The University of Vienna is offering a PhD position in the area of Graph Learning, supervised by Associate Professor Nils M. Kriege, who leads the Machine Learning with Graphs work group. This opportunity is ideal for candidates with a strong interest in machine learning, graph theory, and mathematical foundations. The research will focus on advanced topics at the intersection of graph theory and machine learning, providing a stimulating environment for academic growth and innovation. The successful applicant will join a vibrant research group at one of Europe's leading universities, engaging in cutting-edge research in graph learning. The position is based in Vienna, Austria, and offers the chance to collaborate with experts in the field. While specific funding details are not provided, university assistant predoctoral positions at the University of Vienna typically include a salary and may offer tuition coverage. Applicants should have a relevant background in computer science, mathematics, or a related discipline, and demonstrate a strong motivation for research in graph learning and machine learning. The application deadline is March 26, 2026. Interested candidates should apply through the University of Vienna's official job portal, following the instructions provided in the application link. Key research areas include graph learning, machine learning, graph theory, and mathematical foundations. This position provides an excellent opportunity for aspiring researchers to develop their expertise and contribute to the advancement of knowledge in these fields.

The University of Vienna invites applications for a PhD position in Graph Learning within the Machine Learning with Graphs research group, led by Professor Nils M. Kriege at the Faculty of Computer Science. This opportunity is ideal for candidates passionate about advancing the boundaries of machine learning, graph theory, and algorithmics. The group focuses on developing innovative methods and learning algorithms for structured data, with applications spanning chemoinformatics, bioinformatics, computer vision, and social network analysis. The research aims to exploit the potential of graph and network data to automate, accelerate, and improve decision-making processes across diverse domains. As a University assistant (predoctoral), you will actively participate in research projects, contribute to scientific publications, and present your findings at international conferences. You are expected to finalize your dissertation agreement within 12 months and work towards completing your doctoral thesis. The role also includes independent teaching responsibilities and administrative tasks in line with the university's collective bargaining agreement. Applicants must hold a completed Master's degree or Diploma in computer science or a related field. Candidates nearing completion of their studies are welcome to apply, but hiring is contingent upon degree completion. Essential qualifications include a solid background or strong interest in machine learning, graph theory, and their mathematical foundations, as well as solid programming skills and familiarity with machine learning libraries (or willingness to learn). Excellent English proficiency and teamwork skills are required. Additional desirable qualifications include experience in research methods, academic writing, and teaching. The University of Vienna offers a supportive and inspiring international academic environment, flexible working hours with partial remote work, excellent public transport connections, and access to over 600 free internal training courses. The base salary is EUR 3,776.10 (full-time basis; 14 payments per year), with increases for credited professional experience. The initial employment duration is 1.5 years, automatically extended to 3 years unless terminated within the first 12 months, and may be extended up to 4 years with satisfactory progress. Application documents include an academic CV, letter of motivation (with ideas for a prospective doctoral project), abstract of your master's thesis, degree/diploma certificates, transcript of records, and a list of publications or evidence of teaching experience if available. The University of Vienna is committed to equal opportunities, diversity, and the advancement of women, and encourages qualified female candidates to apply. The application deadline is March 26, 2026. For further information or questions, contact Prof. Nils M. Kriege at [email protected]. Apply online via the provided application link to join a vibrant research community and contribute to cutting-edge developments in graph learning and machine learning.