I and Dan DongSeong Kim are looking for a student for the joint Ph.D. program at the University of Queensland and Indian Institute of Technology Delhi (UQIDAR). In this joint project, we plan to develop an adversarial AI-driven framework for designing and evaluating an intrusion detection system that can detect cyber-attacks against IoT networks. For more details, please take a look at https://uqidar.org/projects/adversarial-ai-attacks-and-defenses-in-intrusion-detection-system-for-iot/

#India #Australia #PhDScholarships #uqidar #iitdelhi #uq #research #ai #artificialintelligence #machinelearning #cybersecurity

I am interested to take some PHD students who want to do their PHD in following or similar areas:
Deep Learning, Machine Learning, and Compressed Sensing,
Signal, Image, Speech, and Video Processing,
Natural language Processing and Robotics
Those who are interested can apply.
#machinelearning #robotics #deeplearning #video #language #signal #phd

🌱🤖🌾 Ph.D. and MSc Openings in Plant Phenotyping and Crop Growth Monitoring 🌾🤖🌱

Join Dr. Shangpeng Sun's group at McGill University, and be a part of cutting-edge research in machine learning, robotics, computer vision, and remote sensing technologies for plant phenotyping and crop growth monitoring. Two Ph.D. and one Master's positions are available for the September 2024 semester.

Key Details:
- Application Deadline: January 15, 2024
- Expected Starting Date: September 2024
- Web: [Shangpeng Lab - McGill University](https://shangpenglab.github.io/)
- Google Scholar: [Shangpeng Sun's Google Scholar Profile](https://scholar.google.com/citations?user=HZOdEIAAAAI&hl=en)

About McGill University:
McGill University, a renowned research university founded in 1821, is situated in Montreal, Quebec, Canada. It consistently ranks among the top universities in the world and is 1st in Canada (Maclean's annual ranking) and 27th globally (QS World University Ranking 2022).

Position Description:
- 2D/3D imaging data processing for plant shoot/root architecture analysis.
- Sensor fusion (RGB-D, thermal, multispectral/hyperspectral) for high-throughput plant phenotyping.
- Crop growth and development modeling.
- Agricultural robotics and automation.

Qualifications:
- Applicants should have a B.S./M.S. degree in Agricultural Biological Engineering, Computer Science, Electrical Engineering, or related engineering fields upon program enrollment.
- Proficiency in computer programming (Matlab/Python/C++), image/point cloud processing, mathematical modeling, and strong communication skills.
- Organized, self-motivated, and open to multidisciplinary collaboration.

Application Procedures:
To express your interest or inquire about these positions, please email Dr. Shangpeng Sun at shangpeng.sun@mcgill.ca with the subject "Prospective master/PhD student_Your name." Applications will be screened continuously until the positions are filled.

Due to a high volume of emails, individual inquiries may not receive responses. For more application details, visit the [McGill Graduate Applicants Portal](https://www.mcgill.ca/gradapplicants/how-apply).

Kickstart your journey in cutting-edge research and technology at McGill University, and contribute to advancements in plant phenotyping and crop growth monitoring. 🌾🤖🎓

#phd #canada #msc #opportunity #plant #machinelearning #robotics