Master Thesis in the Field of Combining Physical Models with Artificial Intelligence to Optimize Cycle Times in Injection Molding Processes
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Job role insights
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Date posted
September 5, 2024
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Closing date
November 4, 2024
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Offered salary
€90,000 - €120,000/year
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Experience
0 Years
Description
Master Thesis in the Field of Combining Physical Models with Artificial Intelligence to Optimize Cycle Times in Injection Molding Processes
Job Description:
- Join a global technology group dedicated to developing cutting-edge technologies and excellent products for various markets. We are looking for a passionate individual to support our team in a master thesis focused on integrating physical models with artificial intelligence to enhance injection molding cycle times.
IT Languages:
- Python
- Matlab
As part of this role, you will be responsible for conducting in-depth analysis and evaluation of theoretical approaches related to energy input in injection molding. Your tasks will include the following::
- Analyze and evaluate various theoretical approaches to determine energy input in the injection molding process, Develop and enhance simulation models to predict required cycle times in elastomer injection molding, Generate data using Design of Experiments or Computational Fluid Dynamics, Validate modeling approaches against real-world data
Spoken Languages:
- English, German
Skillset:
- Analytical skills
- Programming in Python
- Knowledge of simulation modeling
- Understanding of injection molding processes
- Creative problem-solving
Qualifications:
- Master of Science studies in mechanical engineering
- process engineering
- plastics engineering or related fields
- Strong understanding of heat transfer theory
- computational fluid dynamics
- or machine learning
- Proficient programming skills in Python
- Familiarity with injection molding processes is a plus
- Demonstrated commitment
- flexibility
- initiative
- and creativity
Years of Experience:
- 0
Location:
- Europe
Job Benefits:
- Flexible working hours
- Access to cutting-edge technology
- Continuous learning and development opportunities
- Collaborative team environment
- Potential for career advancement
Working Conditions:
- Full Time
Employment Type:
- Master Thesis
Company Culture:
- We foster a diverse and inclusive environment where innovation thrives. Our culture encourages collaboration
- creativity
- and the pursuit of excellence.
Opportunities For Advancement:
- Potential to transition into a full-time role after graduation
- Mentorship opportunities within the organization
- Access to professional development programs
visa Sponsorship:
- Available
Interested in this job?
0 days left to apply