Bachelor-/ Master Thesis: »Development of ML-Algorithms for the optimization of food industry«

TN Germany; Aachen; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading research institute in Aachen is offering a Bachelor-/Master thesis opportunity focused on developing ML algorithms for optimizing production processes in the food industry. This role involves data preparation, model implementation, and collaboration in a dynamic team environment, providing ideal conditions for practical experience alongside studies.

Leistungen

Professional supervision

Flexible working hours

State-of-the-art facilities

Qualifikationen

• Studying computer science, mechanical engineering or a comparable subject.
• Initial experience in mathematical optimization models, ML, DL is advantageous.

Aufgaben

• Selection and preparation of provided data.
• Development of a concept for optimizing production planning processes.
• Implementation of mathematical models and algorithms.

Kenntnisse

Programming

Mathematical Optimization

Machine Learning

Deep Learning

Teamwork

German

English

Ausbildung

Computer Science

Mechanical Engineering

Jobbeschreibung

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Bachelor-/ Master Thesis: »Development of ML-Algorithms for the optimization of food industry«, Aachen

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Job Reference:

45d9be9b055a

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1

Posted:

16.05.2025

Expiry Date:

30.06.2025

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Job Description:

At the Fraunhofer IPT in Aachen, we work with more than 530 employees every day to make the production of the future more digital, more flexible and more sustainable. In the »production quality« department, we deal with technologies, processes and methods for optimizing production processes as well as quality assurance in manufacturing. In the research project funded by the European Union, solutions are to be developed for the effective and efficient sorting, handling and packaging of deformable products from the food industry, as these work processes present companies with particular challenges.

Focus of the thesis is the development of an optimization model that supports strategic decisions in production planning by providing employees with the best possible planning processes, taking into account various parameters. To this end, a concept is developed, various mathematical models and Machine Learning algorithms are selected and then tested and evaluated within a company environment.

What you will do

• Selection and preparation of provided data
• Selection and evaluation of suitable methods and algorithms
• Development of a concept for the optimization of production planning processes by taking into account given requirements
• Implementation of mathematical models and algorithms
• Validation and documentation of the results

What you bring to the table

• You are studying computer science, mechanical engineering or a comparable subject
• Ideally extensive knowledge in at least one programming language
• Initial experience in the field of mathematical optimization models, ML, DL is advantageous
• An independent way of working and enjoyment of interdisciplinary teamwork
• Good language skills in German and English

What you can expect

• Ideal conditions for practical experience alongside your studies
• Professional supervision and collaboration in a dedicated team
• A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
• Flexible working to combine study and job in the best possible way

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

For any further information on this position please contact:
Jan Hendrik Hellmich M.Sc.
Research assistant »production quality«
Phone: [phone]

Fraunhofer Institute for Production Technology IPT

Requisition Number: 78013 Application Deadline: