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Sunil Aryal

1 year ago

AI, Machine Learning, Agriculture, Advanced Manufacturing Deakin University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

Australia

University

Deakin University

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Keywords

Computer Science
Environmental Science
Agriculture
Mechanical Engineering
Electrical Engineering
Remote Sensing
Artificial Intelligence
Manufacturing Engineering
Computer Vision
Python Programming
Metallurgy
Mining Engineering
Internet Of Things
Business Analytics
Machine learning

About this position

?? PhD Opportunities?? With our colleagues/collaborators at the Indian Institute of Technology, Madras (ITTM), we have two PhD opportunities under the Deakin-IITM Cotutelle program in the areas of application of AI and Machine Learning in Agriculture and advanced manufacturing.
?? Project 1: Application of Machine Learning in Steel Processing
Link: https://lnkd.in/eAwuCmqh
Supervisors: Dr. Ajay Kumar Shukla (IITM Madras), Dr Michael Hobbs , and Myself (Deakin)
Expertise/skills required: Good understanding of fundamental machine learning and data analytics concepts, python programming, metallurgy and mining engineering
Contact: Dr Michael Hobbs ( m.hobbs@deakin.edu.au )

?? Project 2: An Agentic artificial intelligence framework for Agricultural Technologies
Link: https://lnkd.in/egSYvirc
Supervisors: Dr Innocent Nyalala (IITM Zanzibar), Dr Kallol Krishna Karmakar and Myself (Deakin)
Expertise/skills required: Good understanding of fundamental machine learning and computer vision concepts, python programming, IoT and remote sensing
Contact: Dr Kallol Krishna Karmakar ( kallol.karmakar@deakin.edu.au )

This is a joint PhD opportunity between Deakin University and IIT Madras. The student will be primarily based at Deakin University Australia, and will travel to the IIT Madras in India and Zanzibar (Tanzania) for a duration of 3 months to 1 year.

?? Please check Deakin PhD entry requirements before contacting my colleagues, particularly H1 equivalent grade in master's or honours degree, demonstrable substantial research experience (master's or honours thesis and/or publications), and English requirement. Please visit the link below for more information about the Deakin IITM Cotutelle program, including eligibility criteria and the application process.
https://lnkd.in/ePdv8Pcm

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

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