The KTH Royal Institute of Technology invites applications for a doctoral student position in Robot Learning for Manipulation. This PhD opportunity is situated within the third-cycle subject of Computer Science and focuses on advancing robot learning for manipulation tasks, particularly leveraging Vision-Language-Action (VLA) models. The research aims to explore tabletop manipulation and extend to complex mobile manipulation scenarios, emphasizing the integration of whole-body motion to enhance perception and control. Supervision will be provided by Professor Danica Kragic Jensfelt, a leading expert in robotics and machine learning. The project is ideal for candidates with a strong background in robotics and machine learning, and who have demonstrated experience in at least two of the following areas: deep learning, reinforcement learning, robot perception, navigation, or manipulation. The research environment at KTH is dynamic and creative, offering excellent working conditions, employee benefits, and opportunities for professional growth. Admission requirements include a second cycle degree (such as a master's degree) or equivalent, or completion of at least 240 higher education credits (with at least 60 at second-cycle level). English proficiency equivalent to English B/6 is mandatory. Selection criteria emphasize personal skills such as goal orientation, perseverance, independence, collaboration, professionalism, and analytical ability. Only those admitted to postgraduate education may be employed as a doctoral student, with employment lasting up to four years full-time. The position offers a monthly salary according to KTH’s doctoral student salary agreement and includes employee benefits. Applicants must submit a CV, application letter (maximum 2 pages), certified copies of diplomas and grades, proof of language proficiency, and representative publications or technical reports. Documents not in English or Swedish must be translated and certified. Applications are processed through KTH's recruitment system and must be received by the deadline. Security clearance may be required for certain positions. KTH Royal Institute of Technology is a leading international technical university located in Stockholm, Sweden. The institution is committed to equality, diversity, and sustainability, providing a supportive environment for doctoral students. Join KTH to contribute to cutting-edge research in robot learning and manipulation, and to shape the future of technology and society.

KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for postdoctoral positions in robot learning for manipulation. The successful candidates will join a leading international technical university and work on cutting-edge research exploring Vision–Language–Action (VLA) models for both tabletop and mobile robotic manipulation. The research will focus on leveraging whole-body, humanoid-style motion to enhance perception and control, enabling robots to perform complex, coordinated tasks in dynamic environments. Applicants should have a strong background in robotics and machine learning, with demonstrated experience in at least two of the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-degree-of-freedom (DOF) platforms, and learning-based manipulation in simulation and/or real systems is highly valued. The position requires a doctoral degree (or equivalent foreign degree) in a relevant field, strong programming skills, an excellent research and publication record, and advanced analytical and problem-solving abilities. Proficiency in English, both written and spoken, is essential. Preferred qualifications include a doctoral degree obtained within the last three years, pedagogical skills, awareness of diversity and equal opportunity issues (with a focus on gender equality), independence, and strong collaboration skills. The appointment is for up to two years, full-time, and offers a monthly salary with attractive benefits and good working conditions. KTH is committed to equality, diversity, and providing a creative and dynamic research environment. To apply, candidates must submit a complete application through KTH's recruitment system, including a CV, diplomas and grades (with translations if necessary), and a brief statement of research interests and goals (maximum two pages). The application deadline is January 15, 2026. For further information, contact Professor Danica Kragic Jensfelt at [email protected]. For more details and to apply, visit the official application link.

KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for postdoctoral positions in robot learning for manipulation. The successful candidates will join a dynamic research environment focused on advancing state-of-the-art Vision–Language–Action (VLA) models for both tabletop and mobile robotic manipulation. The research aims to leverage whole-body, humanoid-style motion to enhance robot perception and control, enabling robots to perform complex tasks that require coordinated base-arm-hand behaviors in dynamic and unstructured environments. Applicants should have a strong background in robotics and machine learning, with demonstrated experience in at least two of the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-degree-of-freedom (DOF) platforms, and learning-based manipulation in simulation and/or real systems is highly valued. The position is ideal for candidates seeking to contribute to cutting-edge research in robot learning, with opportunities to work on both theoretical and applied aspects of manipulation and control. To be eligible, candidates must hold a doctoral degree or an equivalent foreign degree in a relevant field, with eligibility met by the time of employment decision. Required qualifications include research expertise in machine learning and robotics, strong programming skills, an outstanding research and publication record, and excellent written and oral English communication skills. Preferred qualifications include a doctoral degree obtained within the last three years, pedagogical ability, awareness of diversity and equal opportunity issues (especially gender equality), independence, and strong collaboration skills. Security clearance may be required for certain roles. KTH offers a creative and dynamic environment with good working conditions, attractive benefits, and a strong commitment to equality, diversity, and sustainability. The postdoctoral appointment is full-time, temporary, and intended as a first career step after dissertation, with a maximum duration of two years. The position is based in Stockholm, Sweden, and provides a monthly salary. To apply, candidates should log into KTH's recruitment system and submit a complete application by the deadline of January 15, 2026. The application must include a CV, copies of diplomas and grades, translations if necessary, and a brief account of research interests and goals (maximum two pages). For further information, contact Professor Danica Kragic Jensfelt at [email protected]. For more details and to apply, visit KTH's recruitment portal .

Two fully funded PhD positions are available in the group of Professor Danica Kragic Jensfelt at the Department of Robotics, Perception, and Learning, KTH Royal Institute of Technology, Stockholm, Sweden. The research focuses on robot learning for manipulation, with an emphasis on leveraging recent advances in Vision-Language-Action (VLA) models for tabletop manipulation tasks. The projects aim to enhance perception and control by utilizing whole-body motion to solve complex mobile manipulation challenges. Applicants should have a strong background in robotics and machine learning, with demonstrated experience in at least two of the following areas: deep learning, reinforcement learning, robot perception, navigation, or manipulation. The positions are part of the Computer Science doctoral program at KTH, a leading international technical university known for its dynamic research environment and commitment to sustainability, equality, and innovation. Eligibility requires a second cycle degree (such as a master's) or equivalent, with at least 240 higher education credits (including 60 at the second-cycle level), and proficiency in English equivalent to English B/6. Selection will consider academic qualifications, relevant experience, motivation, and personal skills such as independence, collaboration, and analytical ability. The positions are fully funded, offering a monthly salary according to KTH's doctoral student salary agreement, full-time employment, and a range of employee benefits. The total duration is up to four years, with annual renewals possible. The application deadline is March 5, 2025. To apply, candidates must submit a complete application via the KTH Application Portal, including a CV, application letter, diplomas, transcripts, proof of English proficiency, and representative publications. For more information, visit the official job posting or contact Professor Danica Kragic Jensfelt at [email protected].

The Department of Robotics, Perception, and Learning at KTH Royal Institute of Technology in Stockholm, Sweden, is offering two fully funded PhD positions in the field of robot learning for manipulation. The research will focus on leveraging recent advances in Vision-Language-Action (VLA) models to address tabletop and mobile manipulation tasks, with an emphasis on using whole-body motion to enhance perception and control. The positions are part of Professor Danica Kragic Jensfelt’s group, a leading research team in robotics, computer vision, and machine learning. Applicants should have a strong background in robotics and machine learning, with demonstrated experience in at least two of the following areas: deep learning, reinforcement learning, robot perception, navigation, or manipulation. The research environment at KTH is highly interdisciplinary, combining aspects of computer science, electrical engineering, and mechanical engineering to advance the state of the art in robotic systems for industry, healthcare, and service applications. Eligibility requirements include a second cycle degree (such as a master's) or equivalent, with at least 240 higher education credits (including 60 at the second-cycle level), and proficiency in English equivalent to English B/6. The selection process values goal orientation, independence, collaboration skills, and analytical ability. The positions are full-time, with a monthly salary according to KTH’s doctoral student salary agreement, and include employee benefits and a creative, dynamic work environment. Applications must be submitted through the KTH application portal and should include a CV, application letter, diplomas, transcripts, proof of English proficiency, and representative publications or technical reports. The deadline for applications is March 5, 2025. For more information, visit the department’s website or contact Professor Danica Kragic Jensfelt at [email protected]. Research keywords: robot learning, manipulation, robotics, machine learning, vision-language-action models, deep learning, reinforcement learning, robot perception, navigation, whole-body motion, mobile manipulation.