Signal Processing for Communications and Networking

We have multiple open positions in the Distributed and Networked Control Systems (DNCS) group at the University of Cyprus, including PhD and Postdoc opportunities. We are seeking highly motivated individuals to join our research group who will contribute to cutting-edge research in control over communications and communications over control for cooperative autonomous systems. Specifically, our open (fully-funded) positions are:
      P1. Postdoc on “Distributed real-time, resource-efficient channel mapping and prediction”
      P2. Postdoc on “Information theoretic approaches for real-time estimation and control”
      P3. PhD on “Information theoretic approaches for real-time estimation and control”
      P4. PhD on “Model-based learning for joint control synthesis and communication in cooperative autonomous systems”

Why join us?

• Work alongside renowned researchers in a collaborative environment
• Access state-of-the-art facilities and equipment, including drones and mobile robots.
• Engage in high-impact research with opportunities for publication and collaboration with top institutions worldwide
• Become part of an international, friendly team with regular events (talks, visitors, etc) and networking opportunities

Successful Postdoc candidates

• Completed their PhD in a relevant discipline (such as electrical engineering, robotics, or computer science) within the last 5 years
• Academic achievements in control, robotics, and/or machine learning (e.g., journal papers in top-tier venues)
• Strong programming skills
• High level of commitment and initiative combined with creativity
• Excellent writing and communication skills in English for research publications and presentations

Successful PhD candidates

• Hold a master's degree in electrical/computer engineering, computer science, or related fields with excellent grades
• Strong proficiency in mathematical tools (e.g., linear algebra, graph theory, optimization). Background in control, path planning, or decision-making algorithms is a plus.
• Possess very good programming skills
• Proficiency in writing and speaking English

How to apply
Interested applicants should submit the following as a single PDF file:

• Letter of motivation (maximum 1 page in 10pt font size)
• CV with contact details
• Degree certificates and Transcripts (if not in Greek or English, a certified English translation)
• Contact details of at least two referees

Please send your application via email to the Director of the DNCS Group, Professor Themistoklis Charalambous (charalambous.themistoklis@ucy.ac.cy) with the subject title MINERVA2025-Application-P* (where * you insert the number of the position of interest from P1 to P4) by Monday, 31st of March 2025. For more information, please contact Professor Themistoklis Charalambous directly.

About the director of the group
Prof. Themistoklis Charalambous is currently a tenure track Assistant Professor at the University of Cyprus (UCY) and a Visiting Professor at FinEst Center for Smart Cities in Estonia and Aalto University in Finland (where he was serving as a tenured Associate Professor at the Department of Electrical Engineering and Automation, School of Electrical Engineering until August 2021). He received his BA (First Class Honours) and MEng (Distinction) in Electrical and Information Sciences from Trinity College, Cambridge University, in 2005. He completed his PhD studies in the Control Laboratory of the Engineering Department at Cambridge University. Following his PhD, he held research positions at Imperial College London, Royal Institute of Technology (KTH), and Chalmers University of Technology. In January 2017, he joined the Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University as a tenure-track Assistant Professor. In September 2018, he was nominated as a Research Fellow of the Academy of Finland, and in July 2020, he was promoted to tenured Associate Professor. In 2022, he was awarded the prestigious European Research Council (ERC) Consolidator Grant of €2,000,000 for 5 years for the project “eMergINg coopERatiVe Autonomous systems - information for control and estimation (MINERVA)”.

About the University of Cyprus
The University of Cyprus (UCY), with around 7.000 students, 113 laboratories, and 830 faculty and staff members, is the country’s leading public university and has established itself as a hub of academic excellence, research, and innovation since its founding in 1989. UCY is recognized for its strong research output, participating in major EU-funded projects such as Horizon 2020 and Horizon Europe, while consistently ranking among the top universities in Europe, particularly for research impact. Currently, UCY is ranked in the top 100 best young universities in the world according to the Times Higher Education (THE) Young University Rankings for universities less than 50 years old. Established in 2001, the Department of Electrical and Computer Engineering (ECE) at the University of Cyprus has rapidly developed into a dynamic hub where scientists and engineers from diverse disciplines collaborate to tackle complex scientific and technological challenges. The department’s research spans cutting-edge fields, including control, robotics, and autonomous systems; well-being and smart living environments; industrial electronics and informatics; and power systems and conversion. Demonstrating its commitment to excellence, the University of Cyprus has been ranked among the top 151-200 institutions worldwide for Electrical and Electronic Engineering and 101-150 for Automation and Control in the 2024 Academic Ranking of World Universities (Shanghai Rankings). This recognition reflects the department’s dedication to high-quality research, innovative teaching, and impactful outreach, solidifying its position as a leader in engineering education and research in the region.

