Postdoc In Multi-modal Open-Source Foundation Models
Postdoc In Multi-modal Open-Source Foundation Models
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Job Description
Departments Department of Mathematics and Computer Science
Eindhoven 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.
With over 110 (assistant associate and full) professors almost 300 PhD and EngD students about 1500 Bachelor students and 1000 Master students the Department of Mathematics and Computer Science (M&CS) is the largest department of the TU/e. By performing top-level fundamental and applied research and maintaining strong ties with industry M&CS aims to contribute to science and innovation in and beyond the region.
Short introduction
Join a groundbreaking project to develop next-generation open-source multi-modal foundation models. Collaborate with top research labs and experts to create transparent efficient high-performing models with novel capabilities that democratize access to AI. Apply now!
Job Description
We are seeking a highly motivated postdoctoral fellow to join our research team in an ambitious 4-year project on next-generation multimodal open-source foundation models. Youll be part of an excellent team of scientists covering the full spectrum from model development to evaluation and real-world use cases.
Snapshot
Artificial Intelligence is reshaping our world. Now you get to shape AI. This large and ambitious project aims to develop advanced multimodal open source foundation models based on solid research on model architecture data quality scaling generalizability finetuning and safety. The focus is on multimodality aspects including tabular and time series data as well as efficient model finetuning. It combines the unique expertise of leading AI companies and top academic labs. This will be an inclusive community-driven project designed to and foster a new wave of innovation and scientific advancement.
The team
The Automated Machine Learning team at TU Eindhoven focusses on cutting-edge research to advance the capabilities of machine learning models while also democratizing AI and leveraging it to help humanity. We are a team of scientists and engineers who aim to deeply understand explain and build AI systems that learn continually and automatically assemble themselves to learn faster and addition to producing highly-cited research published at top academic venues we build models and systems that are widely used by people every day. Learn more about us here: . This work is part of a large and talented team with world-class labs and experts across Europe supported by well-known companies with advanced knowledge of LLM development.
The role
We are looking for an exceptional researcher with a real passion for AI with a deep understanding of the latest developments and eager to explore new avenues of this role you will design and build cutting-edge methods that will shape the future of foundation models and that will be deployed in real-world applications. We appreciate a strong empirical and theoretical understanding of deep learning and generative AI. Youll also help coach PhD students and support their research.
Key Research Areas:
- Multi-modal foundational model training and in-depth evaluation.
- Transfer learning and model adaptation especially parameter-efficient finetuning.
- Model finetuning including human-aligned finetuning (e.g. RLHF) grounded finetuning and test-time training.
- Model evaluation especially for new capabilities generalization performance and model safety.
- Multi-model applications in new modalities including tabular and stream data also in industry settings.
This research will be performed under the supervision of professor Joaquin Vanschoren in collaboration with several key European research labs and industrial partners.
Job Requirements
- A masters degree (or an equivalent university degree)in Computer Science or a related field.
- A research-oriented attitude.
- Ability to work in an interdisciplinary team and interested in collaborating with industrial partners.
- Experience in programming and empirical analysis in Deep Learning (e.g. in Python PyTorch).
- Excellent problem-solving skills and ability to work independently and collaboratively.
- Motivated to develop your teaching skills and coach students.
- Fluent in spoken and written English (C1 level).
Conditions of Employment
A 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 addition we offer you:
- Full-time employment for four years. A first contract of one year will initially be offered which can be extended based on good performance.
- Salary in accordance with the Collective Labour Agreement for Dutch Universities scale 10 (min. 4241 max. 5538).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs on general skills didactics and topics related to research and valorization.
- An excellent technical infrastructure on-campus childrens day care and sports facilities.
- Partially paid parental leave and an allowance for commuting working from home and internet costs.
- A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network and offers tailored support training and workshops.
- A Staff Immigration Team is available for international candidates as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.
Information
Do you recognize yourself in this profile and would you like to know more Please contact the hiring managerJoaquin Vanschoren Associate Professor .
Visit our website for more information about the application process or the conditions of employment. You can also contact Anna Vettoruzzo Postdoctoral researcher .
Are you inspired and would like to know more about working at TU/e Please visit our career page.
Application
We invite you to submit a complete application using the apply-button. The application should include a:
- Cover letter in which you describe your motivation and qualifications for the position.
- Curriculum vitae including a list of your publications and the contact information of three references.
- List of five self-selected best publications.
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
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Employment Type
Full-Time
