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KTH Royal Institute of Technology

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PhD in Robotic Manipulation of Deformable Objects at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Doctoral student employment at KTH with monthly salary according to KTH’s doctoral student salary agreement. Temporary full-time position; employment may be renewed, and doctoral students are entitled to employee benefits.

Deadline

Oct 30, 2026

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Electrical Engineering
Mathematics
Differential Geometry
Robotics
Control System
ML
construction planning

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About this position

PhD opportunity in robotic manipulation of deformable objects at KTH Royal Institute of Technology (Stockholm, Sweden). The position is within the ERC Starting Grant project GEOMANIP, which aims to transform how robots manipulate deformable objects by combining differential geometry, continuum-physics-inspired neural representations, perception, planning, and control.

The doctoral student will contribute to one or more of the following research directions: theoretical foundations and geometric formalization, representation learning, robust perception and geometric state estimation, and robot policy learning and control. This is a strong fit for applicants interested in Computer Science, Robotics, Mathematics, and related areas such as machine learning and differential geometry.

Supervisor: Assistant Professor Noémie Jaquier (KTH Royal Institute of Technology).

Eligibility: a second-cycle degree (for example a master’s degree), or at least 240 higher education credits including at least 60 second-cycle credits, or equivalent knowledge. English proficiency equivalent to English B/6 is required. The selection process also values programming experience in Python or C++, independence, collaboration, and a professional approach. Background in machine learning, robotics, and/or differential geometry is preferred; experience with real robots is an advantage.

Funding and employment: the position is a full-time doctoral student employment with monthly salary according to KTH’s doctoral student salary agreement. The role is temporary and follows KTH’s doctoral employment rules.

Application: apply through KTH’s recruitment system and include diplomas/transcripts, proof of language requirements, CV, a motivation letter, and representative publications or technical reports. The last application date is 2026-10-30.

Funding details

Doctoral student employment at KTH with monthly salary according to KTH’s doctoral student salary agreement. Temporary full-time position; employment may be renewed, and doctoral students are entitled to employee benefits.

What's required

Applicants must have basic eligibility for doctoral education: a second-cycle degree such as a master's degree, or at least 240 higher education credits including at least 60 second-cycle credits, or equivalent knowledge. English proficiency equivalent to English B/6 is mandatory. Preferred background includes machine learning, robotics, and/or differential geometry. Candidates should be goal-oriented, persevering, able to work independently and collaboratively, have a professional approach, analyze complex issues, and demonstrate programming experience in Python or C++. Background in differential geometry and experience with real robots are advantages.

How to apply

Apply through KTH’s recruitment system using the official application portal. Submit diplomas and grades, proof of language requirements, CV, a motivation/application letter, and any representative publications or technical reports. Ensure the application is complete before the deadline.

More information can be found here

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