Tampere University has several professor positions open related to AI and its applications, covering various areas of signal processing. The positions include a quite substantial starting package, covering funding for multiple research group members. Strong researchers are encouraged to apply! The deadline for applications is 9 March 2025. For more information about the positions, please visit this page.

The Delft Center for Systems and Control (DCSC) is offering one PhD vacancy under the newly funded ‘Digitally modulated radars’ (DiMoRA) project. The project will be carried out in the research group of Dr. N. J. Myers, in collaboration with researchers at the faculty of EEMCS and experts from NXP Semiconductors.

Dr. Myers’s group at TU Delft develops and analyzes novel signal processing techniques for communications and sensing with wireless systems. We focus on both applied and theoretical aspects of challenging problems in connected automotive and radars. For more details on the vacancy and the application process, visit this link. 

Position Link. 

Applications are invited for postdoctoral researcher positions in the general area of optimization and learning of network systems. Competitive financial supports will be provided.

Candidates with a clear interest in the general area of network systems are encouraged to apply.

Specific areas of research include:

• multi-agent optimization and learning
• game theory
• cooperative control

Clemson University is ranked 23rd among national public universities by U.S. News & World Report. It is described by students and faculty as an inclusive, student-centered community characterized by high academic standards, a culture of collaboration, school spirit, and a competitive drive to excel. Clemson is located on Lake Hartwell in the foothills of the Blue Ridge Mountains, an area of outstanding natural beauty and temperate climate. It is 30 miles from Greenville, SC, a vibrant and growing city which provides many opportunities for entertainment, culture, and fine dining.

Strong mathematical and analytic skills are desired. Candidates with a demonstrated track record in one or more of the previous area(s) will be preferred. Interested students should send a short resume, along with representative relevant publications, to yongqiw@clemson.edu

The Signal Processing Research Centre of Tampere University is looking for a tenure track-professor (assistant/associate/full) to join its team of world-class experts. Please see the full description and apply here.

PhD and MSc Studentships in 6G Wireless Communications Systems

Programme of Electrical Engineering,  Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil 

Applications are invited for PhD and MSc studentships in 6G wireless communications systems. These studentships are funded by the CNPq/CAPES research councils in Brazil. The topic of the study is open within the general area of wireless communications. Potential topics include but are not limited to:

- Multiple-antenna systems
- Intelligent reflective surfaces
- Joint sensing and communications
- Machine learning for communications
- Channel coding/decoding: LDPC and Polar codes
- Resource allocation, network slicing, optimization

Deadline for application: 5th November 2023
Start date: early March 2024

This is an exciting international opportunity for a candidate with (or expecting) an BEng (required for MSc applications), MEng or MSc (required for PhD applications) with First Class Honours in Electrical and Electronic Engineering or related areas. Among the key technical disciplines are an excellent level of mathematics, development of algorithms and design of wireless communications systems. The successful candidate will be based at PUC-Rio, Rio de Janeiro, Brazil, will colaborate and visit international partners, and is expected to attend international conferences.

The studentships are open to everyone, cover the tuition fees, and give a stipend of about US$ 400 (MSc) or US$ 800 (PhD) per month for 4 years. Additional funding might be available with industrial projects and requires extra 4-6 hours per week.

Applicants should send an up to date CV with photo, a one-page personal statement, full contact details (including email addresses) of 2 referees, transcripts and publications to:

Prof. Rodrigo C. de Lamare, PUC-Rio - delamare@puc-rio.br 
Prof. Lukas Landau, PUC-Rio - lukas.landau@cetuc.puc-rio.br

The Department of Information and Communications Engineering is looking for outstanding

Postdoctoral Researchers in the area of Personalized Online Machine Learning for Wireless Networks

Are you an ambitious and talented researcher seeking to push the boundaries of machine learning and wireless communications? Do you want to be part of an innovative team working on cutting-edge projects that have real-world impact? If so, we invite you to apply for our prestigious three-year postdoctoral position at the Department of Information and Communications Engineering (DICE), Aalto University, Helsinki, Finland. 

Your role and goals

We are specifically looking for candidates with a deep passion for research and who demonstrate the potential to excel in various cutting-edge research areas related to statistical learning for emerging communications systems. These areas encompass meta-learning for heterogeneous systems, networked federated learning, privacy-preserving machine learning, Byzantine-resilient learning, and robust resource-efficient distributed optimization. As a postdoctoral researcher in PLEDGE, you will lead pioneering research at Aalto University's Department of Information and Communications Engineering. Your primary focus will be developing innovative algorithms and theories for reliable learning in resource-constrained networks with irregular and unstructured streaming data. You will be actively involved in creating decentralized personalized learning solutions in multi-agent wireless networks, such as the internet of things (IoT) and cyber-physical systems (CPS). Your work will be instrumental in advancing the digital transformation of industries and societies, contributing to solutions for various real-world challenges.

