Postdoc in Automated Machine Learning: Join us at Eindhoven University of Technology (TU/e) to contribute to innovative research in building a safe, interpretable, and accessible AI through automated machine learning techniques. Work alongside top researchers to develop a cutting-edge AutoML platform with natural language interfaces that empower users to design AI models efficiently.
Postdoc in Automated Machine Learning for Safe AI
Designation
Postdoctoral Researcher
Table
| Field | Details |
|---|---|
| Location | Eindhoven, Netherlands |
| Research Area | Automated Machine Learning, AI Safety, Explainable AI |
| FTE | 1.0 |
| Application Number | V32.7898 |
| Salary Range | €4,020 – €5,278 (Collective Labour Agreement for Dutch Universities, scale 10) |
| End Date of Contract | Initial contract for one year, with possible extension based on performance |
| Working Environment | Interdisciplinary team within an international network |
Eligibility/Qualification
- PhD in machine learning or a related area.
- Strong programming skills.
- Demonstrable ability to conduct high-quality academic research.
- Excellent (written and verbal) proficiency in English, with good communication and leadership skills.
Job Description
In this role, you will:
- Lead the development of an AutoML platform integrating state-of-the-art machine learning techniques with natural language interfaces.
- Research and implement advanced methodologies, including fine-tuning, transfer learning, and meta-learning.
- Ensure the incorporation of AI safety and Explainable AI in the design and implementation of models.
- Collaborate with a team of LLM (Large Language Model) experts.
- Manage complex projects to successful completion, engaging in interdisciplinary collaborations and publishing research findings in top venues.
How to Apply
To apply, please submit a complete application including:
- A cover letter detailing your motivation and qualifications for the position.
- Your curriculum vitae, including a list of publications and the contact information of three references.
- A list of your five self-selected ‘best publications.’
Applications can be submitted through the TU/e application portal.
Last Date for Apply
- Application Deadline: 22/12/2024 (Applications may continue to be accepted until the position is filled)
Join us in making a significant impact in the field of AI by promoting accessibility and safety in model development. If you’re passionate about contributing to cutting-edge research and bridging technology with societal needs, we look forward to receiving your application!
