全职学术岗位——工程与计算机科学学院——领域：计算机科学人工智能

JOB REFERENCE: PA270502 Start date: 01/09/2027 The University of Liège is the largest French-speaking public university in Belgium. It employs more than 5,700 staff members across four campuses, including 3,600 active teachers and researchers in all fields of the human and social sciences, science and technology, and health sciences. It hosts nearly 27,000 students of 123 different nationalities in one of the most multicultural and dynamic cities in Europe, less than an hour from Brussels and Cologne, two hours from Paris, and three hours from London and Amsterdam. Actively involved in the social and environmental transition, ULiège supports students to fulfil their roles as responsible citizens (training in sustainable development, Green Office, etc.) and promotes ethical, multidisciplinary and open research. ULiège is committed to the region in which it operates and contributes towards local socio-economic development. It has developed numerous partnerships, notably with the university hospital. International and united, it participates in the European University of Post-Industrial Cities, UNIC initiative and has one of the most extensive collaborative networks in the world. ULiège offers attractive career prospects in a high-quality working environment, promoting well-being, diversity and equality of opportunity. Since 2011, ULiège has been proud to display the European Human resources strategy for researchers (HRS4R) label, which reflects its commitment to open, transparent and merit-based procedures. In addition, it recognises the quality and diversity of research in line with the recommendations of the Coalition for Advancing Research Assessment (CoARA). ULiège encourages its academic staff to travel internationally and welcomes international researchers through its EURAXESS centre. Job description A full-time academic position, indivisible position, in the field of “AI for Computer Science » within the Electrical Engineering and Computer Science (EECS) Department of the School of Engineering and Computer Science. This position includes teaching, research activities and services to the community. Teaching activities The candidate (M/F/X) will teach courses in the field of AI for computer science and, more generally, will participate in teaching activities organized by the Department. The candidate (M/F/X) will teach courses (existing or to be developed) offered in the bachelor’s and master’s programmes in computer science, data science and engineering, more specifically: • DATS0002-1 Data Visualization • AI-assisted Software Engineering (new) • Human-AI Interaction (new) The candidate (M/F/X) may also propose developing courses based on their specific expertise and research. He/She/X will also participate in supervising internships and final projects in their field of research. The teaching load will not exceed 250 hours per year including any practical work and seminars under the responsibility of the teacher). Research activities The successful candidate (M/F/X) will conduct research on methodological developments in artificial intelligence and their integration into computer science practice. The position aligns with the vision of human-centered AI, with a strong foundation in computer science. Priority research areas include: • AI-assisted software engineering: code generation, verification, and maintenance by trained systems; integration of AI components into reliable software architectures. • Multi-agent systems and architectures combining reasoning, information retrieval, and generation. • Human-AI interaction: natural language interfaces, multimodal systems, and new forms of collaboration between humans and machines. • Interpretability and alignment: methods for understanding, explaining, and controlling the behavior of AI systems. • Natural language processing and generation, including conversational agents and generative systems. These areas of research have applications in many fields: software development itself, AI-assisted scientific research, and the design of critical systems. The increase in human-machine interactions also raises questions in social sciences (ethical, legal, psychological, sociological), particularly regarding the collection of personal data and the use of AI in decisions that impact people’s lives. Although the focus of this position is on methodological developments, the successful candidate will be expected to incorporate these issues into their work and develop collaborations with experts in these fields, both within ULiège and externally. Services to the community The successful candidate (M/F/X) will participate in service activities that promote the activities developed within the Department. The successful candidate will be required to: • Ensure that their work is promoted within research networks, companies, public institutions, and various organizations active in their field of expertise. • Contribute to the smooth running of the Department, the School of Engineering and Computer Science, and the University of Liège through its various bodies. • Be active in promoting AI at ULiège. Qualifications required / Profile • Have a PhD in engineering sciences and technology, a PhD in computer science, or equivalent at the time of submission of the application; • Have international research experience and publications in reputable international journals and conferences ; • Be able to teach in English. The ability to teach in French will be an asset. Selection procedure Candidates will be shortlisted on the basis of their applications by a selection committee set up by the School of Engineering and Computer Science. Successful candidates will then be invited to an audition, which will include a sample lesson, a presentation of their research project and a general discussion with the selection committee. In line with the University of Liège's institutional policy of diversity and equal opportunity, applicants are selected on the basis of their qualities, regardless of age, sexual orientation, origin, beliefs, disability or nationality. Applications Applicants are requested to submit their application file electronically, containing all the documents required to the following address: with a copy to Ms. Aurélie Lecca - . To be eligible, applications must be submitted no later than January 4, 2027 at 11:59 pm. (Belgian time). Documents required All the following documents must be submitted by email, in PDF format. • Cover letter. • Curriculum vitae, • Copies of diplomas and certificates. • A report on past and current research activities, including a list of the five main publications and a description of their contribution to the state of the art. • A research proposal outlining the activities the candidate wishes to develop, including the proposed integration into the University of Liège, the School of Engineering and Computer Science, and the Department of Electrical Engineering and Computer Science. • A teaching dossier including a report on any previous teaching activities and a teaching proposal. • The names and contact information of three international experts from whom the selection committee may obtain recommendations. If your application is too large, you may send a link. This link must remain accessible for at least one week after the closing date for applications. Conditions of employment The position is awarded either for a fixed term of four years, or, in certain exceptional circumstances, immediately on a permanent basis. If a fixed term contract is awarded, an evaluation will be carried out at the end of the third year. • If the evaluation is negative, the person’s appointment will end after the fourth year. • If the evaluation is positive, the person will be appointed permanently. Information A detailed description of the academic position and work environment is available on the faculty website Any information concerning academic activities can be obtained from the Professor Philippe VANDERBEMDEN – tel.: +32 (0)4 366 26 70 – Additional information may be obtained from: Ms Aurélie Lecca, Administrative Director of the School of Engineering and Computer Science – tel.: +32 (0)4 366 94 68 – Remuneration Basic appointments are made at the grade of lecturer. The gross monthly salary at the start of the scale (on a full-time basis) is currently €6,314.51 (reference index: September 2026), to which is added an end of year allowance (in December) and a holiday allowance (in June). In exception circumstances, the Faculty may submit a substantiated application to obtain a higher grade in the salary scale (length-of-service bonus). The career of full-time teaching staff includes the grades of lecturer, professor, and full professor. Career development (after the recruitment grade) is possible through the promotions’ procedure, the terms and conditions of which are defined by the Board of Directors. Please contact the Human Resources department for further information on careers, salary scales, and the terms and conditions of their application: Ms Valérie MELOTTE – Benefits • “Statutory” position which can lead to a public sector pension if the appointment is permanent. • Financial contribution to private relocation expenses. • Possibility of assistance with access to the labour market for partners. • University of Liège professional relocation allowance of €2,500 for a full-time position. • Start-up budget for research activities of €15k. • Integration within the EECS Department, benefiting from the corresponding local services. • Initial and ongoing teaching training provided by the Institut de Formation et de Recherche en Enseignement (IFRES). • Wide range of training courses available. • Welcome seminar and introduction to the bodies and operations of the Université of Liège (two-and-a-half days in September). • Meal vouchers with a face value of €5 per working day. • Full refund of public transport costs between the home and the workplace. • Flat-rate payment for travel by bicycle. • Call for proposals for the allocation of teaching and research credits. • Help with setting up research projects. • Preferential rate for registration for a ULiège course, also applicable to children. • Possibility of preferential conditions for taking out private insurance. • Preferential rates and reductions in a wide range of fields - shops, leisure, culture, training, sport, etc. (Benefits at Work). 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