PhD Studentship in Diffusive Molecular Nano-Networks

Brief description:

The University of Sussex is offering three-year PhD studentship for UK/EU students. The studentship is awarded in Abnormality Detection in Diffusive Molecular Nano-Networks under the supervision of Dr Menguc Oner.

The University of Sussex is a public research university in Falmer, near Brighton in Sussex.

Course Level:

Studentship is available for pursuing PhD programme.

Study Subject:

Studentship is awarded in Abnormality Detection in Diffusive Molecular Nano-Networks.

Scholarship Award:

£14,553 tax-free stipend plus UK/EU fees waiver.

Eligibility:

The scholarship includes a three-year stipend at a standard rate (currently £14,553 per annum) and, in addition, fees at the UK/EU rate. Since the scholarship only covers fees at the UK/EU rate, overseas applicants are kindly requested to state in their application how they propose to cover the difference between UK/EU and overseas fees.

Required:

  • Good Bachelor’s, or (preferably) Master’s degree in electrical and electronic engineering or in a closely related field.
  • Familiarity with Matlab.
  • Ability to work independently and be self-motivated. A healthy dose of scientific curiosity and scientific problem-solving skills
  • A solid theoretical background in the fundamentals of digital communications and signal processing.
  • Good programming skills.

Nationality:

UK/EU students are eligible to apply

College Admission Requirement

Entrance Requirement: Applicants must have master’s degree.

English Language Requirement: Applicants whose first language is not English are usually required to provide evidence of proficiency in English at the higher level required by the University.

How to Apply:

Apply for a PhD in Engineering clearly stating the title of this studentship in the Finance Section of your PhD application, and specify Dr Menguc Oner as your preferred supervisor.

Application Form

Application Deadline: The closing date for the applications is September 7, 2017.

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