Mar 162025
 
Deep learning for ISAC and Waveform Optimization

 1 MSc (12 Months) and 1 PhD (12 Months) scholarships are available for METU graduate students to work on an exciting research project at the intersection of Deep Learning, Waveform Design, and Integrated Sensing and Communications — key enablers for 6G and beyond wireless communication networks.

The project will focus on developing novel techniques that leverage deep learning for wireless communication and sensing systems, optimise the coexistence of communication and sensing functionalities, and enhance overall spectral and energy efficiency in future wireless systems.

Application Deadline: 30th of March – Candidates are encouraged to apply as soon as possible.

Start Date: As soon as possible – Applications will be reviewed on a rolling basis until all positions are filled.

This project is supported by METU BAP (Scientific Research Projects Coordination Unit). Current scholarship rates are 6000 TL/Month for MSc students and 9000 TL/Month for PhD Students.

Key Research Areas

  • Deep learning for waveform design and optimization
  • Deep learning for signal processing
  • Joint radar sensing and communication systems
  • Modelling and simulation of wireless systems
  • Deriving analytical expressions for communication capacity and sensing lower bounds
  • Mathematical optimization and developing closed-form solutions

Who Should Apply?

We are looking for talented and motivated researchers with a passion for applied mathematics, next-generation wireless communications, machine learning, and signal processing. Candidates with experience or strong interest in at least one of the following areas are encouraged to apply:

  • Wireless communication and sensing systems (OFDM, FMCW, massive MIMO, ISAC, communication/computer networks.)
  • Machine learning techniques (deep learning, reinforcement learning, federated learning, etc.)
  • Proficiency in MATLAB and/or Python (Simulation and modeling experience is desirable).
  • Strong mathematical background (linear algebra, optimization, probability, matrix theory).
  • Experience with mathematical optimization, cybersecurity.

Eligibility Criteria

  • MSc applicants: METU MSc with thesis students in the following fields: Electrical and Electronics Engineering, Mathematics, Physics, Computer Science, Computer Engineering, Computer Education, Information Technologies, Scientific Computing or related fields.
  • PhD applicants: METU PhD students in the following fields: Electrical and Electronics Engineering, Mathematics, Physics, Computer Science, Computer Engineering, Computer Education, Information Technologies, Scientific Computing or related fields.

What You Will Do

  • Develop machine learning-based algorithms for wireless communication systems.
  • Derive mathematical expressions for optimisation and performance analysis.
  • Develop wireless communication and sensing system models and simulations.
  • Write research articles for high-impact journals and leading international conferences.
  • Collaborate with researchers from top international universities and industry partners.
  • Contribute to writing research projects and collaborate with other researchers and students.

How to Apply

Interested candidates should send the following documents to Assist. Prof. Dr. Murat Temiz mtemiz@metu.edu.tr with the subject line:

“Application for MSc/PhD Position – Deep Learning and Wireless”:

  • Detailed CV including education background (with grades) and research experience.
  • A one-page cover letter explaining research interests, motivation, and relevant skills.
  • For informal inquiries, you can contact Dr. Murat Temiz at [mtemiz@metu.edu.tr].

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