Postdoc Jobs i Denmark

Location : Videbæk, DK

Join us on an exciting journey as we seek an ambitious Industrial PostDoc for transformative two-year project. This unique opportunity involves pioneering the development and implementation of cutting-edge visual analytics and machine learning techniques to unravel insights from extensive datasets derived for diverse mass spectrometry (omics) analysis. Be at the forefront of innovation and make a significant impact in the world of data-driven science.

This project is a collaborative effort between R&D at Arla Foods Ingredients and the Department of Computer Science at Aarhus University.

Arla Foods Ingredients (AFI) is an independent company within the Arla Foods Group, consisting of a little over 2000 colleagues globally. Our headquarters is located in Aarhus, Denmark. How-ever, we have a global presence with subsidiaries and regional sales offices spanning South America, Asia, Europe, and Northern America.

We are the global leader in improving premium nutrition and our purpose is clear : Together we discover and deliver powerful nutrition for a stronger tomorrow. Together with our customers, research partners, suppliers, NGO´s and others, we discover and deliver ingredients and products that can advance lifelong nutrition for the benefit of consumers around the world.

By joining us, you’ll find plenty of opportunities to shape your own development in a company that has achieved double-digit growth every year for a quarter of a century. While our factories may be packed with shiny steel vats, our labs look like something from the space program and our offices are awash in spreadsheets, we are a fundamentally human company with a genuine commitment to sustainability.

Learn more about AFI here : Job & Career | Arla Foods Ingredients

How you will make an impact

At Arla Foods Ingredients, you will work with and be supervised by experts in mass spectrometry, analytical chemistry, nutrition science, and dairy science. You will also collaborate closely with external partners at Aarhus University, where you will have a desk and be supervised by experts in data visualization and machine learning.

Who are you?

You hold a PhD in Computer Science, Bioinformatics, Computational Biology, Biostatistics, or a related field. Your expertise includes visualization and bioinformatic investigation of complex datasets, such as dimensionality reduction, clustering, and aggregation. You are curious and eager to understand mass spectrometry, protein digestion, and dairy science.

In addition, you preferably have competences within the following disciplines :

• Knowledge of data analytics techniques and tools, including machine learning and data visualization.
• Extensive research experience with proven documentation (e.g., peer-reviewed publications).
• Experience in analyzing and interpreting large datasets using programming languages (e.g., Python).
• Proficiency in building stand-alone software solutions for research (e.g., web-based software).

Beyond scientific competence, to succeed in this role, you :

Contact and application

If you want to seize this exciting opportunity please apply before the 10th of March. We will review applications and hold reviews on an ongoing basis – therefore please apply as soon as possible. For additional information, please call Senior R&D Manager Laila Vestergaard Sørensen at +45 9131 7826.

We have a purpose for Good

At Arla, we strive to unlock the highest potential in each other while working together to create a sustainable future of dairy. We call it Stronger People Stronger Planet and it is deeply anchored in our organisation and founded on our commitment to respecting human rights, increasing access to healthy dairy nutrition, inspiring good food habits, and improving the environment for future generations. In order to succeed we need to hire people with a sustainable mindset. Could this be you?

BEWARE! RECRUITMENT FRAUD

It has come to our attention that there are a number of fraudulent emails and fake recruitment campaigns on the internet from people purporting to work for Arla Foods. Learn more via this link .

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