Localisation and situational awareness for high reliability in integrated sensing and communica[...]

Photonics Austria; Wetzlar; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

An established industry player is seeking a talented individual to contribute to cutting-edge research in industrial automation and connectivity. This role focuses on developing advanced algorithms for situational awareness and predictive analytics, utilizing sensing and communication data to enhance operational efficiency. Candidates will engage in innovative research, applying their expertise in telecommunications, machine learning, and signal processing. This is an exciting opportunity to work in a dynamic environment, contributing to impactful projects that shape the future of industrial technology. If you have a passion for research and a strong academic background, this position is perfect for you.

Qualifikationen

• Master’s Degree required in relevant fields.
• Proficiency in programming and simulating wireless communication systems.

Aufgaben

• Develop prediction and situational awareness algorithms for industrial environments.
• Analyze real-time sensing data to enable proactive decision-making.

Kenntnisse

Telecommunications

Machine Learning

Signal Processing

Mathematical Optimization

Programming in Matlab

Programming in Python

Teamwork

Problem-solving

Innovation capability

Ausbildung

Master’s Degree in Electrical Engineering

Master’s Degree in Computer Science

Master’s Degree in Telecommunications

Tools

Matlab

Python

Jobbeschreibung

Deine zukünftigen Aufgaben

Description: 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.

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.

Required Application 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

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