Postdoctoral Position/Data Scientist in Animal Nutrition

Opportunity Overview

Are you a data-savvy innovator eager to tackle pressing challenges in livestock sustainability? Join a talented team that is harnessing AI, machine learning, and statistical modeling on cutting-edge datasets in precision feeding, animal behavior, welfare, multi-omics, and environmental impact.

This is an opportunity to drive real-world breakthroughs in dairy cattle nutrition and contribute to the future of sustainable agriculture.

Project Background

Our research focuses on advancing sustainable livestock production through innovative nutritional strategies. By integrating hypothesis-driven experiments with data-driven approaches, we aim to enhance nutrient utilization efficiency in ruminants, particularly dairy cattle. Key areas of research include:

• Feed and feeding strategies
• Nutritional physiology
• Precision livestock farming
• Multi-omics approaches towards sustainable dairy farming

We leverage advanced statistical modeling, machine learning, and AI to uncover biological insights and optimize production efficiency, animal health, and environmental impact.

Role Overview

Your primary goal will be to identify critical knowledge gaps and develop machine learning models, statistical analyses, and AI-driven tools to analyze large-scale datasets related to animal health and performance. Responsibilities will include:

• Designing and implementing statistical and machine learning models for nutrient metabolism and feed efficiency
• Integrating multi-omics data with environmental metrics
• Utilizing emerging methodologies to uncover complex biological functions
• Collaborating with experimental biologists to validate models
• Contributing to grant proposals and high-impact publications

This role offers flexibility to align with your expertise, bridging computational innovation with biological applications in animal nutrition.

Candidate Profile

• A PhD in data science, computer science, applied mathematics, bioinformatics, statistics, animal science, or a related field is preferred.
• Master's degree holders with 3+ years of relevant experience will also be considered.
• Strong expertise in statistical modeling and machine learning frameworks is essential.
• Experience with biological or animal science data is desirable.
• Proficiency in data handling, visualization, and high-performance computing is expected.
• Excellent communication skills and a collaborative mindset are key.
• Fluency in English (written and spoken) is required.

We seek a curious, proactive individual with a passion for addressing global challenges in food security and environmental sustainability through data science.

Workplace Environment

You will be part of a stimulating research environment in a world-leading institution, working with state-of-the-art facilities and datasets. This role offers opportunities for professional growth, including participation in conferences and collaborations on high-profile projects. Enjoy a competitive salary, flexible working hours, and support for work-life balance within a diverse, international team committed to impactful science.

Diversity and Inclusion

We are committed to fostering an inclusive environment that values diversity and promotes equality of opportunity. We strive to ensure a fair and open atmosphere that allows everyone to grow and thrive.

Get Involved

Join us to be at the forefront of scientific innovation and make a meaningful impact in the field of animal nutrition and sustainability.