PhD on AI-Assisted Surrogate Modeling for Complex Systems

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PhD on AI-Assisted Surrogate Modeling for Complex Systems

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Job description

Offer DescriptionWe are excited to offer a PhD position within the EU-funded SmartEM project. SmartEM aim is to use AI-assisted methods to create surrogate models from heterogeneous data sources. The PhD position is focused on combining generative and symbolic AI methods for cost-effective, explainable and reliable modeling for complex industrial systems.Your role will involve creating efficient, reusable and accurate surrogate models from diverse data sources. The aim is to improve the understanding and optimization of complex industrial systems, where the current common practice is to employ very complex simulations in the design process for tuning and evaluating different design parameters. Surrogate models are simple and efficient models that could in principle replace complex and heavy simulation models. Our goal is to develop and evaluate surrogate models in an industrial setting.You will work towards the future of industrial process simulation by blending generative and symbolic AI techniques for developing and evaluating surrogate models. Possible research areas include:

• Developing generative methods to contextualize surrogate models.
• Merging machine learning with symbolic reasoning for reliable and explainable training of accurate surrogate models for individual components, and monitoring of complex systems composed of direct and surrogate models.
• Advancing adaptive surrogate modeling to maintain alignment with actual system changes.

You PhD work will take place within the cluster of the TU/e Department of Mathematics and Computer Science. The topic of the PhD position will be tailored to your research interests. The project offers collaboration with industrial partners, providing a chance to test your models in real-world scenarios. You will also collaborate closely with another SmartEM PhD candidate working on integrating machine learning with symbolic AI methods for reliable surrogate modeling.As a successful candidate, you will:

• Conduct high-impact scientific research on AI-Assisted Surrogate Modeling, ensuring practical validation of your findings in the SmartEM project.
• Contribute to publishing results at (international) conferences and journals.
• Collaborate with the other PhDs and researchers in this project.
• Collaborate with other groups and faculty members.
• Collaborate with selected SmartEM project partners, attend project meetings and contribute to deliverables and project outcome.
• Assist with educational tasks (e.g. support lab/course assignments and/or supervise (under)graduate/internships students).

Where to apply WebsiteRequirementsSpecific Requirements

• A master’s degree in Computer Science, Data Science, or a related field.
• A strong background in machine learning (specifically deep learning) and/or symbolic reasoning.
• Good programming skills and experience (Python, C, etcetera).
• Strong analytical and implementation skills.
• Good communicative skills and eagerness to work as part of a research team.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English.

Additional InformationBenefitsA meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own

. * An excellent technical infrastructure, on-campus children’s day care and sports facilities.

• An allowance for commuting, working from home and internet costs.
• A

and a tax compensation scheme (the 30% facility) for international candidates.Additional commentsAbout usEindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the .InformationDo you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Tanir Ozcelebi, Associate Professor, or +31 40 247 4426.Visit our website for more information about the or the You can also contact HR Services. .Are you inspired and would like to know more about working at TU/e? Please visit .ApplicationWe invite you to submit a complete application by using the apply button.
In your application, please submit:

• A research statement, including research experience and interests, and a short outline of the preferred future research direction (max. 1 page).
• A CV, including education history, relevant courses and theses, research experience (if available), a list of publications (if available), and teaching experience (if available).
• MSc and BSc transcripts
• Electronic copy of (or a link to) Master thesis.
• Electronic copy of publications (if available; if more than 3, please submit top 3). If no publications are available, please submit some substitute, e.g. presentations slides of a given presentation.
• Contact details of or recommendation letters from 2 referees.

We look forward to receiving your application and will screen it starting August 25th (i.e., before the vacancy deadline). The position may be filled early if a suitable candidate is found, so please do not wait until near the vacancy deadline to apply. Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Eindhoven University of Technology (TU/e) Country Netherlands City Eindhoven Postal Code 5612 AP Street De Rondom 70Contact CityEindhoven WebsiteStreetDe Rondom 70 Postal Code5612 APSTATUS: EXPIREDShare this page

Expected salary

€2770 – 3539 per month

Location

Eindhoven, Noord-Brabant

Job date

Fri, 19 Jul 2024 04:41:04 GMT

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