Financial and Actuarial Mathematics, TU Wien, Austria TU Wien FAM


The Vienna Graduate School on Computational Optimization (VGSCO) is a joint research and training program of the University of Vienna, TU Wien, IST Austria and Vienna University of Economics and Business funded by the Austrian Science Funds (FWF). Its main goal is to give PhD candidates a comprehensive training in different areas of optimization with special emphasis on algorithmic and numeric aspects. It fosters scientific collaboration between the PhD students and their advisors representing a broad spectrum of topics and areas in the field of optimization.

The VGSCO currently announces 9 PhD positions each associated with one of the participating institutions, in the following areas:

  1. Large-Scale Optimization for Machine Learning (IST Austria, Supervisor: Dan Alistarh)
  2. Conic Relaxations and Fast Primal Methods for MINLP (University of Vienna, Supervisor: Immanuel Bomze)
  3. Numerical Algorithms for Nonsmooth Optimization (University of Vienna, Supervisor: Radu Ioan Bot)
  4. Efficient Combinatorial Optimization Algorithms (University of Vienna, Supervisor: Monika Henzinger)
  5. Complexity of Discrete Optimization (IST Austria, Supervisor: Vladimir Kolmogorov)
  6. Automated Algorithm Selection and Configuration (TU Wien, Supervisor: Nysret Musliu)
  7. Optimization Methods in Data Science, with Applications to Molecular Chemistry (University of Vienna, Supervisor: Arnold Neumaier)
  8. Hybrid Methods for Combinatorial Optimization (TU Wien, Supervisor: GŁnther Raidl)
  9. Multivariate Dynamic Programming and Mathematical Finance (Vienna University of Economics and Business, Supervisor: Birgit Rudloff)

The successful candidates will become members of the Vienna Graduate School on Computational Optimization and must actively contribute to its activities. The VGSCO offers lecture series given by international experts in optimization related fields, organizes research seminars, retreats, soft skills courses, scientific workshops, and social events, provides travel grants, and supports research stays abroad. The duration of the employment is of 3 years with possibility of extension. The planned start of the positions is autumn 2020. Female candidates are encouraged to apply.

Application Requirements and Procedure

The candidates must have a master degree (or equivalent) in Mathematics, Computer Science, Computational Science, Data Science, Operations Research or Statistics (depending on the position(s) they apply for) at the moment the PhD position starts. The application documents should contain a letter of motivation; the scientific CV with publication list, if available; higher education certificates/diplomas; the diploma/master thesis and letter(s) of recommendation. Applications have to be submitted at: The deadline for applications is June 15, 2020.

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