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Universitätsassistent:in (Doktorand:in) im Bereich vernetzte Systeme

Austrian Science Fund (FWF) · Forschung & Wissenschaft

Zusammenfassung

Diese Stelle ist für eine Universitätsassistent:in (Doktorand:in) am Institut für vernetzte und eingebettete Systeme, mit Schwerpunkt auf Forschung in zukünftigen vernetzten Systemen, insbesondere drahtlose Sensorik oder Ausfallsicherheit in Netzwerken. Die Rolle beinhaltet unabhängige wissenschaftliche Arbeit zur Erstellung einer Dissertation, die Lehre von Übungs- und Laborveranstaltungen sowie die Teilnahme an Forschungsprojekten und administrativen Aufgaben.

Eckdaten

Status
Verfügbar
Standort
Klagenfurt
Vertrag
Vollzeit
Vertragsdauer
48 Monate
Arbeitszeit
40 Std./Woche
Arbeitsmodell
Vor Ort
Startdatum
11. Januar 2027
Level
Einsteiger
Ausbildung
Master
Bewerben bis
2026-11-18
Sprachen (erforderlich)
  • Deutsch
  • EnglischVerhandlungssicher
Geforderte Kenntnisse
  • Python
  • C/C++
  • R
  • Java
  • C#
  • Drahtlose Kommunikation und Sensorik
  • Kommunikationsnetze und -protokolle
  • Ausfallsicherheit in Netzwerken
Benefits
  • 13. und 14. Gehalt
Gehalt
€52.9k/yr

Vollständige Beschreibung

Work where science meets quality of life: The University of Klagenfurt is a dynamic and internationally oriented university in the heart of the Alps‑Adriatic region. With around 1,700 employees and 13,000 students, we combine an excellent research climate, innovative teaching, and an open, appreciative culture. Our core values – equality, diversity, health, sustainability, and the compatibility of work and family – shape our daily interactions.

The following position will be filled at the Department of Networked and Embedded Systems, Mobile Systems Group, at the Faculty of Technical Sciences. The starting date is negotiable; the preferred starting date is January 11, 2027; the latest possible starting date is March 1, 2027.

University assistant predoctoral (all genders welcome) (in German: Universitätsassistent:in)

  • Level of employment: 100 % (40 hours/week)
  • Minimum salary: € 52,865.40 per annum (gross); classification according to collective agreement: B1
  • Contract duration: 4 years
  • Application deadline: November 18, 2026
  • Reference code: 306-1/26

Responsibilities – what awaits you

  • Perform research into future networked systems, with emphasis on one of the following two domains: wireless sensing or resilience in networks
  • Perform independent scientific work with the aim to submit a dissertation and acquire a doctoral degree in Technical Sciences
  • Teach exercise and lab courses such as: “Mobile Communications” and “Wireless Networks” in the Master’s programme “Information and Communications Engineering” “Physics for Engineers: Electricity and Magnetism” in the Bachelor’s programmes “Information and Communications Engineering” and “Robotics and Artificial Intelligence”
  • Participate in research projects of the group
  • Participate in administrative and organisational tasks of the department (e.g., website, research database, organisation of workshops)
  • Mentor and co‑advise students
  • Assist in public relations activities of the department and the faculty

Profile (formal requirements)

  • Completed Diploma or Master’s degree from a recognised university in the field of information and communications engineering, electrical and computer engineering, or closely related fields. This requirement must be fulfilled two weeks before the starting date at the latest; hence, the last possible deadline for meeting this requirement is December 28, 2026.
  • Fundamental knowledge in at least three of the following five areas, proven by respective courses (passed with “very good” or “good”) and answers in interview questions: Wireless communications and sensing (e.g., radio propagation, physical layer techniques, Wi‑Fi sensing, integrated communications and sensing) Communication networks and protocols (e.g., Wi‑Fi, cellular, ad hoc networks, sensor networks, medium access, routing, security and privacy, higher layer protocols) Resilience in networks (e.g., resilience analysis, resilience design, fault tolerance, self‑healing, multi‑layer networks, concurrent shocks, resilience metrics, AI for resilience) Simulation of dynamic and stochastic networks (e.g., simulation tools, simulation methodology, emergence, tipping points, performance) Mathematical analysis of dynamic and stochastic networks (network theory, stochastic processes, stochastic geometry, nonlinear dynamics)
  • Advanced programming skills, preferably in Python, C/C++, or R; alternatively in Java or C#
  • Fluent in written and spoken English
  • Very good scientific communication and dissemination skills (scientific writing and oral presentations), i.e., the ability to present with clarity and rigour a technical subject

This position serves the purposes of the vocational and scientific education of graduates of Master’s or Diploma degree programmes and sets the goal of completing a doctoral degree/a Ph.

D. in Technical Sciences.

Applications by persons who have already completed a subject‑specific doctoral degree or a subject‑relevant Ph.

D. programme can therefore not be considered.

The successful candidate will join the Mobile Systems Group led by Professor Bettstetter. They focus on the design, modelling, and analysis of novel techniques for wireless connectivity with applications in telecommunication, mobile robotics and drone systems, and industrial networks.

Teaching activities include lectures, courses, labs, and seminars for the established Bachelor’s programmes “Information and Communications Engineering (ICE)” and “Robotics and Artificial Intelligence” (both in English) as well as for the Master’s programme and doctoral programmes in “Information and Communications Engineering” (in English).

The engagement in teaching was recognised with the Excellence in Teaching Award of the university.

The offices and laboratories are in the modern and well‑equipped Lakeside Science & Technology Park.

We look forward to receiving your application via our Job Portal under the reference code 306-1/26 no later than November 18, 2026.

Candidates must furnish proof that they meet the graduation requirement by the end of the application deadline. However, candidates who fulfil the required qualifications but do not yet possess the required Master’s or Diploma degree can apply, provided they are able to meet this requirement at least two weeks before the preferred starting date. Therefore, the latest possible deadline for meeting this requirement is December 28, 2026.

If you are interested in this position, please apply in German or English providing the following mandatory documents: Letter of application, describing how you fulfil the requirements listed in “Your profile”: Curriculum vitae with clear information about the degrees including date/place/grade, the experience acquired, the thesis title, the list of publications if any, and any other relevant information.

  • Contact: Kornelia Lienbacher (kornelia.lienbacher(at)aau.at)