The Knowledge Representation and Reasoning (KRR) group at the Institute
of Software Technology, Graz University of Technology, offers
two funded PhD student positions
in the field of Computational Argumentation within Artificial Intelligence.
Central aims of Computational Argumentation are to investigate
representations of arguments, study their relationships, and perform
automated argumentative reasoning, with application domains, e.g., in
medical or legal reasoning, and eXplainable Artificial Intelligence (XAI).
With the PhD projects, we will advance the state of the art of
foundational research on the complex reasoning process underlying
argumentation. You will work on tasks ranging from deep theoretical
understanding, such as complexity analysis, to algorithmic solutions for
challenging reasoning problems.
We are looking for motivated and talented applicants with very good
university degrees (MSc or equivalent) in Computer Science or
Mathematics (or comparable fields), and with solid background in one or
more of:
-logic, knowledge representation and reasoning, non-monotonic reasoning,
-logic programming, answer set programming, Boolean satisfiability,
-formal methods in computer science, particularly computational
complexity theory,
-graph theory, discrete mathematics, or
-strong implementation skills motivated by challenging combinatorial
problems and interest in theory.
The positions are funded by the Austrian Science Fund (FWF), full-time,
and fixed-term for three years. The contracts will be under the
collective agreement for university employees at TU Graz. Candidates
should be independent in organising their work, keen on working with
teams of experts of project partners, and fluent in English, oral and
written. Starting time can be as soon as possible, but some degree of
flexibility is possible.
An inclusive environment and balancing family and career are important
aspects to the group and university. We encourage women to apply.
Applications with
-a full curriculum vitae,
-a statement of your research interest,
-your Master's thesis (or a description of your MSc thesis) and a list
of subjects studied (together with grades), and
-other relevant documents
should be sent electronically to Assistant Professor Johannes P.
Wallner, if possible as a single pdf file. In case of questions, don't
hesitate to contact Wallner for more information.
-Contact Johannes P. Wallner:
https://www.tugraz.at/institute/ist/research/group-wallner/people/johannes-peter-wallner/
-Group webpage: https://www.tugraz.at/institute/ist/research/group-wallner/
-This call for applications:
https://www.tugraz.at/institute/ist/research/group-wallner/jobs/
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