Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects.
Research Area: Computational Science and Engineering Electromagnetics
Duties: The successful applicant will be involved in the projects related to the applications of abovementioned techniques to the bio-electromagnetics, radar, and microwave imaging. The successful applicant is expected to produce/publish research results and help in supervising MSc students.
Application Deadline: The deadline for applications is 25 September 2019, but applications will be accepted until the position is filled.
Interested candidates please send (i) your CV, (ii) the names and contact information of three individuals who will provide reference letters, if requested, and (iii) a brief statement of research interests/plans (no more than two pages) to:
Asst. Prof. Abdulkadir C. Yucel
School of Electrical & Electronic Engineering
Nanyang Technological University
50 Nanyang Avenue
E-mail Address for E-mailed Applications: email@example.com
Electronic submission of application is highly encouraged.
Only shortlisted candidates will be notified for interview.
The applicant must have completed an MSc in Electrical Engineering, Applied Mathematics, Computer Science, Computer Engineering, Computational Sciences and Engineering, or a related discipline, with a capacity for high-quality research proven by a publication record.
The applicant must have:
1. Experience in deep learning, tensor decomposition, and/or uncertainty quantification techniques
2. Good mathematical and analytical thinking skills
3. Advanced programming and technical writing skills
Applicants with any/some/all of the following qualifications will have priority:
1. Basic knowledge of electromagnetic theory, photonics, and/or optics
2. Experience in convolutional neural networks
We regret only shortlisted candidates will be notified.