There is a fully funded PhD studentship at the School of Computer Science and Electronic Engineering at the University of Essex, UK. The studentship covers overseas tuition fees (£17,900 per annum) and £17,668 stipend. If you are interested in pursuing a PhD in the areas of semantic communications, video coding for machines, machine learning for communication, please send your CV and transcripts to Prof. Nikolaos Thomos (nthomos@essex.ac.uk) and Dr. Eirina Bourtsoulatze (e.bourtsoulatze@essex.ac.uk).

For more information about the supervisors
https://www.essex.ac.uk/people/thomo13706/nikolaos-thomos
https://www.essex.ac.uk/people/bourt28406/eirina-bourtsoulatze

15 fully funded PhD Studentships covering Home fees of (£5,360 for 2021-22) plus stipend are available at the School of Computer Science and Electronic Engineering at the University of Essex.  Studentships are for a period of 3 years and will start from 25 April 2022. If you are interested in doing research in the areas of image/video communications, source/channel coding and machine learning/AI,  and have a strong CV, please get in touch with me (e.bourtsoulatze@essex.ac.uk)

The School has a large and thriving graduate research community. We provide an active and stimulating environment to carry out your doctoral research and have an extensive range of specialist labs and facilities. 

More details can be found at https://www.essex.ac.uk/postgraduate/research/opportunities/computer-science-and-electronic-engineering-studentships

Application deadline: 28th September 2021
Expected start date: April 2022

There is a fully funded PhD opportunity in the area of designing advanced coding and random access techniques for DNA storage using machine learning methods. For informal questions please contact Prof. Nikolaos Thomos (https://sites.google.com/site/nthomos/)  at nthomos@essex.ac.uk. Applications should be done through University of Essex job portal by 31st of March. Expected start date 1st of October. Further details can be found at the following link: https://www.essex.ac.uk/postgraduate-research-degrees/opportunities/Design-of-advanced-coding-and-random-access-techniques-for-DNA-storage

There is an opening for two funded MSD (Master by Dissertation) studentships in the Communications and Networks group at the School of Computer Science and Electronic Engineering at the University of Essex under the Marie Curie RISE project RECENT and the supervision of Prof. Leila Musavian (https://www.essex.ac.uk/people/musav85708/leila-musavian) and Prof. Nikolaos Thomos (https://sites.google.com/site/nthomos/). The project will include secondment at the Portuguese partner (Greensphere Unipessoal LDA). The topic of the dissertations will be in the areas of physical-layer network coding, physical layer security, massive MIMO. Novel machine learning methods may be applied for the design of the systems.

Upon successful performance and availability of funding, there will be an opportunity for the successful candidate to continue for a PhD. Students at the BSc or MSc level with a background in Electrical and Computer Engineering, Electronic Engineering, Computer Science, or Applied Mathematics are encouraged to apply. Above all, the applicants must be self‐motivated, learn quickly and work effectively on challenging research problems.

Please send your CV in attachment to nthomos@essex.ac.uk and leila.musavian@essex.ac.uk and specify in the subject line “Application for MSD at UESSEX”. Please describe briefly your background and research interests in the e‐mail. The deadline for applications is the 15th of Nov. 2019. The successful candidates are expected to start in Jan 2020.

There is an opening for two PhD studentships in the Communications and Networks group at the School of Computer Science and Electronic Engineering at the University of Essex. The positions are fully funded (stipend & tuition). Should you be interested in working in the area of machine learning for communications, you are encouraged to contact Dr. Nikolaos Thomos. Successful candidates are expected to start their PhDs in April 2018.

Students at the BSc or MSc level with background in Electrical and Computer Engineering, Electronic Engineering, Computer Science, or Applied Mathematics are encouraged to apply. Above all, the applicants must be self‐motivated, learn quickly and work effectively on challenging research problems. For a description of recent research activities carried out by Dr. Thomos, please visit the website https://sites.google.com/site/nthomos/.

Please send your CV in attachment to nthomos@essex.ac.uk and specify in the subject line “Application for Communications and Networks group studentships at UESSEX”. Please describe briefly your background and research interests in the e‐mail. The deadline for applications is the 23rd of Feb. 2018. The candidates should submit their application through the University of Essex application submission system. More details can be found at https://www.essex.ac.uk/departments/computer-science-and-electronic-engineering/scholarships-and-funding.

PhD candidates are solicited in the School of Computer Science and Electronic Engineering at the University of Essex. Applicants who are interested in working in (a) machine learning for Augmented Reality/Virtual Reality (AR/VR) communication and (b) signal processing algorithms for IoT networks are encouraged to discuss with Dr. Nikolaos Thomos.The positions are fully funded (stipend & tuition). The successful candidates are expected to start their PhDs in October 2017.

Students at the BSc or MSc level with background in Electrical and Computer Engineering, Electronic Engineering, Computer Science, or Applied Mathematics are encouraged to apply. Above all, the applicants must be self‐motivated, learn quickly and work effectively on challenging research problems. For a description of recent research activities carried out by Dr. Thomos, please visit the website https://sites.google.com/site/nthomos/.

Please send your CV in attachment to nthomos@essex.ac.uk and specify in the subject line “Application for CSEE PhD positions at UESSEX”. Please describe briefly your background and research interests in the e‐mail. The deadline for application is the 19th of April 2017. The candidates should submit their application through the University of Essex application submission system.

There is an opening for a fully funded PhD position under the supervision of Prof. Kun Yang who is the director of the Network Convergence Laboratory at the Computer Science and Electronic Engineering at the University of Essex. The PhD study will be in the area of wireless networks, including wireless network virtualization, communication and computation cooperation. The precise topic will be defined based also on the student's academic background and interest.

Students at the B.S. or M.Sc. level with background in Electrical and Computer Engineering, Electronic Engineering, Computer Science, or Applied Mathematics are encouraged to apply. Above all, the applicants must be self‐motivated, learn quickly and work effectively on challenging research problems. For a description of recent research activities carried out by Prof. Yang, please visit the website http://privatewww.essex.ac.uk/~kunyang/.

Please send your CV in attachment to kunyang@essex.ac.uk and specify in the subject line “Application for CSEE PhD positions at UESSEX”. Please describe briefly your
background and research interests in the e‐mail. The official deadline for the application is on the 28th of February and the application should be done through university's application system. More details can be found at http://www.essex.ac.uk/csee/fees_and_scholarships/default.aspx.

PhD candidates are solicited in the School of Computer Science and Electronic Engineering at the University of Essex. The candidates will be supervised by Dr. Nikolaos Thomos and be members of the Network Convergence Laboratory (http://dclgw.essex.ac.uk). The successful candidates will investigate advanced coding and caching algorithms for Wireless Networks/Future Internet architectures. The research lies at intersection of coding, communications and multimedia networking. The topic of the Ph.D. is fairly open and the exact focus of the research could be agreed. The positions are fully funded (stipend & tuition) and are available immediately, once the suitable candidates pass the application requirements.

Students at the B.S. or M.Sc. level with background in Electrical and Computer Engineering, Electronic Engineering, Computer Science, or Applied Mathematics are encouraged to apply. Above all, the applicants must be self‐motivated, learn quickly and work effectively on challenging research problems. For a description of recent research activities carried out by Dr. Thomos, please visit the website https://sites.google.com/site/nthomos/.

Please send your CV in attachment to nthomos@essex.ac.uk and specify in the subject line “Application for CSEE PhD positions at UESSEX”. Please describe briefly your
background and research interests in the e‐mail.