From listmaster animalgenome.org Fri Jul 19 18:31:21 2024
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From: "Christian Maltecca" <cmaltecncsu.edu>
Postmaster: submission approved by list moderator
To: Members of AnGenMap <angenmapanimalgenome.org>
Subject: Assistant Professor Position in AI Applied to
Food-Animal Systems at North Carolina State
University
Date: Fri, 19 Jul 2024 18:31:21 -0500
Dear colleagues,
North Carolina State University has an exciting position opening for an
Assistant Professor in AI Applied to Food-Animal Systems.
Below is the job description. A full description and information on how to
apply can be found at
https://jobs.ncsu.edu/postings/205226
Any inquiries regarding this position can be sent to Christian Maltecca at:
cmaltecncsu.edu
Cheers
Christian
==========================================================
Agriculture and the life sciences are undergoing a technological revolution
with the adoption and use of artificial intelligence (AI). The availability of
large amounts of data or “big data” surrounding food-animal agricultural
production is growing, and this data is increasingly heterogeneous, presenting
a challenge to traditional methods to process and estimate meaningful
relationships critical to informed decision-making.
Building upon existing strengths in the College of Agriculture and Life
Sciences (CALS) and across the university, this position will provide AI
expertise applied specifically to food-animal systems. We are seeking a
candidate with broad expertise in AI, machine learning, computer vision,
imaging systems, decision intelligence, and modeling biological systems, with
a focus on digital animal agriculture and specifically livestock and/or
poultry production and downstream processing operations.
Essential Job Duties
This 9-month tenure-track position at the rank of Assistant Professor comes
with an 80% research and 20% teaching appointment. The successful candidate
will engage in cutting-edge research to address critical challenges in the
agricultural sector, leveraging AI techniques to optimize processes, improve
yield, and enhance sustainability. Additionally, the candidate will
collaborate closely with Extension faculty across CALS, fostering synergistic
relationships between research findings and practical applications in the
field. The successful candidate should contribute to research and teaching
activities in integrated animal, food, and/or plant production, climate
change, and/or sustainability.
Areas of Expertise
We are specifically interested in candidates with expertise in several of the
following areas:
Develop AI algorithms and models: Design, develop, and implement advanced AI
algorithms and models to optimize various aspects of food production and
animal systems in agriculture. This includes predictive modeling, optimization
algorithms, and decision support systems.
Data collection and analysis: Collect and analyze large datasets related to
animal and food systems, including livestock performance, environmental
factors, and market trends. Use statistical methods and machine learning
techniques to extract meaningful insights from the data.
Livestock management: Apply AI techniques to improve livestock management
practices, such as feed and nutrition optimization, disease detection, and
breeding programs. Develop predictive models for livestock health,
performance, and nutrient management, enabling early intervention and
proactive management strategies.
Supply chain optimization: Collaborate with supply chain stakeholders to
develop AI-driven solutions for optimizing the food supply chain, from farm to
fork. This includes demand forecasting, inventory management, and logistics
optimization to reduce waste, enhance efficiency, and contribute to life cycle
sustainability.
Integration with emerging technologies: Stay abreast of emerging technologies
in AI, IoT, robotics, and blockchain, and explore opportunities to integrate
these technologies into agricultural systems for improved performance and
sustainability.
Cross-functional collaboration: Work closely with animal scientists,
agronomists, engineers, and other stakeholders to translate AI-driven insights
into actionable recommendations and solutions. Collaborate with
multidisciplinary teams to address complex challenges in food and animal
systems.
Facilities and Collaboration
The position will benefit from the development of NC State’s Lake Wheeler
Field Lab and 21 other research stations and field laboratories into a modern
research, education, and demonstration farm. This farm is designed to be fully
instrumented and reconfigurable for demonstrating, testing, and innovating
livestock production systems. It will feature livestock housing systems of a
high industry standard, fully instrumented, and networked to facilitate the
development and use of precision animal agriculture technologies. Lake Wheeler
Field Lab, as a “Forefront Farm,” should also form the hub of a network for
precision animal infrastructure installed at other major NC State livestock
research facilities and at participating industry sites, serving to build a
powerful data collection and analysis network.
Candidate Qualifications
The search welcomes candidates from diverse disciplines with a background in
AI relevant to CALS’ mission. Candidates should hold a Ph.D. in their field
and demonstrate potential for developing a nationally recognized program in
research, extension, and teaching. The tenure department within CALS will be
determined based on the candidate’s credentials, with strong encouragement for
affiliations and collaborations across departments.
This position aims to enhance AI expertise within CALS and the broader
university, focusing on its application in agriculture and life sciences. We
seek a tenure-track Assistant Professor familiar with food animal agriculture
with expertise in computational sciences such as AI, machine learning,
computer vision, and modeling. The position emphasizes practical applications
addressing resilience, climate change, and sustainability challenges in
integrated animal and food production systems. The successful candidate will
teach interdisciplinary undergraduate and/or graduate courses on AI and
decision support systems, engage in multidisciplinary research, and
collaborate with initiatives like the Food-Animal Initiative (FAI) and Plant
Sciences Initiative (PSI). The candidate will also lead coordination efforts
for AI research within CALS and represent the field nationally and
internationally.
You Belong Here!
At NC State, our goal is for all employees to reach their fullest potential at
work. As you consider this opportunity, we encourage you to review our
Employee Value Proposition here and learn more about what makes NC State the
best place to learn and work for everyone.
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