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Andreas Archenti

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Doctoral Student in Precision Robotics and Control KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Signal Processing

Funding

Available

Deadline

Mar 21, 2026

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Country

Sweden

University

KTH Royal Institute of Technology

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Where to contact

Official Email

Keywords

Signal Processing
Mechanical Engineering
Artificial Intelligence
Industrial Engineering
Surgical Robotics
Digital Twin Technology
Metrology
Robotics
Mechatronics
Control System
Medical Robotic
Machine learning

About this position

KTH Royal Institute of Technology invites applications for a fully funded doctoral student position in Precision Robotics and Control. This research opportunity is situated within the Precision Engineering and Metrology (PEM) research group, a vibrant team of around 15 researchers and doctoral students working on reliability, measurement instrument design, robot calibration, integrated sensor systems, simulations, and advanced control strategies for industrial and biomedical robot applications.

The project focuses on the advanced control of industrial robots for high-precision applications, including machining, robot-assisted surgery, orthopedics, and scientific investigations. The main objective is to develop new capabilities in industrial robots, particularly self-verifying systems that can detect deviations and autonomously adapt their control strategies. Research activities will involve developing methods to understand how the mechanical and dynamic properties of robots change under varying conditions, utilizing advanced signal analysis, artificial intelligence, metrology, calibration, and digital twins.

A central aspect of the project is the creation of virtual environments for simulating, testing, and validating calibration methods before real-world implementation. These environments will facilitate the generation of synthetic sensor data, safe evaluation of calibration algorithms, and improved accuracy of digital twins. The project is funded by KTH and XPRES and is conducted in close collaboration with a university in Tokyo, with supervision by Professor Kanako Harada and Professor Andreas Archenti. Parts of the doctoral studies will take place in Japan, offering a unique international research experience.

Applicants should have a strong background in computer science, mechatronics, robotics, or related fields, and an interest in both model-based and data-driven approaches. The position is open to candidates who have completed a second cycle degree (e.g., master's) or equivalent, with proficiency in English (English B/6 or equivalent) required. Selection will emphasize the ability to work independently, collaborate, analyze complex issues, and demonstrate scientific writing skills. Personal qualities are highly valued.

The position offers full-time employment for up to four years, with a monthly salary according to KTH’s Doctoral student salary agreement and comprehensive employee benefits. The successful candidate will join a leading international technical university committed to advancing sustainable society through education, research, and innovation.

Applications must be submitted through KTH's recruitment system and include certified copies of diplomas, grades, language certificates, CV, application letter, and representative publications or technical reports. The application deadline is March 21, 2026.

Funding details

Available

What's required

Applicants must have a second cycle degree (e.g., master's degree) or have completed at least 240 higher education credits (with at least 60 at the second-cycle level), or possess equivalent knowledge. Proficiency in English equivalent to English B/6 is mandatory. Candidates should have a background in computer science, mechatronics, robotics, or related fields, and demonstrate interest in both model-based and data-driven approaches. Selection is based on the ability to work independently, collaborate, maintain a professional approach, analyze complex issues, and demonstrate scientific writing skills. Personal skills are highly valued.

How to apply

Apply through KTH's recruitment system using the provided application link. Ensure your application includes certified copies of diplomas, grades, language certificates, CV, application letter, and representative publications or technical reports. Submit all documents by the deadline.

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