Phd Position In Knowledge Representation And Reasoning / Artificial Intelligence, Tu Graz (# Of Pos: 2)

Universities and Institutes of Austria

Austria

September 30, 2022

Description

  • Organisation/Company: Graz University of Technology
  • Research Field: Computer science › Informatics Mathematics › Mathematical logic
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 30/09/2022 23:00 - Europe/Athens
  • Location: Austria › Graz
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 40
  • The recently created Knowledge Representation and Reasoning (KRR) group at the Institute of Software Technology, Graz University of Technology, offers

    a funded PhD student position

    within knowledge representation and reasoning, and with a particular focus in the field of Computational Argumentation in 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 project, 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 representational aspects, such as preference handling and explainability, to computational aspects, such as complexity analysis and algorithmic solutions for challenging (NP-hard) reasoning tasks.

    We are looking for motivated and talented applicants with 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, e.g., computational complexity theory,
  • graph theory, discrete mathematics, or
  • strong implementation skills motivated by challenging combinatorial problems and interest in theory.
  • The position is funded by the Austrian Science Fund (FWF), full-time, and fixed-term for three years. The contract 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 (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 and a list of subjects studied (together with grades), and
  • other relevant documents (e.g., recommendation letters)
  • 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.

    Deadline for applications is September 30, 2022.

  • Contact Johannes P. Wallner: https: // www. tugraz.at/institute/ist/research/group- wallner/people/johann...
  • 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/
  • Offer Requirements Skills/Qualifications

    We are looking for motivated and talented applicants with 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, e.g., computational complexity theory,
  • graph theory, discrete mathematics, or
  • strong implementation skills motivated by challenging combinatorial problems and interest in theory.
  • Contact Information
  • Organisation/Company: Graz University of Technology
  • Department: Institute of Software Technology
  • Organisation Type: Higher Education Institute
  • Website: https: // www. tugraz.at/institute/ist/research/group- wallner/jobs/
  • E-Mail: johannes.p.wallner@tugraz.at
  • Country: Austria
  • City: Graz
  • State/Province: Styria
  • Postal Code: 8010
  • Street: Inffeldgasse 16b/II
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