PhD Position – Reliable Wireless Communications and Situational Awareness in Integrated Sensing and Communication 6G Networks (all genders) // Job-ID: 204-1
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Silicon Austria Labs
Silicon Austria Labs: Entdecken Sie Spitzenforschung bei SAL – Österreichs Zentrum für elektronikbasierte Systeme mit Standorten in Graz, Villach und Linz
This PhD position is part of the MSCA-DN ISAC-NEWTON project, hosted by Silicon Austria Labs, and includes enrolment on the Doctoral Program at Technische Universität Wien.
We are inviting applications for a PhD position focused on developing high-accuracy predictive algorithms and situational awareness strategies for indoor industrial environments. The research will involve exploring the combined use of real-time sensing data and communication signals to improve operational capabilities such as precise localisation, obstacle detection and avoidance, and robust predictive modelling using advanced machine learning techniques.
A central objective of the project is to predict the future behaviour of communication systems in dynamic industrial environments and integrate these insights into a digital twin framework. Fusing real-time sensor data with current network conditions will enable the digital twin to make anticipatory decisions, allowing for the early detection of potential connectivity issues, proactive adjustments to path or speed, and the real-time optimisation of system performance.
The outcomes of this research are expected to contribute significantly to the development of reliable, intelligent and adaptive automation solutions for industrial environments operating with 6G technology.Eligibility Requirements:
Submission deadline: 14 August 2025
We are inviting applications for a PhD position focused on developing high-accuracy predictive algorithms and situational awareness strategies for indoor industrial environments. The research will involve exploring the combined use of real-time sensing data and communication signals to improve operational capabilities such as precise localisation, obstacle detection and avoidance, and robust predictive modelling using advanced machine learning techniques.
A central objective of the project is to predict the future behaviour of communication systems in dynamic industrial environments and integrate these insights into a digital twin framework. Fusing real-time sensor data with current network conditions will enable the digital twin to make anticipatory decisions, allowing for the early detection of potential connectivity issues, proactive adjustments to path or speed, and the real-time optimisation of system performance.
The outcomes of this research are expected to contribute significantly to the development of reliable, intelligent and adaptive automation solutions for industrial environments operating with 6G technology.Eligibility Requirements:
- The candidate must not have been awarded a PhD.
- A Master's degree in Electrical Engineering, Computer Science, Telecommunications or a related subject is required.
- The candidate must not have resided in Austria for more than 12 months in the three years prior to their start date of employment. Additionally, candidates must provide evidence of residing outside Austria for the remainder of this period.
- Proficiency in English must be formally demonstrated.
- Knowledge of scientific work methods and an interest in academic research and teaching are required.
- Expertise in one or more of the following disciplines: Telecommunications, machine learning and signal processing.
- Proficiency in C/C++ and Python for embedded systems.
- Ability to work in a team, solve problems and innovate.
- Curriculum Vitae (CV).
- Letter of motivation.
- Certificate(s) of Bachelor's degree(s), with an official English translation if issued in a different language.
- Certificate(s) of Master's degree(s), with an official English translation if issued in a different language.
- Academic transcripts for both undergraduate and postgraduate studies, with an official English translation if the original is in a different language.
- A copy of the Master's thesis.
- At least two reference letters.
- A certificate of English language proficiency.
- Copies of any publications in scientific journals and conference proceedings.
- Any relevant extracurricular certificates demonstrating proficiency in programming languages, as well as prior experience in wireless communications, signal processing and machine learning.
Submission deadline: 14 August 2025
- Diversified research activities with plenty of technical challenges.
- State-of-the-art lab facilities and instruments.
- Internal and external training opportunities for further development.
- Home Office possible.
- € 4 per day food allowance in restaurants or € 2 per day in supermarkets.
- Family- & kids-friendly.
- Free coffee/milk/tea & fresh fruits.
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Tags: Computer Science Engineering Industrial Machine Learning PhD Python Research Teaching
Perks/benefits: Career development
Region:
Europe
Country:
Austria
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