The position will attract individuals embodying these SE values and are passionate in engaging in a future-focused co-learning ecosystem comprising students, academics, practitioners, university, industry, and community. The School seeks academic members who thrive by creating impact through authentic engagement, cross-boundary collaboration, collective learning and discovery, and action-oriented inquiries. These creative educators adopt a systems mindset and use their knowledge, skills, and experiences to co-design and deliver an enriching educational experience for students. They view education as an integrative and life-long transformative process. RESPONSIBILITIES We are looking for future colleagues who can: Understand and have an entrepreneur and innovative mindset, in line with the ethos of the College. Deliver high-quality teaching to undergraduate and graduate students, as evidenced by peers, students and external examiners. Supervise undergraduate and postgraduate students. Provide administrative service to the School, the University and its stakeholders. Maintain a sustained record of successful PhD supervision. Work collaboratively with relevant School(s), College and University entities to identify opportunities for meaningful and genuine partnership and successful impact-creation for research. Conduct high-quality industry-enhanced research and consultancy contracts, evidenced by contribution that output makes to industry, the economy, society, environment or culture, beyond the contribution to academic research. Maintain good, sustained, and successful research grants with impact measured by publications in leading journals and other research outputs. Create, develop and manage successful research partnerships with industry, academic institutions, and other external organisations. Support innovative cross-disciplinary research in line with the Entrepreneur College (Taicang) research themes, and become an ambassador for the School for the promotion of cross-boundary research and teaching activities. Engage actively with new educational models and embrace innovative, interactive, technology-enhanced learning, teaching, and assessment approaches; understand and have an entrepreneur and innovative mindset in line with College ethos. Contribute to the school’s teaching development through mentoring and supporting early career academics (Associate Professor and above). Undertake any other appropriate tasks assigned by the Entrepreneur College or University through the Dean of School or College Senior Management Team. ESSENTIAL QUALIFICATION/EXPERIENCES A doctoral research (normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C++, Python, ROS etc) in robotics-related domains. Self-motivated for innovative teaching. Clear understanding of the philosophy and concept of Syntegrative Education (SE). Demonstrable past teaching/industry experiences or practices aligned with Syntegrative Education (SE). A commitment to Continual Professional Development in all areas of the role as an academic at the university. Ability to work, teach and research in English Strong team-work spirit. DESIRABLE QUALIFICATIONS/EXPERIENCE A good track record of engagement with business and industry. University-level teaching experience. Relevant industry experience. Appropriate research experience, including working with industry, for the corresponding academic position level. Experience in intensive teaching and problem-based learning, and a willingness to be innovative in teaching practices. An institutional builder, able to work with wider disciplines across the college. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas.  Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as  Housing allowance Travel allowance Relocation allowance Etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays: Statutory Holidays (13 days) Annual Leave (34 days per academic year including university close days and annual leave) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental Leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Please submit your application on our university website. Applications must be submitted in a single pdf file that includes 3 parts in the order of: A cover letter A current CV, including date of birth, country of citizenship, and highest degree level Contact Details for Three References For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn.

