PhD Candidate in generative AI for humanoid assistive robots | |
| Workplace | Stockholm - Södermanland - Sweden |
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School of Electrical Engineering and Computer Science at KTHProject descriptionThird-cycle subject: Computer Science or Speech and Music Communication We are seeking a doctoral student with an interest in generative AI, machine learning, natural language processing, and human-robot interaction. The doctoral student will work within a newly awarded project at the Department of Speech, Music and Hearing ( ?url=www.kth.se%2Ftmh&module=jobs&id=3214545" target="_blank" rel="nofollow">?url=www.kth.se%2Ftmh&module=jobs&id=3214545" target="_blank" rel="nofollow">www.kth.se/tmh ) at the School of Electrical Engineering and Computer Science (EECS) at KTH. TMH is an internationally recognized research environment in speech and language technology, with a particular focus on multimodal interaction with social robots. The newly launched Promobilia-funded project SAInt: Situated Agentic Interaction ( ?url=https%3A%2F%2Fwww.speech.kth.se%2Fsaint%2F&module=jobs&id=3214545" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.speech.kth.se%2Fsaint%2F&module=jobs&id=3214545" target="_blank" rel="nofollow">https://www.speech.kth.se/saint/ ) aims to develop and evaluate humanoid assistive robots capable of understanding context, learning through interaction, and providing proactive support. The goal is to contribute to reducing the care gap for older adults and people with special needs. Within the five-year project, the doctoral student will collaborate with researchers and doctoral students at the Department of Robotics, Perception and Learning ( ?url=www.kth.se%2Frpl&module=jobs&id=3214545" target="_blank" rel="nofollow">?url=www.kth.se%2Frpl&module=jobs&id=3214545" target="_blank" rel="nofollow">www.kth.se/rpl ). The overall objective of SAInt is to move beyond traditional robotics for support and assistance, which rely on explicit command structures, and instead develop agentic systems capable of contextual understanding, inferring user goals through natural multimodal communication, and collaborating proactively as an integrated part of everyday activities. The doctoral student’s task is to develop and evaluate a dialogue architecture that moves beyond reactive systems and enables the humanoid robot to understand user goals, actions, ongoing activities, and cognitive states, in order to determine when and how verbal and physical assistance should be provided. Supervision: The doctoral student will be supervised by Prof. Joakim Gustafson. Admission requirementsTo be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6. SelectionIn order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
Applicants should have a Master degree (or similar) in a subject relevant for the research, such as computer science, language technology, human-machine interaction or cognitive science. Applicants are expected to have good skills in programming and experience in machine learning. Applicants must possess good levels of cooperative and communicative abilities. A good command of English, in writing and speaking, is a prerequisite and we expect applicants to have a strong interest in human language and communication. After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and employmentOnly those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years’ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. As a doctoral student, you are entitled to a workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement . Read more about Doctoral studies (PhD) Sweden . Union representativesContact information for union representatives. Doctoral Students’network (Students’ union on KTH Royal Institute of Technology)Contact information for doctoral section . To apply for the positionApply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement. Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time). Applications must include the following elements:
Other informationFor information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance. We firmly decline all contact with staffing and recruitment agencies and job ad salespersons. Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Join us at KTH Learn more about our benefits and what it’s like to work and grow at KTH Apply here Type of employment Temporary position Contract type Full time Full-time equivalent 100% First day of employment According to agreement Salary Monthly salary according to KTH’s doctoral student salary agreement Number of positions 1 Location Stockholm County Stockholms län Country Sweden Reference number PA-2026-0678 Published 12.Mar.2026 Last application date 20.Apr.2026 Contact Joakim Gustafsson Professor, jkgukth.se Lilly Engfeldt lillyekth.se | |
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In your application, please refer to myScience.org and reference JobID 3214545. | |
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