Applications are invited for a two-year Research Associate position in the intersection of machine learning, information theory and communications. The successful candidates will be based within the Information Processing and Communications Laboratory at Imperial College London under the direction of Prof. Deniz Gunduz.

Previous research experience and a strong track record in some or all of the areas of information theory, signal processing, machine learning and/or optimization theory is needed. Applicants should hold a PhD degree in electrical engineering, computer science, mathematics, or a related field, and excellent written and communication skills. More information about the research group can be found at 

https://www.imperial.ac.uk/ipc-lab/

For full consideration, please submit your application through the following link: 

https://www.jobs.ac.uk/job/CMS467/research-associate-in-machine-learning-information-theory-and-communications

Imperial College London is a university of world-class scholarship, education and research in science, engineering and medicine. Established in 1907, it is located in the heart of London. It is consistently rated among the United Kingdom's top three universities, and in 2022, is ranked 7th in the world by the QS World University Rankings and 11th by the Times Higher Education (THE). Imperial is ranked 10th in Reuters Top 100 Innovative Universities.

The College has over 3,000 academic and research staff and about 14,000 students from over 120 different countries. Graduate students constitute 40% of the student body, a proof of Imperial’s commitment to research. All of our academic departments are located on a single campus in South Kensington, giving a concentration of talent that creates a stimulating and vibrant research community. You can find out more about our staff benefits, including generous annual leave entitlements and our excellent professional development opportunities, here:http://www.imperial.ac.uk/job-applicants/staff-benefits/ .