logo
See all jobs

Localisation and situational awareness for high reliability in integrated sensing and communication 6G networks

Temporary, Full-time · LINZ
Read job description in:
Your future responsibilities
Join our Horizon Europe Marie Skłodowska-Curie Doctoral Networks project, ISAC-NEWTON: Intelligent Sensing and Communication as Training Network for Perceptive Mobile Networks in 6G. This PhD position is hosted by Silicon Austria Labs GmbH and enrolled in the Doctoral Program at Technische Universität Wien.

This research topic aims to develop prediction and situational awareness algorithms with high accuracy tailored for industrial environments. Through the joint utilization of sensing and communication data, the study will offer various enhancements, including reliable localization and sensing techniques, obstacle detection and avoidance, and advanced machine learning-driven predictive algorithms. 
A key focus will be on forecasting communication properties over a given future time-frame. By analyzing real-time sensing data and network conditions, the research will enable proactive decision-making, including predicting potential communication degradation, optimizing operational adjustments, and dynamically recommending speed or path modifications. This work will contribute to more efficient and resilient industrial automation and connectivity.
Your Scientific responsibilities
Eligibility Requirements:
  1. The candidate must not have been awarded a PhD Degree.
  2. A Master’s Degree is required in Electrical Engineering, Computer Science, Telecommunications, or a related field. 
  3. Candidates must not have resided in Austria for more than 12 months within the three years preceding their employment start date. Additionally, for the remainder of this period, candidates must provide evidence of residing outside Austria.
  4. Proficiency in written and spoken English is required and must be formally demonstrated.
  5. Knowledge of scientific work methods and interest in academic research and teaching.
  6. Expertise in one or more of the following disciplines: Telecommunications, Machine Learning, Signal Processing, Mathematical Optimization.
  7. Proficiency in programming and simulating wireless communication systems, especially with Matlab and/or Python.
  8. Teamwork, problem-solving skills, and innovation capability.
Your profile
Applicants are required to submit the following documents:
  1. Curriculum Vitae (CV).
  2. Letter of motivation.
  3. Certificate(s) of Bachelor's Degree(s), with an official English translation if issued in a different language.
  4. Certificate(s) of Master's Degree(s), with an official English translation if issued in a different language.
  5. Academic transcripts for both undergraduate and postgraduate studies, with official English translations if issued in a different language.
  6. A copy of the Master’s thesis.
  7. At least two recommendation letters.
  8. Certificate of English language proficiency.
  9. Copies of publications (if any) in scientific journals and conference proceedings.
  10. GDPR consent form.
  11. Any relevant extracurricular certificates demonstrating proficiency in programming languages, as well as prior experience in wireless communications, signal processing, and machine learning.
Submission Deadline: April 10, 2025
Important Facts about SAL
  • 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.
This position is advertised in accordance with the collective agreement for employees in non-university research (Research CA). For this position, we offer a 3 years limited contract with the focus on pursuing the PhD. For this position, your monthly salary will be EUR 3.568, paid 14 times a year.
Apply for this job
About us

Silicon Austria Labs (SAL) is a top research center for Electronics and Software Based Systems (ESBS). At three locations (Graz, Villach, Linz), SAL is conducting research along the entire ESBS value chain in the areas of sensor systems, power electronics, intelligent wireless systems, microsystems and embedded systems to develop future-oriented solutions for industrial production, health, energy, mobility, safety and more. SAL brings together key players from industry, science and research and thus valuable expertise and know-how and conducts cooperative, application-oriented research along the value chain. Cooperative projects are co-financed by SAL and enable a fast and unbureaucratic project start. SAL is thus shaping the high-tech location Austria and Europe and developing the future 
 
Innovation is our top priority and so are our employees. We are a family-friendly company and support the compatibility of work and family as much as possible. That is why we have been awarded the Work and Family Certificate until 2026. But we are constantly working on new measures to offer our employees an environment where they feel good, healthy and motivated.

You want to get more SAL insights?
Deine zukünftigen Aufgaben
Join our Horizon Europe Marie Skłodowska-Curie Doctoral Networks project, ISAC-NEWTON: Intelligent Sensing and Communication as Training Network for Perceptive Mobile Networks in 6G. This PhD position is hosted by Silicon Austria Labs GmbH and enrolled in the Doctoral Program at Technische Universität Wien.

