Safe learning-based control for autonomous robots is an exciting field that combines artificial intelligence, robotics, and control theory to create intelligent machines that can safely navigate and operate in unpredictable, human-populated environments. This research area focuses on teaching robots to learn from their experiences while maintaining strict safety guarantees, enabling them to anticipate human behavior, avoid collisions, and adapt their actions in real-time. These breakthrough technologies are paving the way for autonomous vehicles, delivery robots, and service robots that can work alongside humans in crowded spaces like hospitals, shopping malls, and city streets—making our future safer and more efficient.
🎯 Key Opportunity Details:
✅ Position: PhD in Safe Learning Based Control for Autonomous Robots in Dynamic Environments
✅ Institution: Aalborg University, Denmark
✅ Location: Aalborg, Denmark
✅ Duration: 3 years (full-time)
✅ Fields: Computer Science, Electrical Engineering, Robotics
✅ Qualification Required: Master’s degree in Electrical Engineering, Robotics, Control Theory, Computer Science, or related field
✅ Application Deadline: February 1, 2026
✅ Funding: PhD stipend according to Danish collective agreement (AC collective agreement)
✅ Start Date: March 1, 2026, or as soon as possible thereafter
📝 Required Documents:
📄 Application letter stating reasons for applying and qualifications
📄 Curriculum Vitae (CV)
📄 Diplomas (bachelor and master’s degree diploma)
📄 Master’s thesis or relevant publications (if available)
📄 1-2 letters of recommendation with contact information (optional)
📄 Other relevant documents
🔬 Essential Requirements:
🔷 Master’s degree in Electrical Engineering, Robotics, Control Theory, Computer Science, or related field
🔷 Solid background in robotics, autonomous systems, and/or control theory
🔷 Good programming skills in Python and/or C++
🔷 Prior experience with robotics software frameworks (ROS/ROS 2)
🔷 Excellent written and spoken English skills
🔷 Structured, self-driven approach to technical work
⭐ Advantageous Skills:
🔹 Experience with safety-critical systems
🔹 Multi-agent autonomy expertise
🔹 Learning-based/data-driven/robust/adaptive control under uncertainty
🔹 Strong mathematical foundations
🔹 Hands-on experience with real-time robotics experiments
🔹 Prior publications in robotics or control venues
🛤️ Step-by-Step Application Guide:
1️⃣ Prepare Your Documents
Gather all required documents including your application letter, CV, diplomas, master’s thesis or publications, and recommendation letters (if available).
2️⃣ Review the Position Details
Carefully read through the project description and ensure your qualifications align with the position requirements.
3️⃣ Write Your Application Letter
Craft a compelling application letter that clearly states your reasons for applying and highlights your relevant qualifications and experience.
4️⃣ Access the Application Portal
Visit Aalborg University’s recruitment system through the official vacancy page.
5️⃣ Submit Your Complete Application
Upload all required documents through the online recruitment system before the deadline.
6️⃣ Wait for Shortlisting
After the application deadline, the hiring committee will review applications and shortlist candidates for assessment. All applicants will be informed of their status.
🔗 Apply Here:
https://aau.varbi.com/en/what:login/jobID:888392/type:job/where:4/apply:1
📧 Contact Information:
For questions about the position:
Associate Professor Shahab Heshmati-Alamdari
Email: shhe@es.aau.dk
Phone: +4599403451
For administrative inquiries:
Lisbeth Diinhoff
Email: ld@adm.aau.dk
🌟 About the Department:
The Department of Electronic Systems at Aalborg University conducts internationally recognized research in digital technologies, including robotics, AI, control systems, communications, sound, and cybersecurity. The department employs over 200 people, with about 90 PhD students and approximately 40% international employees. You will join a friendly, highly collaborative research environment with strong national and international research networks.
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