The Universität Passau is a vibrant and international academic community that offers an attractive environment for professionals to grow. We are committed to providing our staff with a rewarding experience.
Job Details
This is a part-time (75% of full-time) position for one year, with the option to increase working hours to full-time. The successful candidate will plan, administer, and deliver classes of approximately 3.5 teaching contact hours per week.
About Us
We are a research-driven university that combines state-of-the-art technical infrastructure with award-winning architecture. Our campus is located near the historical Old Town of Passau and offers a great work climate in a family-friendly environment.
Key Responsibilities
* Plan and deliver classes of approximately 3.5 teaching contact hours per week.
* Collaborate on research regarding sampling of distributions, analysis of Markov chain Monte Carlo methods, Bayesian inference, and algorithmic design.
* Organize and support conferences, sessions, workshops, and grant proposals.
Requirements
* A doctorate in mathematics, statistics, machine learning, or a related field.
* Strong theoretical background in at least one of the following areas: Markov chain Monte Carlo, quasi-Monte Carlo, stochastic processes, Bayesian inference, numerical benchmarking.
What We Offer
We offer a remuneration package in accordance with pay grade E13 of the German public-sector collective agreement TV-L, with the salary step depending on qualifications and experience. You will also enjoy a great work climate in a family-friendly environment.
The University of Passau wishes to increase the proportion of its female staff and encourages women to apply for this position. This position is suitable for candidates with disabilities, and registered disabled candidates are given preference over non-disabled applicants if their overall personal aptitudes, skills, and qualifications are equal.