Doctoral Student in Interpretable and Experience-Driven Learning for Collaborative Robots Scholarship – Eligibility, Benefits & How to Apply

🌟 About the Scholarship

Opens
Closes30 Jun, 2026

Chalmers University of Technology offers the Doctoral Student in Interpretable and Experience-Driven Learning for Collaborative Robots Scholarship through the Department of Electrical Engineering. The PhD position provides full funding from the beginning at Chalmers University of Technology. Selected doctoral students receive a monthly salary of approximately 35,725 SEK together with full employment benefits in Sweden. In addition, the position includes healthcare coverage, parental leave, pension contributions, and access to Sweden’s public welfare system. The appointment also includes advanced doctoral coursework, international conference participation, and opportunities for interdisciplinary research collaboration with academic and industrial partners.

🎓 Scholarship Snapshot

Here’s everything you need at a glance: the documents to prepare, what the award covers, and key dates so you don’t miss a beat. From transcripts and essays to tuition and living support, this gives you a clear picture of the Doctoral Student in Interpretable and Experience-Driven Learning for Collaborative Robots Scholarship before you apply.

Eligible Countries

Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Benin, Bhutan, Bolivia, Bosnia-Herzegovina, Botswana, Brazil, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Cape Verde, Central African Republic, Chad, Chile, China, Colombia, Comoros, Costa Rica, Côte d’Ivoire, Croatia, Cuba, Cyprus, Czech Republic, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, East Timor, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Greenland, Grenada, Guam, Guatemala, Guinea, Guinea Bissau, Guyana, Haiti, Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kosovo, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Niue, North Korea, North Macedonia, Norway, Oman, Pakistan, Palau, Palestine, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Puerto Rico, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Scotland, Seirra Leone, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Korea, South Sudan, South-Africa, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tokelau, Trinidad-Tobago, Tunisia, Turkey, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Vanuatu, Vatican City, Venezuela, Vietnam, Wales, Yemen, Zambia, Zimbabwe

Study Fields

Artificial Intelligence, Electrical Engineering, Robotics

GPA / Grade

Languages

C1 Advanced 180, IELTS 6.5, PTE A 62, TOEFL iBT 90

Tests

Study Levels

Doctoral, PhD

Total Scholarships

Transcripts

Yes

Degrees

Yes

Essay

Yes

Passport ID

Recommendation Letters

Result Date

Program Start

September 2026

Tuition Fee

Covered

Living Allowance

Yes

35,725 SEK/month

Travel Allowance

Research Grant

Health Insurance

Yes

Visa Assistance

📞 Contact Information

Call if you want a quick answer, send an email for detailed questions, or follow the university’s social channels to keep an eye on updates and reminders. Use whatever fits your style and timezone.

Scholarship Summary

Award Amount35,725 SEK/month
Deadline30 Jun, 2026
LevelDoctoral, PhD
InstitutionChalmers University of Technology
CountrySweden
ModeOnline
TypeFully funded

Apply Now

Chalmers University of Technology offers the Doctoral Student in Interpretable and Experience-Driven Learning for Collaborative Robots Scholarship through the Department of Electrical Engineering. The position is hosted within the Division of Systems and Control and focuses on robotics, interpretable artificial intelligence, and human-robot collaboration. In addition, the project is part of the Swedish Research Council-funded MILE-Cobots initiative, which develops intelligent collaborative robots that can learn safely and adapt to human interactions in dynamic environments.

Background and Purpose

Chalmers University of Technology established this doctoral project to improve the reliability, adaptability, and transparency of collaborative robotic systems. Therefore, the research focuses on developing interpretable AI frameworks that enable robots to understand human intentions, explain their decisions, and learn from past experiences. Moreover, the project integrates adaptive planning, robot memory systems, and human-aware reasoning to strengthen collaboration between humans and robots. Through this initiative, the university supports innovation in intelligent automation and explainable robotics.

Doctoral Student in Interpretable and Experience-Driven Learning for Collaborative Robots Scholarship Benefits

The PhD position provides full funding from the beginning at Chalmers University of Technology. Selected doctoral students receive a monthly salary of approximately 35,725 SEK together with full employment benefits in Sweden. In addition, the position includes healthcare coverage, parental leave, pension contributions, and access to Sweden’s public welfare system. The appointment also includes advanced doctoral coursework, international conference participation, and opportunities for interdisciplinary research collaboration with academic and industrial partners.

Eligibility Criteria

Applicants must hold a strong academic background in robotics, electrical engineering, computer science, automation, artificial intelligence, or related disciplines. In addition, candidates should demonstrate experience or interest in machine learning, autonomous systems, robot control, or explainable AI. Strong programming skills in Python or C++ and familiarity with robotics tools such as ROS or simulation platforms are highly desirable. However, admission remains competitive and depends on academic excellence, research potential, and alignment with the project objectives.

Doctoral Student in Interpretable and Experience-Driven Learning for Collaborative Robots Scholarship Application Process

Students must apply through the official recruitment system of Chalmers University of Technology. Therefore, applicants should prepare academic transcripts, a CV, and supporting research documents before the application deadline. In addition, candidates may need to demonstrate technical expertise in robotics, AI systems, or software development. The university evaluates applications based on qualifications, research fit, and technical skills.

Opportunities for Scholars

Doctoral students gain hands-on experience in collaborative robotics, interpretable AI, adaptive learning systems, and autonomous decision-making. Scholars also work with tools such as ROS, Gazebo, Unity, MuJoCo, and Isaac Sim to validate robotic algorithms in simulation and real-world environments. In addition, students contribute to scientific publications, conferences, and interdisciplinary research projects. These experiences prepare graduates for careers in robotics engineering, AI research, automation industries, and intelligent autonomous systems. Overall, the program offers strong financial support, advanced technical training, and international research exposure in collaborative robotics.

Frequently Asked Questions (FAQs)

What is this PhD position about?

It is a fully funded doctoral research position focused on developing interpretable AI and experience-based learning methods for collaborative robots that work safely with humans.

What skills are required?

A Master’s degree in Electrical Engineering, Computer Science, Robotics, Applied Mathematics, or similar, along with strong machine learning and robotics experience.

What experience is preferred?

Experience with robot simulation tools (Gazebo, MuJoCo, Isaac Sim, Unity), human-robot interaction, explainable AI, robotics control, and published research is highly valued.