Predoctoral University Assistant in Networked and Embedded Systems
Join a dynamic research group at Universität Klagenfurt to advance wireless sensing and network resilience while pursuing a PhD in Technical Sciences.
Best for:Best for recent graduates or early-career researchers with a strong background in wireless communications, network protocols, or embedded systems, eager to pursue a PhD while contributing to teaching and collaborative research.
Overview
This position at Universität Klagenfurt offers a predoctoral university assistant role within the Mobile Systems Group at the Department of Networked and Embedded Systems. The successful candidate will conduct cutting-edge research in wireless sensing or network resilience, contribute to teaching at both bachelor’s and master’s levels, and work towards completing a doctoral degree in Technical Sciences. The group, led by Professor Bettstetter, focuses on wireless connectivity, mobile robotics, and industrial networks, with a strong emphasis on experimental and theoretical work. The role is ideal for applicants passionate about networking, embedded systems, and interdisciplinary research in a supportive, international environment.
What you'll do
- Conduct independent research in wireless sensing or network resilience, contributing to the group’s focus on novel techniques for wireless connectivity.
- Develop and submit a dissertation to complete a doctoral degree in Technical Sciences under the supervision of Professor Bettstetter.
- Teach exercise and lab courses in subjects like ‘Mobile Communications,’ ‘Wireless Networks,’ and ‘Physics for Engineers’ at both bachelor’s and master’s levels.
- Participate in ongoing research projects, including simulation, prototyping, and experimental work with wireless systems.
- Assist with administrative tasks such as maintaining the department’s website, research database, and organizing workshops.
- Mentor and co-advise students, contributing to their academic and professional development.
- Support public relations activities for the department and faculty, including outreach and engagement efforts.
Requirements
Degree required: Completed Diploma or Master’s degree in information and communications engineering, electrical and computer engineering, or a closely related field from a recognised university.
Degree offered: PhD
Language: English; fluent written and spoken English required. German is preferred but not mandatory.
Instruction: English (for teaching and supervision)
- Fundamental knowledge in at least three of five specified areas: wireless communications and sensing, communication networks and protocols, network resilience, simulation of dynamic networks, or mathematical analysis of networks.
- Advanced programming skills in Python, C/C++, or R (or alternatively Java or C#).
- Fluent written and spoken English.
- Strong scientific communication and dissemination skills, including the ability to present technical subjects clearly and rigorously.
- Completion of the required degree (Master’s or Diploma) by December 28, 2026, at the latest.
- Applicants must not have already completed a subject-specific doctoral degree or PhD programme.
- Candidates must provide proof of meeting the graduation requirement by December 28, 2026, at the latest.
- Applicants who have not yet received their degree by the application deadline must submit a declaration confirming the feasibility of completing the degree by the specified date.
Funding & terms
How to apply
Deadline: 2026-11-18
Applicants must submit their application via the university’s Job Portal under reference code 306-1/26. The application should include a letter of application describing how the candidate fulfils the requirements, a CV with detailed academic and professional information, copies of degree certificates and transcripts, and any relevant certificates or documents proving qualifications. If the degree is not yet obtained, a declaration from a supervisor or the candidate confirming the feasibility of completing the degree by December 28, 2026, must be provided.
- Letter of application
- Curriculum vitae with detailed academic and professional information
- Copy of Bachelor and Master degree certificates and transcripts
- Certificates proving fulfilment of required and additional qualifications (e.g., publications, programming skills, language skills)
- Final thesis or excerpts of study-related written work
- Declaration confirming the feasibility of completing the degree by December 28, 2026 (if applicable)
Contact
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