Postdoctoral Position/Data Scientist in Animal Nutrition 100%, Zurich, fixed-term Are you a data-savvy innovator eager to tackle pressing challenges in livestock sustainability? The Animal Nutrition Group at ETH Zurich is hiring a talented Postdoctoral Researcher or experienced Data Scientist to harness AI, machine learning, and statistical modeling on cutting-edge datasets in precision feeding, animal behavior and welfare, multi-omics and environmental impact. Join our interdisciplinary team to drive real-world breakthroughs in dairy cattle nutrition and beyond – apply today and shape the future of sustainable agriculture! Project background The Animal Nutrition Group, led by Prof. Mutian Niu at ETH Zurich's Institute of Animal Sciences, focuses on advancing sustainable livestock production through innovative nutritional strategies. Our research integrates hypothesis-driven experiments with data-driven approaches to enhance nutrient utilization efficiency in ruminants, particularly dairy cattle. Key areas include feed and feeding, nutritional physiology, precision livestock farming, and multi-omics approaches toward sustainable dairy farming, leveraging advanced statistical modeling, machine learning, and AI to uncover biological insights and optimize production efficiency, animal health and environmental impact. We are seeking a talented researcher to join our dynamic, interdisciplinary team and drive forward our computational efforts in these domains. The starting date is upon agreement Job description You will identify critical knowledge gaps, develop and apply machine learning models, statistical analyses, and AI-driven tools to analyze large-scale datasets of animals, including metabolomics, microbiomics, behavior, and production performance data. Responsibilities include: Designing and implementing statistical and machine learning models for nutrient metabolism, rumen function, physiological responses, and feed efficiency. Integrating multi-omics data with environmental and production metrics to support precision farm management strategies. Leveraging emerging methodologies (e.g., causal inference) to uncover complex biological functions. Collaborating with experimental biologists to validate models and translate insights into practical recommendations for sustainable farming. Contributing to grant proposals, publications in high-impact journals, and open-source tool development. For PhD holders, opportunities for independent research projects and mentoring junior team members; for experienced data scientists, focus on applied analytics within ongoing group initiatives. This position offers flexibility to align with your expertise, bridging computational innovation with biological applications in animal nutrition. Profile A PhD in data science, computer science, applied mathematics, bioinformatics, statistics, animal science, or a related field is preferred. Candidates with a Master's degree and 3+ years of relevant professional experience will also be considered. Strong expertise in statistical modeling, machine learning (e.g., supervised/unsupervised learning, deep learning), and AI frameworks (e.g., Python, R, TensorFlow, PyTorch). Experience with biological or animal science data (e.g., omics, time-series production data) is highly desirable; familiarity with ruminant nutrition, sustainability modeling, or precision agriculture is a plus. Proficiency in data handling, visualization, and high-performance computing (e.g., Python/R for analysis, cloud computing). Excellent communication skills and a collaborative mindset, with a track record of interdisciplinary work. Fluency in English (written and spoken). We seek a curious, proactive individual passionate about using data science to address global challenges in food security and environmental sustainability. Workplace We offer A stimulating research environment in a world-leading institution, with access to state-of-the-art facilities and datasets. Opportunities for professional growth, including conferences, collaborations with industry partners, and contributions to high-profile projects on dairy cattle welfare and breathomics. Competitive salary in accordance with ETH Zurich standards, flexible working hours, and support for work-life balance. Membership in a diverse, international team committed to innovative, impactful science. We at ETH Zurich are committed to building a diverse faculty and staff. We value and promote diversity and seek candidates who are committed to fostering an inclusive environment. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to your online application including: A cover letter outlining your motivation and fit for the role. A detailed CV with publication list and relevant experience. Contact details for 2-3 professional references. Optionally, a GitHub portfolio or examples of data science projects. Please submit your application via our online application system. Applications will be reviewed on a rolling basis, with a preferred start date in early 2026. For questions about the position, please contact Mutian Niu via email mutian.niu@usys.ethz.ch (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. If you apply for this position please say you saw it on Bioloxy

Postdoctoral Position/Data Scientist in Animal Nutrition

100%, Zurich, fixed-term

Are you a data-savvy innovator eager to tackle pressing challenges in livestock sustainability? The Animal Nutrition Group at ETH Zurich is hiring a talented Postdoctoral Researcher or experienced Data Scientist to harness AI, machine learning, and statistical modeling on cutting-edge datasets in precision feeding, animal behavior and welfare, multi-omics and environmental impact. Join our interdisciplinary team to drive real-world breakthroughs in dairy cattle nutrition and beyond – apply today and shape the future of sustainable agriculture!

