CareerFinders, on behalf of our client, an international developer of sophisticated software solutions with regional operations in Cyprus, we are seeking to recruit an AI Researcher (Radio Signal Processing & Recognition) to join their research team in the field of intelligent radio signal processing and recognition based in Limassol. The successful applicant will develop and research state-of-the-art machine learning methods to automatically capture, classify, and interpret radio and high-frequency (RF) signals. Our client is seeking applicants who are ideally educated to degree level in Electrical Engineering, Communications Engineering, Computer Science, Physics, Applied Mathematics, or a related field, who possess in-depth knowledge of machine learning and deep learning, demonstrated through projects, publications, or practical experience. You will need to have excellent programming skills in Python and proficiency with a common deep learning framework, such as PyTorch. Excellent verbal and written communication skills in English are a must. An attractive remuneration and benefits package is on offer, which includes a competitive base salary, private health insurance, provident fund, gym membership, hybrid working options, and more!
 

Key Duties/Responsibilities: 

• Development, training, and evaluation of deep learning models (e.g., CNNs, RNNs, Transformers) for the detection, classi-fication, and characterization of radio signals, including modulation and emitter detection.
• Processing and analysis of IQ data, spectrograms, and other RF representations using classical digital signal processing (DSP) and data-driven methods.
• Research into signal detection methods in noisy, overlapping, or resource-constrained environments (e.g., low SNR, broad-band spectrum sensing).
• Building, curating, and augmenting training datasets, including the generation of synthetic signal data and domain adaptation techniques.
• Prototyping and validating algorithms using software-defined radio (SDR) platforms and corresponding frameworks.
• Close collaboration with colleagues in signal processing, software development, and systems engineering to translate re-search findings into practical solutions.
• Documentation of results in internal technical reports.
• Monitoring current research trends and evaluating their relevance to one’s own areas of work.

Key Skills/Experience: 

• MSc or PhD in one of the following fields, Electrical Engineering, Communications Engineering, Computer Science, Physics, Applied Mathematics, or a related field.
• In-depth knowledge of machine learning and deep learning, demonstrated through projects, publications, or practical experience.
• Solid understanding of digital signal processing (Fourier analysis, filtering, sampling, modulation techniques).
• Excellent programming skills in Python and proficiency with a common deep learning framework (e.g., PyTorch).
• Experience working with large, noisy, or unstructured datasets.
• Analytical thinking, scientific rigor, and the ability to independently address research questions.
• Fluency in English is required.

Key Benefits: 

• Attractive remuneration package.
• Private health insurance.
• Provident fund.
• Gym membership.
• Hybrid working scheme.
• Continuous personal development scheme.

To apply for this vacancy, please send your CV, along with any covering letter to [email protected] quoting the reference number CAR9308. Please note that due to the high volumes of applications received only shortlisted applicants will be responded to. By sending us your CV you are giving CareerFinders your consent to be contacted for this and any other suitable vacancies that we believe match your skills and experience. To view our privacy policy, please click www.careerfinders.com.cy/privacy-policy.