This research topic aims to develop prediction and situational awareness algorithms with high accuracy tailored for industrial environments. Through the joint utilization of sensing and communication data, the study will offer various enhancements, including reliable localization and sensing techniques, obstacle detection and avoidance, and advanced machine learning-driven predictive algorithms. 
A key focus will be on forecasting communication properties over a given future time-frame. By analyzing real-time sensing data and network conditions, the research will enable proactive decision-making, including predicting potential communication degradation, optimizing operational adjustments, and dynamically recommending speed or path modifications. This work will contribute to more efficient and resilient industrial automation and connectivity.
Deine wissenschaftliche Verantwortung
Eligibility Requirements:
  1. The candidate must not have been awarded a PhD Degree.
  2. A Master’s Degree is required in Electrical Engineering, Computer Science, Telecommunications, or a related field. 
  3. Candidates must not have resided in Austria for more than 12 months within the three years preceding their employment start date. Additionally, for the remainder of this period, candidates must provide evidence of residing outside Austria.
  4. Proficiency in written and spoken English is required and must be formally demonstrated.
  5. Knowledge of scientific work methods and interest in academic research and teaching.
  6. Expertise in one or more of the following disciplines: Telecommunications, Machine Learning, Signal Processing, Mathematical Optimization.
  7. Proficiency in programming and simulating wireless communication systems, especially with Matlab and/or Python.
  8. Teamwork, problem-solving skills, and innovation capability.
Dein Profil
Applicants are required to submit the following documents:
  1. Curriculum Vitae (CV).
  2. Letter of motivation.
  3. Certificate(s) of Bachelor's Degree(s), with an official English translation if issued in a different language.
  4. Certificate(s) of Master's Degree(s), with an official English translation if issued in a different language.
  5. Academic transcripts for both undergraduate and postgraduate studies, with official English translations if issued in a different language.
  6. A copy of the Master’s thesis.
  7. At least two recommendation letters.
  8. Certificate of English language proficiency.
  9. Copies of publications (if any) in scientific journals and conference proceedings.
  10. GDPR consent form.
  11. Any relevant extracurricular certificates demonstrating proficiency in programming languages, as well as prior experience in wireless communications, signal processing, and machine learning.
Submission Deadline: April 10, 2025
Apply for this job
Über uns
 
Silicon Austria Labs GmbH (SAL) ist Österreichs Spitzenforschungszentrum für elektronikbasierte Systeme – sie sind das technologische Rückgrat der Digitalisierung. An den Standorten Graz, Villach und Linz wird in den Bereichen Sensor Systems, Power Electronics, Intelligent Wireless Systems, Microsystems und Embedded Systems an zukunftsweisenden Lösungen für Umweltschutz, Gesundheit, Energie, Mobilität und Sicherheit geforscht. SAL bringt dabei wesentliche Akteure aus Industrie und Wissenschaft und damit wertvolle Expertise und Know-how zusammen und betreibt kooperative, anwendungsorientierte Forschung entlang der Wertschöpfungskette. Kooperative Projekte werden von SAL kofinanziert und ermöglichen einen unbürokratischen und schnellen Projektstart. Damit gestaltet SAL den Hochtechnologiestandort Österreich und Europa und entfaltet die Zukunft.
 
Innovation steht bei uns an erster Stelle, und das gilt auch für unsere Mitarbeiter*innen. Wir sind ein familienfreundliches Unternehmen und unterstützen die Vereinbarkeit von Beruf und Familie so weit wie möglich. Deshalb sind wir bis 2026 mit dem Zertifikat "Beruf und Familie" ausgezeichnet worden. Aber wir arbeiten ständig an neuen Maßnahmen, um unseren Mitarbeitern ein Umfeld zu bieten, in dem sie sich wohlfühlen, gesund und motiviert sind.
Sie möchten mehr SAL Einblicke erhalten? 



Apply for this job
We are looking forward to receiving your application!

Thank you for your interest in becoming part of the Silicon Austria Labs GmbH family.
Please fill out the following short form.
If you have difficulties uploading your data, please send an email to human.resources@silicon-austria.com.
Data privacy statement
Uploading document. Please wait.
Please add all mandatory information with a * to send your application.