Master’s Student – Thesis in Method Evaluation and Protocol Optimization

Novonesis; Pohlheim; Vor Ort; EUR 10.000 - 12.000; Vollzeit

Zusammenfassung

Novonesis is seeking a motivated Master’s student for a thesis focused on evaluating and optimizing working protocols, with emphasis on color analysis methods. The position is on-site in Pohlheim, near Gießen, and requires approximately 38 hours per week.

You will perform tests, apply analytical methods, and use statistical tools to interpret data, documenting results and contributing to the lab’s activities in a collaborative team environment.

Qualifikationen

• Currently pursuing a Master’s degree in food technology, biotechnology, biochemistry, food chemistry, or a related field.
• Practical laboratory experience in one of these areas.
• Knowledge of analytical methods and statistical data evaluation.
• Confident communication in German and English.
• Highly motivated, proactive, and able to work independently while collaborating with a team.

Aufgaben

• Plan, perform, and evaluate tests to assess methods for color analysis.
• Apply analytical test methods in a practical, application-oriented way.
• Use statistical tools to evaluate and interpret data.
• Document and present results clearly.
• Contribute to the team’s laboratory activities and project work.

Kenntnisse

Analytical methods

Statistical data evaluation

Laboratory experience

German and English communication

Independent working

Ausbildung

Master's degree in food technology, biotechnology, biochemistry, food chemistry or related field

Jobbeschreibung

Interested in a career that matters? Master’s Student – Thesis in Method Evaluation and Protocol Optimization Location: Pohlheim, Germany Working hours: Approximately 38 hours per week, on-site Compensation: €1,000 per month Novonesis is looking for a motivated Master’s student to prepare a thesis focused on the evaluation and optimization of working protocols, with a particular focus on methods for color analysis.

About the team

You will join the Food & Beverage Biosolutions division at Novonesis. Our department develops ingredients for the global meat, plant-based meat alternatives, and prepared foods industries. We also support producers in applying our biosolutions effectively. You will become part of a team of 17 skilled colleagues working in an inspiring and positive atmosphere. Our facilities include state-of-the-art laboratories and a well-equipped meat pilot plant, which serves as Novonesis’ global center of excellence for meat, plant-based meat alternatives, and prepared foods.

Your responsibilities

• Plan, perform, and evaluate tests to assess methods for color analysis
• Apply analytical test methods in a practical, application-oriented way
• Use statistical tools to evaluate and interpret data
• Document and present results clearly
• Contribute to the team’s laboratory activities and project work

Your profile

• You are currently studying for a Master’s degree in food technology, biotechnology, biochemistry, food chemistry, or a related field
• You have practical laboratory experience in one of these areas
• You have good knowledge of analytical methods and statistical data evaluation
• You communicate confidently in German and English
• You are highly motivated, proactive, and able to work independently
• You are also a collaborative team player with strong communication skills

Working conditions

This position is based on-site in Pohlheim, near Gießen, and involves approximately 38 hours of work per week.

Our purpose guides the way

In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless.

Opportunities for everyone

We are committed to an inclusive recruitment process and equal opportunity for all applicants. We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.