Ready to take your LLM research to the next level within a world-class, supportive environment? Aarhus University’s Department of Electrical and Computer Engineering (Software Engineering & Computing Systems) is offering an exceptional fully-funded postdoctoral research position. This is your chance to dive deep into applied AI, specifically focusing on Large Language Models (LLMs), while collaborating with leading industry and academic partners.
Brief Description of Scholarship
| Detail | Information |
|---|---|
| University/Organisation | Aarhus University |
| Department | Department of Electrical and Computer Engineering – Software Engineering & Computing Systems |
| Application Deadline | 10 August 2025 |
| Course Level | Postdoctoral (Research Position) |
| Award | Fully-funded fixed-term full-time position (salary based on seniority, as per Danish agreements) |
| Access Mode | Online |
| Number of Awards | 1 |
| Nationality | International (open to all countries) |
| Location | Denmark |
Is This Your Dream Postdoc Opportunity?
Imagine spending two years pushing the boundaries of what’s possible with LLMs, backed by robust resources and a team passionate about real-world impact. If you’re a recent PhD graduate with a fire for interdisciplinary research and a solid foundation in software engineering, data science, or computer science, this role at Aarhus University could be your perfect next step.
Who Should Apply? (Eligibility Essentials)
We’re searching globally for a brilliant mind! Here’s what you’ll need:
- The Credentials: A completed PhD in Computer Science, Data Science, Software Engineering, or a closely related field.
- Proven Research Prowess: A strong track record in applied AI research, with demonstrable expertise in Large Language Models (LLMs). You should be the main author on at least one high-impact journal publication.
- Technical Chops: Solid Python programming skills are essential.
- Communication & Collaboration:Â Fluency in English (written and spoken), coupled with a collaborative spirit, openness, and a commitment to inclusive teamwork within our diverse department.
- Drive for Impact:Â A genuine enthusiasm for research that bridges academia and industry, aiming for tangible results.
Bonus Points: While not mandatory, prior experience in software effort prediction research will make your application even stronger.
Your Role & The Perks (Why Choose Aarhus?)
This isn’t just another postdoc. Here’s what sets this fully-funded research position apart:
- Focus on Applied LLM Magic: Conduct cutting-edge research using Large Language Models to solve complex, real-world challenges.
- Thriving Ecosystem: Collaborate with top-tier national and international researchers and industry partners. Access state-of-the-art labs and infrastructure within our renowned Software Engineering & Computing Systems Section.
- Publish & Validate:Â Get strong support to publish in top-tier venues and validate your findings in genuine industry settings.
- Grow Your Career: Participate in Aarhus University’s excellent Junior Researcher Development Programme.
- Truly Supported: Enjoy a fixed-term, full-time position with a competitive salary based on seniority (according to Danish collective agreements).
- Life Matters: Experience Denmark’s renowned work-life balance in a professional, inclusive environment. We offer comprehensive relocation services and career support for you and your family. Discover life in Aarhus (link to university relocation page if available, otherwise general AU page).
How to Apply (Don’t Miss the Deadline!)
Mark your calendar: Applications close August 10, 2025, at 23:59 CEST. Late submissions won’t be considered.
Applying is straightforward via our online portal. You’ll need to upload:
- Your comprehensive CV
- Degree certificates (PhD and relevant others)
- A full list of publications
- A compelling statement outlining your future research plans (show us your vision!)
- Your teaching portfolio (if applicable)
- Details of any previous teaching experience
- Contact information for your referees
Crucial Reference Note: You must enter your referees’ contact details directly in the online application system. If you need to add them later, email details immediately to [email protected]. Late reference letters risk not being reviewed!
Ready to launch your applied AI research career in Denmark?
Apply Now via the Official Application Portal: Here
Questions? Reach out directly to the project lead:
Professor Emilia Mendes
Email:Â [email protected]
