University Assistant Predoctoral (Mobile Systems)
Join the Mobile Systems Group at the University of Klagenfurt to pursue a PhD in networked and embedded systems.
Best for:Best for Master's graduates in engineering with a strong background in wireless communications, network protocols, or stochastic modeling.
Overview
The University of Klagenfurt is seeking a motivated predoctoral university assistant to join the Mobile Systems Group within the Institute of Networked and Embedded Systems. The successful candidate will conduct independent research in wireless sensing or network resilience while working toward a doctoral degree in Technical Sciences. In addition to research, the role involves teaching responsibilities in Bachelor’s and Master’s programmes and participation in departmental administrative tasks. This position offers a collaborative, international environment with opportunities for professional development and flexible working arrangements.
What you'll do
- Conduct independent scientific research in wireless sensing or network resilience.
- Prepare and submit a dissertation to obtain a doctoral degree in Technical Sciences.
- Teach exercise and laboratory courses in Information and Communications Engineering and Robotics.
- Participate in departmental research projects and collaborative activities.
- Assist with administrative and organizational tasks, including website maintenance and workshop coordination.
- Mentor and co-advise students within the department.
- Engage in public relations and dissemination activities for the faculty.
Requirements
Degree required: Master’s or Diploma degree in Information and Communications Engineering, Electrical Engineering, Computer Engineering, or a closely related field.
Degree offered: PhD
Language: English (fluent); German proficiency is a plus for teaching.
Instruction: English
- Fundamental knowledge in at least three of: wireless communications, network protocols, network resilience, network simulation, or mathematical analysis of networks.
- Advanced programming proficiency in Python, C/C++, or R.
- Excellent scientific communication skills, including technical writing and oral presentation.
- Fluency in written and spoken English.
- Must hold a Master’s or Diploma degree by December 28, 2026.
- Must not have already completed a doctoral degree or equivalent PhD programme.
Funding & terms
How to apply
Deadline: 2026-11-18
Applications must be submitted via the university's online job portal. Candidates must provide a letter of application, a CV, copies of degree certificates, and evidence of relevant qualifications or thesis work.
- Letter of application
- Curriculum vitae
- Bachelor and Master degree certificates
- Academic transcripts
- Final thesis or study-related written work
- Proof of qualifications
Contact
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