PhD Doctoral Researcher – Interpretable AI for Collaborative Robotics | Gothenburg Sweden | Visa + Salary Insights

📍 Location: eu

🏷 Type: Full-time

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Job Overview

This PhD position at Chalmers University of Technology focuses on advancing interpretable artificial intelligence, experience-driven learning, and human-robot collaboration (HRC). The role is designed for candidates with a strong academic background in robotics, machine learning, or control systems who want to develop next-generation collaborative robotic systems. You will work on building AI models that enable robots to reason about human intent, adapt to dynamic environments, and explain their behavior in real time. Ideal candidates are research-oriented engineers with strong programming skills and a deep interest in autonomous systems and explainable robotics.

📅 Job Timeline & Status

This is a mid-cycle academic recruitment process with a clearly defined deadline still open. Given the active hiring status and competitive nature of EU-funded PhD positions, applicants should apply early. The deadline is still upcoming, but strong candidates are often shortlisted before closure due to supervisor-driven selection pipelines.

🌍 Work Eligibility & Location

This role is based fully in Gothenburg and requires physical presence throughout the PhD duration. International applicants are commonly accepted in Swedish doctoral programs, especially in AI and robotics research groups. The position is not remote, as lab access and robotic experimentation are central to the research.

💰 Salary Intelligence

The compensation is competitive for European PhD programs, offering stable monthly income with employee benefits. While not comparable to industry AI salaries, the value lies in access to cutting-edge robotics labs, publication opportunities, and strong academic-industry collaboration networks.

📊 Role Breakdown

This PhD role centers on designing interpretable AI systems for collaborative robotics, combining machine learning, control theory, and human-robot interaction. Approximately 30% of your work will focus on developing machine learning models that enable robots to interpret human intentions and adapt behaviors in shared environments. Around 25% involves building experience-driven learning frameworks, allowing robots to learn from past successes and failures using structured memory systems. Another 20% focuses on implementing robot planning and decision-making systems that integrate task decomposition, role allocation, and real-time adaptation.

The remaining 25% is dedicated to experimentation, including simulation and hardware validation using tools such as ROS, robotic manipulators, and advanced simulation environments like Gazebo or Isaac Sim. You will also contribute to academic publishing, writing peer-reviewed papers, and presenting findings at international conferences. The research is deeply interdisciplinary, requiring collaboration across robotics engineering, AI safety, and human-computer interaction domains.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly selective research position requiring strong academic credentials and demonstrable machine learning or robotics experience. Applicants with prior publications or implemented robotics projects will have a significant advantage. Competition is intense due to the reputation of Chalmers and the growing demand for interpretable AI expertise.

🚀 Career Impact

This PhD significantly strengthens long-term positioning in advanced AI research and robotics engineering. Graduates typically transition into top-tier AI research labs, robotics companies, or academic careers. The focus on interpretable AI is particularly valuable for future-safe domains such as autonomous systems and human-centered AI.

📋 Key Responsibilities

The selected candidate will develop interpretable machine learning models for collaborative robotics systems capable of reasoning about human intent. Responsibilities include designing robot learning architectures that integrate experience-based memory systems for adaptive decision-making. You will also build task representation frameworks that allow robots to understand goals, actions, and role distribution in multi-agent environments.

Additional duties involve implementing and testing algorithms using ROS-based robotic systems and simulation platforms. You will validate models on real hardware, including collaborative robotic arms and mobile manipulators. A key component is publishing research in peer-reviewed journals and presenting findings at conferences. Collaboration with interdisciplinary teams and industry partners is also a core expectation.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows strong hiring momentum with a defined deadline and active recruitment phase. Expect high competition due to international PhD demand in robotics and AI. The deadline proximity suggests candidates should apply well before closing to maximize consideration. Interview cycles typically begin shortly after the deadline, but strong applicants may be contacted earlier by supervisors.

Given the research prestige and funding structure, expect fast academic screening and selective shortlisting.

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✅ Job Source & Verification

This job post is derived from an official listing by Chalmers University of Technology, a highly credible academic institution in Sweden. The information reflects a verified posting with last update: 2026-05-31. Details are consistent with university PhD recruitment standards and publicly available doctoral position announcements in EU-funded research programs.