Predoctoral Researcher: Wireless Networks & Teaching

AAU

Klagenfurt am Wörthersee

On-site

EUR 48,000 - 58,000

Full time

14 days+

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Benefits offered by this job

Flexible working hours
Remote options
Non-working days on Dec 24, Dec 31, &
Company pension contribution

Job summary

The University of Klagenfurt invites applications for a predoc university assistant in the Mobile Systems Group. You will conduct research on future networked systems with a focus on wireless sensing or resilience, and pursue a doctoral degree while teaching exercises and labs in the ICE and Robotics & AI programs.

The role blends research with teaching, mentoring students, and helping with department activities.

Qualifications

  • Diploma or Master’s degree in information and communications engineering or closely related field.
  • Knowledge in at least three areas among wireless sensing, networks, resilience, simulation, and stochastic analysis.
  • Advanced programming skills in Python, C/C++, or R; Java or C# acceptable as alternative.
  • Fluent in written and spoken English.
  • Strong scientific writing and presentation abilities.

Responsibilities

  • Conduct research on future networked systems with emphasis on wireless sensing or resilience.
  • Engage in independent work toward a doctoral degree in Technical Sciences.
  • Teach exercises and labs in ICE and related programmes; assist in courses listed in the posting.
  • Mentor students and contribute to department and PR activities.
  • Collaborate on research projects and maintain research databases.

Skills

Wireless sensing
Network resilience
Simulation tools
Stochastic analysis
Python/C/C++/R programming
English proficiency
Scientific writing

Education

Diploma or Master’s in Information and Communications Engineering

Tools

Python
C/C++
R

Job description

The University of Klagenfurt invites applications for a predoc university assistant in the Mobile Systems Group. You will conduct research on future networked systems with a focus on wireless sensing or resilience, and pursue a doctoral degree while teaching exercises and labs in the ICE and Robotics & AI programs.

The role blends research with teaching, mentoring students, and helping with department activities.

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