The Automotive Radar Lab in the Department of Electrical and Computer Engineering at The University of Alabama is seeking multiple Ph.D. students starting from Fall 2020. The Radar Lab’s research directions include automotive radar systems for autonomous driving, radar machine learning and deep learning, remote sensing for climate change. The Lab has strong collaborations with industrial leaders in designing automotive radar chipsets and radar products, such as NXP Semiconductor, Texas Instruments, Aptiv, Uhnder, etc. The graduates of the Radar Lab are highly capable for research and development jobs at autonomous driving companies, such as Uber / Waymo / Aptiv / Lyft / Tesla / GM Cruise / Baidu / DiDi / Argo AI / Aroura, or at high tech companies, such as Google / Apple / Amazon, working on digital healthcare and smart home. More information is available at https://ssun.people.ua.edu/
We are in particularly interested in prospective students with following qualifications.
1. A Master degree in Electrical Engineering, Communication Engineering, Computer Science or related majors is preferred. Outstanding undergraduate students will be considered too.
2. Strong mathematical background and proficient programming skills in Matlab, Python, or C/C++.
3. Previous research experiences with statistical signal processing, communication and information systems, machine learning and imaging processing are preferred, but not required.
Interested students are encouraged to send your CV/Resume, transcript, GRE/TOEFL, and other materials that you believe is helpful for your application to Dr. Shunqiao Sun (email@example.com)
The University of Alabama (UA) is committed to compliance with all applicable laws regarding the concept and practice of equal opportunity, non-discrimination (including anti-retaliation and reasonable accommodation) and affirmative action in all aspects of employment practice. All managers and supervisors are required to take an active part in following this policy to ensure that all qualified applicants and employees who are women, minorities, have disabilities, or have protected veteran status are considered and treated in a non-discriminatory manner with respect to all employment-related decisions. POLICY: EQUALOPPORTUNITY UA provides equal opportunity in education and employment for all qualified persons regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, pregnancy, age, genetic or family medical history information, disability, protected veteran status or any other legally protected basis. UA makes employment decisions based only on valid job-related requirements. UA does not discriminate on the basis of a physical or mental disability or an individual&amp;rsquo;s status as a disabled veteran or any other protected veteran with regard to application for employment and any terms and conditions of employment, provided the individual is qualified, with or without reasonable accommodations, to perform the essential functions of the job. NON-DISCRIMINATIONNOTICE UAcomplieswithapplicablelawsprohibitingdiscrimination,harassment and retaliation, including but not limited to Titles VI and VII of the Civil Rights Act of 1964, the Age Discrimination in Employment Act, Executive Order 11246, Title IX of the Education Amendments of 1972, Sections 503 and 504 of the Rehabilitation Act of 1973, the Vietnam Era Veterans&amp;rsquo; Adjustment Assistance Act, as amended by the Jobs for Veterans Act of 2002 (VEVRAA), the Uniformed Services Employment and Reemployment Rights Act of 1994 (USERRA), the Age Discrimination Act of 1975, the Americans with Disabilities Act (ADA) of 1990, the ADA Amendments Act of 2008, and the Genetic Information Nondiscrimination Act of 2008. Consistent with those laws and UA&amp;rsquo;s Sexual Misconduct, Harassment and other policies, UA prohibits discrimination on the basis of genetic or family medical history information, race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, pregnancy, age, disability, protected veteran status or any other legally protected basis in admission or access to, or treatment of employment in, its programs and services.
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Prof. Shunqiao Sun Electrical and Computer Engineering The University of Alabama