Project Assistant Post-Doc AI-Enhanced 6G (40-hours/week, limited to 2 years)

TU Wien; Österreich; Hybrid; EUR 50 000 - 65 000; Vollzeit

Zusammenfassung

A leading technical university in Austria is seeking a Project Assistant (Post-Doc) for a research project focused on AI-enhanced wireless communication systems. Candidates should have a PhD in relevant fields and research expertise in areas such as wireless communications and AI/ML. This full-time role offers an excellent research environment and social benefits, with a hybrid working setup available.

Leistungen

Creative environment

Excellent research opportunities

Range of attractive social benefits

Hybrid working environment

Qualifikationen

• Strong publication track record in wireless communication systems or machine learning.
• Ability to work independently and co-supervise PhD students.
• Excellent command of English, both written and spoken.

Aufgaben

• Conduct research on AI-enhanced 6G mobile wireless communication systems.
• Develop scalable hierarchical learning methods for wireless systems.
• Supervise Bachelor, Master, and PhD students.

Kenntnisse

Wireless communications and signal processing

AI/ML for communication systems

Self-supervised ML, meta learning

PHY/MAC optimization of wireless communication systems

Robust, reliable, or explainable ML

Scientific software development (Python/ML stack, MATLAB)

Large-scale simulation frameworks

Ausbildung

PhD in Electrical Engineering and Information Technology

PhD in Computer Science / Informatics

Jobbeschreibung

Organisation/Company TU Wien Department Institute of Telecommunications Research Field Engineering » Communication engineering Computer science » Informatics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Austria Application Deadline 31 Jan 2026 - 23:59 (Europe/Vienna) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

At the Institute of Telecommunications, Research Unit Wireless Communication, TU Wien is offering a 40-hours/week position as a Project Assistant (Post-Doc) financed from a research project (ESSENCE) funded by the Vienna Science and Technology Fund (WWTF), limited to 2 years - with a possible extension by an additional 6 months. Expected start: June to September 2026.

Background on research project ESSENCE: Efficient Self-Supervised Machine Learning for Adaptive Wireless Communication Systems

This project investigates self-supervised learning (SSL) for wireless communication systems to improve the adaptability, efficiency, robustness, and scalability of next-generation networks. While deep neural networks tailored for specific tasks have shown strong performance, advances in fields such as natural language processing and computer vision reveal the even greater potential of general-purpose foundation models. These models, pre-trained by SSL on diverse datasets and fine-tuned for specific tasks, offer superior generalization and transferability with minimal human intervention. By leveraging channel state information (CSI), this project aims to realize SSL techniques for wireless systems, with a particular focus on optimization tasks at the physical (PHY) and medium access control (MAC) layers, laying the groundwork for compact, locally deployable, and adaptive foundation models capable of sustainably addressing the growing complexity of modern wireless networks. https://www.wwtf.at/funding/programmes/ict/ICT25-005

• PhD in Electrical Engineering and Information Technology (Communications) or PhD in Computer Science / Informatics (AI/ML Systems) or an equivalent field.
• Research expertise in two or more of the following areas:
  • Wireless communications and signal processing
  • AI/ML for communication systems
  • Self-supervised ML, meta learning
  • PHY/MAC optimization of wireless communication systems
  • Robust, reliable, or explainable ML
• Experience with large-scale simulation frameworks or HPC/GPU-accelerated ML.
• Proficiency in scientific software development (Python/ML stack, MATLAB for wireless simulation, reproducible workflows, version control).
• Strong publication track record in wireless communication systems, machine learning, or related fields.
• Ability to work independently and co-supervise PhD students.
• Excellent command of the English language, both written and spoken.

Languages ENGLISH Level Excellent

Languages GERMAN Level Basic

Additional Information

We offer:

• A creative environment in one of the most livable cities in the world.
• Excellent research opportunities in a thriving research area.
• A range of attractive social benefits (see Benefits ).
• Internal and external training opportunities and various career options.
• Central location of the workplace as well as good accessibility (U1/U4 Karlsplatz).
• Hybrid working environment with up to 60% home office.

Additional comments

• Conduct research on AI-enhanced 6G mobile wireless communication systems, with
  emphasis on PHY and MAC layer methodologies.
• Develop scalable hierarchical learning methods for wireless systems, integrating selfsupervised
  adaptation with cross-level knowledge transfer.
• Publish research results in leading journals and conferences and contribute to collaborative
  scientific dissemination activities.
• Supervise Bachelor, Master, and PhD students, particularly in thesis projects, and support
  collaborative research within the group.
• Contribute to the development of follow-up research proposals and funding applications.
• Contribute to teaching and curriculum-related activities in the areas of communications and
  machine learning.
• Deepen and broaden scientific expertise through independent research and engagement
  with current literature.
• Support organizational, administrative, and project-related tasks within the research group.

Work Location(s)

Number of offers available 1 Company/Institute Institute of Telecommunications, TU Wien Country Austria City Vienna Postal Code 1040 Street Gußhausstraße 25 Geofield