Machine Learning for Complex Networks

Open Positions

Below you can find information about open positions at our Chair. All open positions are in the Würzburg lab. We do not hire new personell in our Zurich lab.

Moreover, please note that - as a general rule - we do not offer internships (see exceptions below).

Postdoc and Senior Researcher Positions

Starting in the second half of 2024, we will have an opening for a postdoc position (100 % employment level, TV-L E13 or E14 grade depending on qualification) to work on machine learning for complex networks, with possible applications in software engineering, biology, and ecology.

Successful applicants most hold a PhD degree in a field that is clearly related to AI, data or network science, e.g. computer science, mathematics, engineering, natural sciences. Suitable candidates have further demonstrated their ability to publish research in leading venues of machine learning, network science, and/or data science (either in high-quality international conferences or interdisciplinary journals). Excellent writing and communication skills in English are a must. German language skills and experience in teaching or student supervision is considered a plus. We welcome applications from all qualified candidates, irrespective of gender, disability, marital or parental status, nationality or ethnicity.

Interested applicants shall send the usual application documents (motivation letter, curriculum vitae, publication list, certificates, name of potential references) to Prof. Dr. Ingo Scholtes while citing the reference code ML4Nets_PD_24 in the subject of your E-Mail. All documents must be submitted in PDF format. Complete applications will be reviewed on a rolling basis until the position is filled.

Internships and Research Visits

As a general rule, we do not host internships. Exceptions are only made in special cases that are justified, e.g. by an existing collaboration or a specific research topic that promises synergies between the visiting student and one or members of our team.

If you fall in this exceptional category, you are welcome to contact us. Please send the usual documents (CV, grade transcript, name of a potential reference) as well as a motivation letter that clearly motivates why you want to specifically work with us, to Prof. Dr. Ingo Scholtes, while citing the reference code ML4Nets_Intern_23 in the subject of your E-Mail. All documents must be submitted in PDF format.

We kindly ask you for your understanding that - due to the large volume of requests and applications that we receive - we do not have the capacity to answer requests for internships or guest stays unless they fulfill the criteria mentioned above.