Danica Kragic Jensfelt

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.

KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for a postdoctoral position in Robot Learning for Manipulation. The successful candidate 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 perception and control, enabling robots to perform complex, coordinated tasks in dynamic environments. The position is ideal for candidates with a strong background in robotics and machine learning, and 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-DOF platforms, and learning-based manipulation in simulation and/or real systems is highly valued. Applicants must hold a doctoral degree or an equivalent foreign degree in a relevant field, to be completed no later than the employment decision. Essential qualifications include research expertise in machine learning/robotics, strong programming skills, an outstanding research and publication record, and excellent analytical and problem-solving abilities. Proficiency in English (written and oral) is required. Preferred qualifications include a doctoral degree obtained within the last three years, pedagogical ability, awareness of diversity and equal opportunity issues, independence, and strong collaboration skills. The appointment is full-time, temporary (up to two years), and offers a monthly salary. KTH provides a creative and dynamic environment with excellent working conditions and attractive benefits. The university is committed to equality, diversity, and equal opportunities as core values. To apply, submit your application through the KTH recruitment system. Required documents include a CV, copies of diplomas and grades (with translations if not in English or Swedish), and a brief research statement (maximum two pages) outlining your academic interests and how they relate to your previous studies and future goals. Applications must be received by midnight CET on April 14, 2026. For further information, contact Professor Danica Kragic Jensfelt at [email protected]. The position reference number is PA-2026-1035.

The KTH Royal Institute of Technology in Stockholm, Sweden, 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. The research will explore cutting-edge Vision-Language-Action (VLA) models, particularly for tabletop manipulation, and aims to leverage whole-body motion to enhance perception and control in complex mobile manipulation scenarios. 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 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) or equivalent, or completion of at least 240 higher education credits (with at least 60 at the second-cycle level). English proficiency equivalent to English B/6 is mandatory. Selection criteria emphasize the ability to work independently, collaborate effectively, analyze and address complex issues, and demonstrate a professional approach. Personal skills are highly valued in the selection process. The position is full-time and temporary, with employment for up to four years, renewable as per KTH regulations. Doctoral students are entitled to a monthly salary according to KTH's doctoral student salary agreement, a workplace with many employee benefits, and the possibility to engage in training and administrative tasks up to 20% of their role. The research group is committed to equality, diversity, and equal opportunities, which are integral to KTH’s core values. Applicants must submit a complete application through KTH's recruitment system, including certified copies of diplomas and grades, proof of language proficiency, a CV detailing relevant experience, an application letter outlining research interests and goals, and representative publications or technical reports. Applications must be received by midnight CET/CEST on the closing date. KTH is a leading international technical university, actively contributing to a sustainable society through education, research, and innovation. The university offers a vibrant academic environment and encourages students to grow and develop their skills. For further information about doctoral studies at KTH, visit the university’s website. Deadline for applications: 10 May 2026. Location: Brinellvägen 8, Stockholm, Sweden.

The KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for postdoctoral positions in Machine Learning for Olfaction. This opportunity is part of the EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors,” which aims to digitalize the sense of smell and advance our understanding of olfaction in humans. The project also seeks to build AI models capable of simulating olfactory experiences, bridging the gap between neuroscience, chemistry, and machine learning. As a postdoctoral researcher, you will focus on processing and developing representation models for diverse data sources, including time-series data (EEG, video, mass spectrometry) and chemical data (molecular graphs, SMILES strings) related to odorant stimuli. The research environment is highly interdisciplinary, offering collaboration across machine learning, neuroscience, and chemistry. You will work with deep learning architectures such as Transformers, diffusion models, and graph neural networks, applying them to multimodal and high-dimensional data. Expertise in time-series modeling, chemical/structural data representation, signal processing, and statistical modeling is essential. Applicants must hold a doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline. Strong programming skills in Python and relevant machine learning frameworks (PyTorch, TensorFlow, JAX) are required. The ideal candidate will demonstrate proven research experience with deep learning, multimodal representation learning, and integration of heterogeneous data sources. Excellent communication and collaborative skills, motivation, and dedication to research are highly valued. Teaching and supervision experience is considered an advantage. Awareness of diversity and equal opportunity issues, with a specific focus on gender equality, is expected. KTH Royal Institute of Technology is a leading international technical university, committed to advancing education, research, and innovation for a sustainable society. The institution offers a creative and dynamic environment, attractive benefits, and good working conditions. The postdoctoral position is full-time, temporary (up to two years), and comes with a monthly salary. The position may be classified as security-sensitive, requiring a security clearance in accordance with Swedish law. To apply, log into KTH's recruitment system and submit your application by May 17, 2026. Your application should include a CV, diplomas and grades, translations if necessary, and a brief account of your research motivation and academic interests. For further information, contact Professor Danica Kragic Jensfelt at [email protected]. This is an excellent opportunity for early-career researchers with a strong background in machine learning, neuroscience, and chemistry to contribute to cutting-edge research in olfactory digitization and AI modeling. Join KTH and help shape the future of olfactory science and technology.