Your experience and ambitions

We seek a highly motivated and skilled researcher with a solid background in signal processing, statistical machine learning, optimization, wireless communications, or applied mathematics. Your expertise should be demonstrated through high-quality research publications, including at least one IEEE Transactions paper. Strong mathematical and programming skills, as well as proficiency in English, are essential. Your collaborative and proactive nature and excellent communication skills will be key to successfully contributing to the team. In summary, the ideal candidate has:

• A Ph.D. degree in Information and Communications Engineering, Electrical Engineering, Computer Science, or related fields.
• A strong research background with expertise in one or more of the following areas: signal processing, statistical machine learning, optimization, wireless communications, or applied mathematics.
• Proven track record of academic excellence demonstrated through high-quality research publications, including at least one IEEE Transactions paper.
• Solid programming skills and experience with relevant tools and libraries.
• A collaborative and proactive attitude with excellent communication skills
• Fluency in written and spoken English.

Don't miss out on this exciting opportunity – apply now! The best-qualified candidates will be invited for an interview.

Apply now

For more information about the position and application submission, please visit this page.

The Communication Systems and Networks (CSN) research group is looking for two excellent, motivated, self-driven Ph.D. students to work in the area of next generation Open RANs. The positions are placed at the Sensible Things that Communicate (STC) research center, who is a leading Scandinavian research center in Industrial IoT, and are doing research on fields ranging from wireless connectivity, network security, distributed systems, ML/AI, embedded systems, visualization and measurement systems.

We seek outstanding talents with a solid background in wireless communication, communication systems, mathematics (statistics, optimization, and linear algebra) and programming (Python or C++). Previous experiences in RRM and ML/AI is an advantage.

The candidates will work in the projects ENSURE-6G and DIGIT, actively collaborate with
other researchers within the research group, STC research center, as well as with our external collaborators in academia and industry. The candidates will also do longer research visits to renowned international research groups during their study.

We offer you:
The position comes with competitive salary, flexible working hours, professional development opportunities, parental allowance supplement, fitness program, insurance, and paid holidays (29 days or
more depending on age). The CSN group is one of the fastest growing Scandinavian research groups in communication systems and networks.

More information about the position and how to apply is given here: 

Best regards,

Professor Mikael Gidlund

https://www.miun.se/en/personnel/mikaelgidlund/

About the job

The Department of Electronic Systems (IES) has a vacancy for a Postdoctoral Researcher in statistical machine learning and distributed signal processing with applications in IoT. The successful candidate will be offered a three-year (3 years) appointment.

The position is linked to IoT@NTNU, a hub for IoT research at the Faculty of Information Technology and Electrical Engineering (IE), coordinated by IES. The project deals with big data, the internet of things (IoT), and artificial intelligence as critical enablers of IoT. In IoT, large volumes of data, often even personal data, are constantly gathered by numerous geographically dispersed sensors and devices, opening up a vast number of application areas that call for new approaches to data processing and inference. For example, concentrating the data at a central processing hub might be unfeasible due to constraints on the energy budgets of the data-collecting sensors/devices, the integrity of data holders, or the capacity of the communication channels. Thus, robust and privacy-preserving distributed or graph-based data processing over networks of machines/agents will be essential for performing data processing in future IoT-based applications. Examples of application areas of interest include but are not limited to, sensor fusion, health, smart cities, Industry 4.0, and environmental monitoring.

The postdoctoral research fellow will be affiliated with the IoT@NTNU and the Norwegian Open AI lab and collaborate with leading research scientists from international partner institutions. In addition, the hired candidate is to conduct research and possibly guide other students associated with the team. Therefore, preference will be given to candidates who can work independently and have a strong potential to build competence in advanced signal processing and machine learning methods with applications in IoT. 

We search for candidates interested in these interdisciplinary tasks, and those with the best qualifications will be invited for an interview. 

Salary and conditions

As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 563 500 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is three (3) years.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU.

About the application 

For more information and application submission, please visit the following link:

Postdoctoral Fellow in Signal Processing and Machine Learning for Emerging IoT Applications (241689) | NTNU - Norwegian University of Science and Technology (jobbnorge.no)

Joint postdoc position between Princeton University and the Weizmann Institute at the intersection of signal processing, communications, and biomedical applications.

The work will be performed with the groups of Profs. Andrea Goldsmith and Yonina Eldar.  Background in one or more of the above areas required with the desire to expand into the other areas.

The candidate is expected to spend time in both locations, working with collaborative and supportive teams.

Interested candidates should send a CV, references and cover letter to yonina.eldar@weizmann.ac.il and goldsmith@princeton.edu.