⛔ This position is no longer available.
University: Dalhousie University
Country: Canada
Deadline: Not specified
Fields: Computer Science, Artificial Intelligence, Data Science, Agricultural Engineering, Animal Science
Topic: Canada – Postdoctoral Fellowship in AI & Digital Livestock at Dalhousie University
Fields: Computer Science, Artificial Intelligence, Data Science, Agricultural Engineering, Animal Science
Position: postdoc
Country: canada
Deadline: Not specified
Main Category: computer & data sciences
University: Dalhousie University
Real Country: Canada
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Are you passionate about harnessing artificial intelligence to revolutionize sustainable agriculture and improve animal welfare? If you are seeking to lead multidisciplinary research at the crossroads of AI, digital twins, and precision livestock systems, this postdoctoral fellowship at Dalhousie University could be the ideal next step in your academic career.
About the University or Research Institute
Dalhousie University, located in Halifax and Truro, Nova Scotia, is one of Canada’s leading research-intensive universities. With a proud history dating back to 1818, Dalhousie is renowned for its commitment to innovation, interdisciplinary collaboration, and global impact. The university hosts a vibrant academic community, attracting scholars and students from across Canada and around the world.
The Faculty of Computer Science, based in Halifax, is recognized for its cutting-edge research in artificial intelligence, data science, and digital innovation. The Faculty of Agriculture, situated in Truro, is a national leader in agricultural research, technology, and education. This unique collaboration provides a fertile environment for interdisciplinary work, particularly at the interface of computer science and agriculture.
Canada itself is celebrated for its high quality of life, multicultural society, and strong investment in research and development. International scholars benefit from a welcoming academic environment, robust research infrastructure, and numerous opportunities for professional growth.
Research Topic and Significance
The central focus of this postdoctoral fellowship is the advancement of AI-enabled digital livestock systems. As the agricultural sector transitions toward smart, data-driven practices, the integration of artificial intelligence and digital twin technologies is becoming increasingly vital. These innovations enable real-time monitoring, predictive analytics, and optimized management of livestock systems, leading to enhanced animal welfare, productivity, and sustainability.
Digital twins—virtual representations of physical livestock systems—combined with multimodal sensing and machine learning, provide unprecedented insights into animal behavior, health, and environmental interactions. The research also encompasses cybersecurity for digital agriculture, ensuring the integrity and privacy of sensitive agricultural data. By contributing to these emerging fields, the successful candidate will play a pivotal role in shaping the future of precision livestock farming and resilient food systems.
Project Details
The postdoctoral fellow will join the MooAnalytica Research Group at Dalhousie University, led by Dr. Suresh Neethirajan, a recognized leader in AI-driven agricultural innovation. The group’s research portfolio includes:
– Development of AI-enabled digital twins for dairy and poultry systems.
– Multimodal sensing and machine learning for detailed animal behavior analysis.
– Video and sensor-based analytics for livestock welfare monitoring.
– Cybersecurity and robust data infrastructure for digital agriculture.
– Creation of training materials and workforce programs in agricultural cybersecurity.
The successful candidate will be based at the Faculty of Computer Science in Halifax, with collaborative ties to the Faculty of Agriculture in Truro. The appointment is initially for one year, with the possibility of renewal for a second year, contingent upon performance and funding.
Key responsibilities include leading research and development in AI and digital twin systems, supervising and mentoring graduate and undergraduate students, contributing to high-impact publications, developing technical materials for cybersecurity training, and supporting collaborative research initiatives.
Candidate Profile
This position is best suited for candidates with a strong record of independent research and leadership in relevant fields. Suitable applicants will have:
– A PhD in Computer Science, Artificial Intelligence, Data Science, Agricultural Engineering, or a closely related discipline.
– Advanced programming skills, particularly in Python, and experience with machine learning frameworks and data processing pipelines.
– Demonstrated expertise in machine learning, computer vision, or multimodal data analysis.
– Experience supervising or mentoring student researchers.
– Evidence of research productivity, such as peer-reviewed publications.
– Strong organizational and project management skills, with the ability to manage multiple research projects simultaneously.
Preference will be given to candidates with experience in computer vision, sensor data fusion, IoT systems, digital twin systems, precision livestock farming, or AI applications in biological or environmental systems. Familiarity with open-source software development, version control (e.g., Git), and reproducible research practices is considered an asset.
Applicants should possess excellent communication skills and a collaborative mindset, capable of working across disciplines such as computer science, agriculture, and engineering.
Application Process
Applications are reviewed on a rolling basis until the position is filled.
Required application materials include:
– Curriculum Vitae.
– Statement of research interests.
– Two representative publications.
– Contact information for three references.
For full details and to apply, please refer to the official advertisement at:
https://www.researchgate.net/job/1035906_Postdoctoral_Fellow-Artificial_Intelligence_and_Digital_Livestock_Systems
Conclusion
This postdoctoral fellowship offers a unique opportunity to lead innovative research at the intersection of artificial intelligence and agricultural technology, with significant potential for societal impact. If you are driven to advance digital livestock systems and contribute to the future of sustainable agriculture, you are encouraged to apply. Stay connected for similar opportunities and further your career in one of Canada’s premier research environments.
Questions & Answers
Question: What is the main focus of this postdoctoral fellowship?
The fellowship centers on developing AI-driven digital livestock systems, including digital twins, multimodal sensing, and machine learning for animal welfare and precision agriculture.
Question: Who is eligible to apply for this position?
Applicants must hold a PhD in Computer Science, Artificial Intelligence, Data Science, Agricultural Engineering, or a related field, with demonstrated research productivity and experience in relevant technical areas.
Question: What are the key skills required for this fellowship?
Strong programming skills (especially Python), experience with machine learning and data processing, ability to supervise students, project management, and a collaborative mindset are essential.
Question: What is the duration of the appointment?
The initial appointment is for one year, with the possibility of renewal for a second year based on performance and funding.
Question: Where will the fellow be based?
The fellow will be based at the Faculty of Computer Science at Dalhousie University in Halifax, Nova Scotia, with collaborative activities involving the Faculty of Agriculture in Truro.
Question: Is there a specific application deadline?
There is no fixed deadline; applications are reviewed on a rolling basis until the position is filled.
Question: What documents are required for the application?
Applicants should submit a CV, statement of research interests, two representative publications, and contact information for three references.
Question: What are the benefits of working at Dalhousie University and in Canada?
Dalhousie offers a world-class research environment, opportunities for interdisciplinary collaboration, and access to excellent research infrastructure. Canada is known for its high quality of life, multicultural society, and support for research and innovation.
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