Predoctoral University Assistant in Communication Engineering
Join a dynamic research group at Alpen-Adria Universität Klagenfurt to pursue a PhD in machine learning, communication systems, or electronic-based systems.
Best for:Best for recent Master’s graduates in electrical engineering, computer engineering, or related fields with a strong background in machine learning, signal processing, or communication systems.
Overview
This PhD position at the Institute of Networked and Embedded Systems (NES) at Alpen-Adria Universität Klagenfurt offers a multidisciplinary research opportunity in communication engineering. The successful candidate will conduct independent research tailored to their expertise, with a focus on machine learning, communication systems, or electronic-based systems. The role includes teaching, mentoring students, and contributing to departmental administrative tasks. The position is part of a structured PhD programme, with the goal of completing a doctoral degree in Technical Sciences. The research aligns with cutting-edge projects in machine learning, wireless communication, and embedded systems, offering collaboration with international partners.
What you'll do
- Conduct independent research in one of three domains: machine learning (applied to communication, energy, biomedical, or computer vision systems), communication systems and signal processing (wireless, power line communications), or electronic-based systems (circuits and systems for communications).
- Develop and submit a dissertation to obtain a doctoral degree in Technical Sciences.
- Teach courses in the field of electrical and computer engineering.
- Participate in administrative and organizational tasks within the department.
- Mentor and guide undergraduate and graduate students.
- Assist with public relations activities for the department and faculty.
Requirements
Degree required: Master’s degree (or equivalent) in electrical engineering, information and communications engineering, computer engineering, or a closely related field from a recognized university.
Degree offered: PhD
Language: English; fluency in written and spoken English required.
Instruction: English
- Fluency in written and spoken English.
- Experience in three or more of the following: machine learning, signal/data processing, communications theory, information theory, circuits and systems theory, control theory, wireless communications, power line communications, or smart grids.
- Completed courses or projects in the specified research domains.
- Academic theses in one of the specified research domains.
- Strong foundation in engineering mathematics and statistics.
- Programming skills in C/C++, Python, MATLAB, LabVIEW, GNU Radio, VHDL, HFSS, CST, or ADS.
- Applicants must not already hold a doctoral degree in the subject-specific field or a relevant PhD.
- No specific nationality or residency restrictions mentioned, but proof of qualifications must be furnished by the application deadline.
Funding & terms
How to apply
Deadline: 2026-10-14 (Europe/Vienna)
Applicants must submit their application via the university’s job portal. The application must include a one-page letter of motivation indicating the research domain of interest, a CV, copies of degree certificates and transcripts, the Master’s thesis, and any certificates proving fulfillment of required qualifications. Applications must be submitted in German or English by the deadline.
- One-page letter of motivation indicating research domain of interest
- Curriculum Vitae with detailed academic and professional experience
- Copy of Bachelor and Master degree certificates
- Copy of official transcripts for Bachelor and Master degrees
- Master’s thesis (or draft/explanation if unavailable)
- Certificates proving fulfillment of required qualifications (e.g., publications, programming skills, language skills)
Contact
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