Assistant Professor Cognitive Radar Signal Processing

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Delft University of Technology invites applications for the position of Assistant Professor on Cognitive Radar Signal Processing for Remote Sensing Applications.

As an Assistant Professor candidate will conduct scientific research, developing your vision and your scientific domain. They will grow their team to three or four PhD students whom they will be supervising to completion. For their research, they will build their network of industrial partners and attract funding. They will be increasingly involved in teaching and supervising master’s students and possibly bachelor’s students. And they will develop academically challenging courses, helping the school to continuously improve its curriculum.

Duration: 6 years

Salary

  • Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
  • The TU Delft offers a customizable compensation package, a discount on health insurance and sports memberships, and a monthly work costs contribution. also,
  • Flexible work schedules can be arranged.

Job Requirements

They seek a candidate with the following key qualifications:

  • A PhD in electrical engineering, physics, or applied mathematics.
  • Demonstrable research experience in one or more relevant fields, such as remote sensing, radar, sonar, ultrasound, or telecommunication, and a drive to work and learn in this multidisciplinary domain.
  • Have a proven track record in your research field, as evidenced by refereed publications in top-quality journals.
  • Show the potential to be an inspired and dedicated teacher.
  • Excellent command of English, as TU Delft is an internationally diverse community.

Application Process

Qualified applicants for the Assistant Professor Cognitive Radar Signal Processing are requested to send;

  • Motivation letter.
  • Detailed CV.
  • Recent teaching evaluations (if available).
  • Teaching statement.
  • Two research papers (published or unpublished).
  • Names and contact information of at least three relevant references.
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To apply, click here

Application Deadline: October 01, 2022.

For more information, visit the official site. 

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