Salary

Competitive

Posted

9 Jan 2026

Waste & Resources Coordinator

KINGS COLLEGE LONDON

King's College London

United Kingdom, London

institution

King's College London

United Kingdom, London


About us: This is an exciting opportunity for an experienced and organised waste and resource professional to support Estates & Facilities (E&F) in delivering efficient, compliant, and sustainable waste practices. As part of King’s commitment to sustainability and climate action, you will help drive initiatives that reduce environmental impact and contribute to our vision of making the world a better place. About the role:  The Waste & Resource Coordinator plays a vital role in supporting the effective management of waste and resources across King’s College London, including research and other hazardous or specialist waste streams. Sitting within the Sustainability Team in Estates & Facilities, this position is central to ensuring that King’s meets its legal obligations and ISO 14001 requirements while driving continual improvement in waste and resource practices. Reporting to the Sustainability Operations Manager, the postholder acts as the first point of contact for waste-related queries and provides operational advice to stakeholders across all campuses. You will maintain oversight of the waste budget, including forecasting, invoice validation, and reporting, ensuring cost-effective and transparent management of waste services. The role also involves maintaining accurate data inputs into a central Power BI system and interpreting complex datasets to inform decision-making and performance monitoring. Engagement and communication are key aspects of this role. You will attend regular user group and waste review meetings, deliver training tailored to different audiences, and collaborate on campaigns that promote best practice and behavioural change. The Waste & Resource Coordinator also represents King’s in sector networks, strengthening our profile and learning from industry developments. Compliance is a critical responsibility. You will monitor legislative updates, ensure complete and accurate record-keeping of evidentiary documentation, and lead internal audits and Duty of Care visits to verify compliance and identify opportunities for improvement. Additionally, you will contribute operational insights to waste contract management and tendering processes, support the development and implementation of the waste strategy and policy, and work with embedded space partners to align processes and co-design initiatives. This is an exciting opportunity for someone passionate about sustainability and resource efficiency, with strong organisational, analytical, and communication skills. Your work will help embed best practice across King’s and support the university’s commitment to environmental sustainability. This is a full-time post (35 hours per week). About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Knowledge of legislation and compliance requirements: Strong knowledge and understanding of waste & resource compliance requirements across both hazardous and non-hazardous waste streams (knowledge of ISO 14001 desirable). Data & Reporting Skills: Ability to interpret and manage complex datasets and produce clear, insightful reports. Collaboration & Partnerships: Proven ability to establish partnerships and lead collaborative initiatives. Stakeholder Engagement & Influence: Demonstrated ability to effectively engage and influence diverse stakeholders to ensure alignment within teams and organisations. Communication & Training: Experience developing communication and training materials and presenting to varied audiences. Project Coordination & Time Management: Ability to manage multiple projects and priorities with attention to detail. Technical skills: Proficiency in MS applications, including SharePoint and Power BI. Familiarity with Budget Management: Experience with invoice validation, purchase order processing, and financial reporting. Desirable criteria Qualification in a relevant topic. Membership of an appropriate professional body. Experience working in a higher education or large, complex organisations. Experience organising and leading behavioural change campaigns/initiatives. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. We expected to take place in the w/c 9 February 2026 Grade and Salary: £39,076 - £42,819 per annum inclusive of London Weighting Allowance Job ID: 135126 Close Date: 23-Jan-2026 Contact Person: Jen Smallwood Contact Details: jenna-marie.2.smallwood@kcl.ac.uk

Salary

£39,076 - £42,819 per annum inclusive of London Weighting Allowance

Posted

9 Jan 2026

Tenure-Track Prof./Assoc. Professor/Asst. Professor at the School of Computing and Data Science

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534136 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-track Professor/ Associate Professor/ Assistant Professor (several posts) at the School of Computing and Data Science (Ref. 534136), to commence on September 2026 or as soon as possible thereafter. The appointment rank will be determined based on the qualifications and experience of the successful candidate. For Assistant Professors, the appointment will initially be made on a three-year fixed-term basis, with the possibility of renewal and with consideration for tenure before the expiry of the second three-year fixed-term contract, subject to satisfactory performance. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms, subject to the University’s approval. The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http://www.cds.hku.hk. The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT / AIoT Security; Computer Vision; Computing & Big Data Systems; Data Analytics & Technologies; Data Privacy; Digital Forensics; FinTech; Generative AI; Large Language Models; Theoretical Computer Science; Quantum Computing. The appointees will be expected to contribute to undergraduate and postgraduate teaching, supervise graduate students, conduct high-quality research, and participate in administrative duties at CDS. Requirements A Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field A strong commitment to excellence in research and teaching and proven qualities of academic leadership. A solid track record in research. Outstanding and internationally recognised research achievements are essential for appointment at Professor level. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, professional leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. A start-up package that is commensurate with the needs and experience of the appointee will be provided. How to Apply The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., a research statement outlining current and future research plans and interests, a statement on teaching philosophy, relevant teaching evaluations, alongside three recent published research papers, and the contact information / recommendation letters of three referees. Review of applications will commence as soon as possible and continue until June 30, 2026 or until the posts is filled, whichever is earlier. Those who have responded to the previous advertisement (Ref.: 533072) need not re-apply. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Salary

Competitive salary

Posted

9 Jan 2026

Subjects Taught at Université Libre de Bruxelles

See below for a range of subjects taught at Université Libre de Bruxelles

Arts and Humanities

  • Archaeology
  • Architecture
  • Art, Performing Art and Design
  • 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