Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Internship / school internship
- Location
- Ludwigshafen am Rhein
- Working Model
- Onsite
Job Summary
In this project, you analyze P&ID data and develop a neural network for quality checking flow diagrams, leveraging deep learning and graph databases for efficient processing.
Job Technologies
Your role in the team
- Piping and Instrumentation Diagrams (P&ID diagrams) represent process engineering plants schematically and functionally.
- As part of the master's thesis, it will be investigated whether a neural network can be trained using Deep Learning based on R&I data and whether the trained neural network can be used for quality inspection of R&I flow diagrams.
- The task can be divided as follows:
- They analyze the graph and investment data and create a suitable training dataset.
- Building on that, you design an appropriate architecture for a neural network to process the P&ID data.
- You are responsible for training and optimizing the neural network with the prepared data.
- Finally, validate the model performance and visualize the results.
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Our expectations of you
Education
- Ongoing master's degree in computer science, data science, engineering, or a comparable program.
Qualifications
- Knowledge in Deep Learning and neural networks.
- Independent, analytical working style and interest in developing innovative solutions to a practically relevant issue.
Experience
- Practical experience in Python and with frameworks such as PyTorch (or comparable).
- Ideally, experience with graph databases (e.g., Neo4j) and an interest in graph analysis.
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What we offer
- Practical phase - Actively apply theory in challenging and diverse tasks/projects.
- Teambuddy - Contact person for all questions as well as regular feedback.
- Networks - getting to know different perspectives, ways of thinking, and areas of work.
- Internship compensation - a recognition of the effort, more information here: on.basf.com/VerguetungBASFSE.
- Flexible working hours - depending on the location and area of deployment.
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Benefits
Work-Life-Integration
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Topics that you deal with on the job
Job Locations
This is your employer
BASF SE
We are the best chemists in the world because we offer smart and sustainable solutions. Through our ingenuity, we help our customers build their businesses while improving the future of our planet.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.0
Career Growth
2.5Workingconditions
3.7Culture
3.0Engineering
3.0
Master's student in Deep Learning with graph databases for P&ID diagrams
- Location
- Ludwigshafen am Rhein
- Working Model
- Onsite
- Diversity
- Open for all genders
