Duties: The doc.funds project "Discrete Mathematics in Pairs" offers 12 PhD positions in Graz, Austria. These positions are funded by the Austrian Science Fund (FWF) for up to four years and are available from Oct 1, 2024. The gross salary for the position is 34500 Euro per year
Requirements: PhD students are required to hold a master degree in Mathematics or another relevant field when they begin in our graduate school. Applicants who will finish their master degree in 2024 can apply and should report on their progress in their application

Duties: Graz University of Technology is a public research university located in Styria, Austria. It was founded in 1811 and is the oldest science and technology research and educational institute in Austria. It currently comprises seven faculties and is a public university. It offers 19 bachelor's and 35 master's study programmes (of which 18 are in English) across all technology and natural sciences disciplines
Requirements: We crawl all higher jobs in research, teaching and administration at TU Graz automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duration: 4 y       
Workload: 100%
Duties: Betreuung und Abhaltung von Übungen im Bereich der angewandten und numerischen Mathematik (Bakkalaureat und Master Mathematik, Service); Analysis und Numerik partieller Differentialgleichungen, Mitarbeit in Drittmittelprojekten; Mitarbeit in der Administration des Instituts (selbständige Reiseadministration, Organisation von Workshops....etc.); Fertigstellung der Dissertation
Requirements: Abgeschlossenes Universitätsstudium in Mathematik Kenntnisse in der Analysis und Numerik partieller Differentialgleichungen, Programmierkenntnisse

Duties: The goal of the project is to develop new algorithms for container loading problems. The task there is to find an efficient placement of boxes into transport containers such that special loading constraints (e.g., box stacking rules, weight distribution rules, rules about the placement location of dangerous goods) are satisfied. A special focus within this project will be on achieving more efficient and greener transports
Requirements: The candidates must have a master degree (or equivalent in mathematics or a related field with a sound mathematical background by October 2024. Due to the applied character of the project some experience in coding and an interest into optimization problems are an absolute requirement. A solid background in optimization, prior experience with C/C++ or Python, knowledge of MIP solvers and familiarity with machine learning are a plus