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Intern
    Machine Learning for Complex Networks

    Open Positions

    Below you can find information about open positions at our Chair. Please note that all open positions are in the Würzburg lab. We currently do not hire new personell in the Zurich lab, nor do we accept applications for (summer) internships or stays in our Zurich lab.

    If you are a young international researcher and are interested to get to know our team and start a collaboration, please consider applying to our Junior Researcher in Residence Programme (see below).

    Postdoc and Senior Researcher Positions

    We currently 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 computational social science and empirical software engineering.

    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_22 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.

    PhD Student Positions

    We currently have an open position for a PhD student (100 % Employment level, TV-L E13 grade) to complement our research group working on Machine Learning for Complex Networks.

    Successful applicants must hold an excellent MSc degree (or equivalent, e.g. Diploma) in an AI-related discipline, e.g. computer science, mathematics, engineering, computational social science, or natural sciences. Excellen language skills in either English or German are a precondition for this position. A MSc thesis topic that shows a clear relation to machine learning, network science, or computational social science 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 documents (motivation letter, curriculum vitae, MSc thesis, grade transcript and certificates, name of possible references) to Prof. Dr. Ingo Scholtes, while citing the reference code ML4Nets_RA_22 in the subject of the E-Mail. All documents shall be submitted in PDF format.

    Student Assistants

    We currently have multiple open positions for student assistants to support us in the development of the python network analysis package pathpy, e.g. by implementing basic network analysis algorithms, development of unit tests, preparation of tutorials, or completing documentation.

    The ideal candidates for this position have programming experience in python, are proficient with jupyter notebooks, and have worked with standard data science and numerical computing packages like sklearn, pandas, numpy, scipy, or numba. Work hours are negotiable. The completion of one of our MSc-level courses on Statistical Network Analysis or Machine Learning for Complex Networks is considered a plus. We welcome applications from all qualified candidates, irrespective of gender, disability, marital or parental status, nationality or ethnicity. However, the positions are restricted to students studying at University of Würzburg.

    Interested students shall send a brief motivation statement, a curriculum vitae, and a grade transcript (all in PDF format) to Prof. Dr. Ingo Scholtes via E-Mail.

    Internships

    As a general rule, we do not offer research internships. Exception are 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 members of our team. If you believe that you fall in this exceptional category, you are welcome to contact us. Please send the usual documents (motivation explaining why you want to specifically work with us, grade transcript, name of a potential reference), while citing the reference code ML4Nets_Intern_22 in the subject of your E-Mail. Documents should be submitted in PDF format. Please also consider our Junior Researchers in Residence Programme.

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

    Junior Researcher in Residence Programme

    Apart from the openings above, we have created an annual Junior Researcher in Residence programme that targets excellent international young researchers working in the area of machine learning for networks. Selected candidates will receive a grant to travel to Würzburg and will be offered free housing for a period between one and three months between July and October each year. They will further be assigned an office and get access to the resources available at our Chair.

    Suitable candidates have either recently completed an MSc degree, or are already in an advanced stage of their PhD studies. Interested candidates should submit a short proposal of max. three pages, in which they describe a concrete research project that they wish to conduct during their stay, along with the proposed dates of the stay, a curriculum vitae and grade transcripts/certificates (all documents in PDF format). Applications shall be submitted via E-Mail to Prof. Dr. Ingo Scholtes, citing the reference code ML4Nets_JRIR in the subject of the E-Mail.

    We welcome applications from all qualified candidates, irrespective of gender, disability, marital or parental status, nationality or ethnicity. Submitted research proposals will be evaluated based on originality, relevance to our research group, potential impact, as well as feasibility given the targeted duration of the stay. This is an annually recurring call, the deadline for applications for any given summer period is March 1st of the same year. Successful applicants will be notified by April 15th.

    Our goal is to host one junior researcher each summer. However, we reserve the right to not accept any of the applications if we consider the submitted proposals to either be infeasible or not suitable for our Chair.