Our Opening and Your Responsibilities
Our global Industrial Division offers Automation Products and Solutions which enable our customers to increase productivity, achieve high uptime and reduce waste.
Our R&D Competence Center, established in Switzerland in 2023, is focused on developing data-based solutions to provide effective solutions for a range of customer use cases, by leveraging sensor data and our terminal as a key-component in edge computing.
We are committed to enhancing our capabilities in predictive maintenance. We are seeking a motivated Master's student for 6-9 months to contribute to this critical area, offering a unique opportunity to work on real-world problems and contribute to the development of our future data science framework/platform.
We are looking for someone for a Data Science Internship in Rate Control optimization 80-100% (all genders).
In this role, your responsibilities would include:
- You collaborate with the data science team to understand project requirements and objectives
- You design and implement algorithms for process optimization, focusing on controller performance and robustness, adapting to different environments automatically
- You develop and maintain data pipelines for efficient data collection, processing, and analysis
- You apply machine learning and statistical models to predict process behaviors and identify optimization opportunities
- You conduct rigorous testing and validation of models and algorithms to ensure reliability and accuracy
- You document all research findings, code, and methodologies and participate in regular team meetings to discuss progress, challenges, and strategies
Following requirements are necessary for this role:
- You are currently enrolled in or graduated from Master's program in Data Science, Control Engineering/Automation, or a related field
- You have a strong foundation in control theory, especially in PID control and optimization techniques
- You are proficiency in Python, including experience with data science and machine learning libraries (e.g., Pandas, Scikit-learn, TensorFlow, or PyTorch)
- You are experienced in building and maintaining data pipelines
- You have a solid understanding of data analysis, statistical modeling, and machine learning algorithms
- You have excellent problem-solving skills and the ability to work independently and collaboratively within an international team
We offer:
- Flexible working hours (depending on the role), a hybrid work model, and a wide portfolio of training opportunities
- A 40-hour work week with at least 25 vacation days per year, plus 4 to 7 additional days off between bank holidays
- Free parking and direct access to public transport
- Healthy lunches cooked onsite at our own METTLER TOLEDO restaurant, with special prices for employees
- A range of additional attractive benefits, including employee discounts at select area businesses
You can expect challenging, interesting, and varied tasks in an innovative and international environment, with the opportunity to network globally and achieve your career goals.
Are you interested? Then we look forward to receiving your online application. If you have any questions, please do not hesitate to contact us. Our e-mail address is
ta-ch@mt.com.
We do not consider applications submitted by agencies for this job opening.
METTLER TOLEDO is a leading global supplier of precision instruments and services. We are recognized as an innovation leader and our solutions are critical in key R&D, quality control, and manufacturing processes for customers in a wide range of industries including life sciences, food, and chemicals. We operate throughout the world with a culture shaped by innovation and international flair.
Equal Opportunity Employment
We are an equal opportunity employer and value diversity at our company. We give consideration for employment without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, or any other protected classification. You can find more details in our
Equal Employment Opportunity Policy.
Bagi mereka yang memprioritaskan presisi, Mettler Toledo adalah tempat yang tepat bagi Anda.
# Referensi pekerjaan
15952
Lokasi yang diinginkan
Zürich
Badan hukum
Mettler-Toledo GmbH
Im Langacher 44 8606 Greifensee Schweiz
