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Postdoc in Signal Processing
Top Reasons to Join SPS Today!
1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
Postdoc in Signal Processing
A postdoctoral fellow position is available for researchers with a solid background in signal processing, machine learning for a project exploring auditory scene analysis using biosonar. Applicants with a strong analytical background are encouraged to apply.
Qualifications: (1) A degree in Biomedical Engineering, Electrical Engineering, Computer Science, Statistics or other related fields; (2) strong programming skills; (3) Experience and knowledge of signal processing, machine learning and statistical analysis; (4) Knowledge of neuroscience and/or sonar is desirable but not required.
Please send resume and sample publications to mounya(at)jhu(dot)edu.
SPS ON X
- THIS WEEK: Join NASA’s Dr. Jacqueline Le Moigne as she shares her journey through academia, the private sector, and pivotal roles at NASA, emphasizing her work in signal processing, computer vision, and related technologies. Register now! https://x.com/IEEEsps/status/1785057479606288505
- Join NASA’s Dr. Jacqueline Le Moigne for this interactive webinar as she shares her journey through the realms of signal processing, computer vision, and related technologies, including her pivotal roles at NASA. https://x.com/IEEEsps/status/1782468413551423536
- Great crowd at the Student Job Fair at #ICASSP2024! Thank you to our sponsors for furnishing an exciting, engaging event! https://x.com/IEEEsps/status/1780817453569687559
- Thank you to our Women in Signal Processing Luncheon panelists for their wisdom and insights during today’s event at #ICASSP2024! https://x.com/IEEEsps/status/1780458637338530252
- Free Machine Learning (ML) Lecture Series from IEEE SPS From basics to recent advances, unlock the secrets of ML with Prof. Sergios Theodoridis! https://x.com/IEEEsps/status/1779931297093222415
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