Postdoctors and PhD Student Positions in SUSTech, Shenzhen
Southern University of Science and Technology
Postdoctor:
* Research fields: gait recognition, pedestrian video synthesis, human body modeling in videos, human action classification and related.
* Requirements: Had a PhD degree, published high quality papers, (We accept Chinese citizens and non-Chinese citizens).
* Requirements: <= 35 y/o, < 3 years after PhD (the requirements are from the government for the bonus for Postdoctors)
Salary: >=335K RMB/year (the bonus from the local government is included)
PhD Student:
* Enrolled in September 2022.
* 1-2 students per year.
* Types: Chinese students please visit https://gs.sustech.edu.cn/zsgailan , non-Chinese students https://global.sustech.edu.cn/en/lxnkd/
* Research fields: gait recognition, pedestrian video synthesis,
Requirements: Good programming skills, good English writing ability, GPA should be >= 3.0 (4.0).
Link:
https://faculty.sustech.edu.cn/?cat=11&tagid=yusq&orderby=date&iscss=1&snapid=1&lang=en
Machine Learning Research Engineer/Senior Engineer
QualComm Shanghai
Qualcomm's Multimedia R&D and Standards Group is seeking candidates for its Computer Vision team in Shanghai, China. The team develops new algorithms, architectures and systems for computer vision application running in an embedded systems environment targeted primarily to devices operating in mobile, XR, automotive and IOT environments.
The candidates are expected to work on the following aspects:
Utilizing modern machine learning techniques for computer vision tasks
Development of concept proving demo on Qualcomm platform
Tackling practical issues in terms of accuracy and efficiency for specific application scenarios to make the computer vision technology ready for commercialization
Tracking cutting-edge computer vision and machine learning techniques and new emerging application fields
Proposing new ideas in algorithm /application for technology commercialization and/or patent application
Qualification:
Strong background and hands-on R&D experience in one or more of the following Computer Vision related areas：
Biometrics: Face/ Fingerprint recognition and anti-spoofing
Hand / body detection and 2D/3D pose estimation
Object detection/ tracking
Segmentation
Knowledge or experience in ultrasonic signal processing, transmission and acoustic imaging theory is a plus
PhD degree is preferred but Master with top-level conference / journal publication in CV/ ML area can be considered.
Proficiency in Python and C++ is a must. Java/ Script languages are plus.
Proficiency in Pytorch or Tensorflow is a must.
Experience with On-device deep learning model deployment is a plus
Experience with Android / Linux / QNX development is a plus
Experience with performance optimization with ARM/ DSP/GPU/NPU is a plus
Job Opening for Postdoc Research Fellows & Tenure-track Assistant Professor in Computer vision/Machine Learning:
Shanghai Jiao Tong University
The AI institute in Shanghai Jiao Tong University invites applications for postdoc research fellow & Tenure-track Assistant Professor positions in the following areas:
1) Multimodal brain image computing and analysis
2) Computer vision
3) Machine Learning
Applicants for the above positions should hold a Ph.D degree in Computer Science or related areas; have a track record of research experience in terms of publications; excellent academic record; have a good command of English and are able to communicate well. The applicants should also have excellent programming skills and candidates with experience in Multimodal brain image computing and analysis, computer vision, pattern recognition or biometrics related work may expect preference.
Application Procedure:
Suitably qualified candidates are invited to submit a CV, cover letter initially. Short-listed candidates will be notified for submission of full application packages. Electronic submission of application is encouraged and can be sent to:
Prof. Manhua Liu
Email: mhliu@sjtu.edu.cn
Postdoc Research Fellows, University of Houston, Houston, TX, USA
University of Houston
Two postdoctoral positions are available for an exciting collaborative project between the University of Houston, five leading universities, and an industrial partner.
The position entails innovative research in identity recognition performance from low-resolution unconstrained video media captured from long range. The candidates will be part of a vibrant and pioneering team, and they will have the opportunity to develop and evaluate methods applied to actual data. Highly motivated and creative individuals with a recent Ph.D. in a computational discipline, first-author publications in top conferences and journals in Biometrics, and a strong drive for research are encouraged to apply. To succeed in this position, the applicant needs to be goal-oriented, self-sufficient, and able to work independently and in groups in a fast-paced research environment.
What we are looking for: 1) Talented and creative candidates who enjoy working in a multidisciplinary research environment; 2) Scholars with publications in top venues; 3) Strong computer vision and deep learning background and programming skills, and 4) Fluent communication skills (written and presentation) in English.
Application process: The salary compensation is very competitive. For consideration, please submit your application preferably in one single PDF document including a cover letter, a full CV, a statement of research interests and career goals, and the names and email addresses of three references to ioannisk@uh.edu, with the subject line "CV PD Application: (your name)." For more information, please email Prof. Kakadiaris (ioannisk@uh.edu). The review will be performed as the applications arrive.
Link:
https://www.linkedin.com/in/ioannisakakadiaris/
Biometrics Research Engineer, University of Houston, Houston, TX, USA
University of Houston
A Biometrics Research Engineer position is available for an exciting collaborative project between the University of Houston, five leading universities, and an industrial partner.
The position entails innovative research in identity recognition performance from low-resolution unconstrained video media captured from long range. Strong background and hands-on R&D experience in one or more of the following areas: face recognition, body detection/tracking, and 2D/3D pose estimation. A Ph.D. degree is preferred, but MSc with top-level conference/journal publication in CV/ ML area will be considered. Proficiency in Python and TensorFlow is a must.
We are looking for: 1) Talented and creative candidates who enjoy working in a multidisciplinary research environment; 2) Strong computer vision and deep learning background and R&D experience; 3) Strong programming skills, and 4) Fluent communication skills in English.
Application process: The salary compensation is very competitive. For more information, please email Prof. Kakadiaris (ioannisk@uh.edu). For consideration, please submit your application preferably in one single PDF document including a cover letter, a full CV, a statement of research interests and career goals, and the names and email addresses of three references to ioannisk@uh.edu, with the subject line "BRE PD Application: (your name)." The review will be performed as the applications arrive.
Link:
https://www.linkedin.com/in/ioannisakakadiaris/
