Optimization&AI Engineer Intern, 's-Hertogenbosch
Optimization&AI Engineer Intern, 's-Hertogenbosch
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5200 's-Hertogenbosch, Nederland
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Geplaatst op: minder dan een week geleden
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Onthouden
Advertentietekst
Join us in the DELMIA Quintiq Scheduler team as an Optimization&AI Engineer Intern, where you will work on advanced optimization solutions that tackle complex production and logistics challenges across global industries. During this internship, you will work on a dedicated research project focused on improving our optimization software. You will explore and test techniques that help our optimization software avoid getting stuck in suboptimal solutions and produce better scheduling results, while working closely with experienced R&D engineers and researchers. This is a 7-month internship, starting approximately in September 2026.
Role description&Responsibilities
Conduct a thorough review of relevant academic methods (e.g., sophisticated metaheuristics, large neighborhood search, advanced restart strategies) that can effectively deal with complex local optima in scheduling
Select one or more promising techniques, implement them as a proof‑of‑concept within our existing optimizer environment and test their performance on real‑world datasets
Analyze the current optimizer behavior, identify specific scenarios leading to local optima, and develop innovative methods to address these limitations
Document your research and results, providing clear, evidence‑based recommendations for potential integration into the core system
Collaborate closely with the R&D team and contribute to discussions on optimization improvements and industrial applications
Qualifications
Currently pursuing a Master’s degree in Operations Research, Computer Science, Econometrics, (Applied) Mathematics, or a related field
A strong foundation in optimization theory, algorithms, operations research, and data structures with a strong interest in scheduling
Proficiency in at least one (object‑oriented) programming language (C++, Java, or Python preferred)
Strong communication skills in English
Analytical mindset and proactive approach to problem‑solving
What’s in it for you
A unique opportunity to gain hands‑on experience in a global tech company
Exposure to real‑world projects and collaboration with experienced professionals in an international, multicultural team
A supportive environment that encourages learning, innovation and personal growth
Interested? Click on "Apply" to upload your application documents
#J-18808-Ljbffr
Role description&Responsibilities
Conduct a thorough review of relevant academic methods (e.g., sophisticated metaheuristics, large neighborhood search, advanced restart strategies) that can effectively deal with complex local optima in scheduling
Select one or more promising techniques, implement them as a proof‑of‑concept within our existing optimizer environment and test their performance on real‑world datasets
Analyze the current optimizer behavior, identify specific scenarios leading to local optima, and develop innovative methods to address these limitations
Document your research and results, providing clear, evidence‑based recommendations for potential integration into the core system
Collaborate closely with the R&D team and contribute to discussions on optimization improvements and industrial applications
Qualifications
Currently pursuing a Master’s degree in Operations Research, Computer Science, Econometrics, (Applied) Mathematics, or a related field
A strong foundation in optimization theory, algorithms, operations research, and data structures with a strong interest in scheduling
Proficiency in at least one (object‑oriented) programming language (C++, Java, or Python preferred)
Strong communication skills in English
Analytical mindset and proactive approach to problem‑solving
What’s in it for you
A unique opportunity to gain hands‑on experience in a global tech company
Exposure to real‑world projects and collaboration with experienced professionals in an international, multicultural team
A supportive environment that encourages learning, innovation and personal growth
Interested? Click on "Apply" to upload your application documents
#J-18808-Ljbffr
Belangrijke informatie
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BedrijfsnaamPowerToFly
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PositieOptimization&AI Engineer Intern
Veiligheidstips
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Meer informatie over deze advertentie
Optimization&AI Engineer Intern is geplaatst in de Den Bosch stages, afstudeeropdrachten rubriek op Locanto.
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