Project background

The Animal Nutrition Group, led by Prof. Mutian Niu at ETH Zurich's Institute of Animal Sciences, focuses on advancing sustainable livestock production through innovative nutritional strategies. Our research integrates hypothesis-driven experiments with data-driven approaches to enhance nutrient utilization efficiency in ruminants, particularly dairy cattle. Key areas include feed and feeding, nutritional physiology, precision livestock farming, and multi-omics approaches toward sustainable dairy farming, leveraging advanced statistical modeling, machine learning, and AI to uncover biological insights and optimize production efficiency, animal health and environmental impact. We are seeking a talented researcher to join our dynamic, interdisciplinary team and drive forward our computational efforts in these domains.

**The starting date is upon agreement**

Job description

You will identify critical knowledge gaps, develop and apply machine learning models, statistical analyses, and AI-driven tools to analyze large-scale datasets of animals, including metabolomics, microbiomics, behavior, and production performance data.

Responsibilities include:

Designing and implementing statistical and machine learning models for nutrient metabolism, rumen function, physiological responses, and feed efficiency.
Integrating multi-omics data with environmental and production metrics to support precision farm management strategies.
Leveraging emerging methodologies (e.g., causal inference) to uncover complex biological functions.
Collaborating with experimental biologists to validate models and translate insights into practical recommendations for sustainable farming.
Contributing to grant proposals, publications in high-impact journals, and open-source tool development.
For PhD holders, opportunities for independent research projects and mentoring junior team members; for experienced data scientists, focus on applied analytics within ongoing group initiatives.

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

Profile

A PhD in data science, computer science, applied mathematics, bioinformatics, statistics, animal science, or a related field is preferred.
Candidates with a Master's degree and 3+ years of relevant professional experience will also be considered.
Strong expertise in statistical modeling, machine learning (e.g., supervised/unsupervised learning, deep learning), and AI frameworks (e.g., Python, R, TensorFlow, PyTorch).
Experience with biological or animal science data (e.g., omics, time-series production data) is highly desirable; familiarity with ruminant nutrition, sustainability modeling, or precision agriculture is a plus.
Proficiency in data handling, visualization, and high-performance computing (e.g., Python/R for analysis, cloud computing).
Excellent communication skills and a collaborative mindset, with a track record of interdisciplinary work.
Fluency in English (written and spoken).

We seek a curious, proactive individual passionate about using data science to address global challenges in food security and environmental sustainability.

Workplace

We offer

A stimulating research environment in a world-leading institution, with access to state-of-the-art facilities and datasets.
Opportunities for professional growth, including conferences, collaborations with industry partners, and contributions to high-profile projects on dairy cattle welfare and breathomics.
Competitive salary in accordance with ETH Zurich standards, flexible working hours, and support for work-life balance.
Membership in a diverse, international team committed to innovative, impactful science.

We at ETH Zurich are committed to building a diverse faculty and staff. We value and promote diversity and seek candidates who are committed to fostering an inclusive environment.

chevron_right Working, teaching and research at ETH Zurich

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

We look forward to your online application including:

A cover letter outlining your motivation and fit for the role.
A detailed CV with publication list and relevant experience.
Contact details for 2-3 professional references.
Optionally, a GitHub portfolio or examples of data science projects.

Please submit your application via our online application system. Applications will be reviewed on a rolling basis, with a preferred start date in early 2026. For questions about the position, please contact Mutian Niu via email mutian.niu@usys.ethz.ch (no applications).

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

If you apply for this position please say you saw it on Bioloxy

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