Doctoral student in generative AI for humanoid assistive robots Full-time

Doctoral Student In Generative AI For Humanoid Assistive Robots

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 at the School of Electrical Engineering and Computer Science (EECS) at KTH. The newly launched Promobilia-funded project SAInt: Situated Agentic Interaction 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. 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 Requirements

To be admitted to postgraduate education, the applicant must have basic eligibility in accordance with either of the following:

• passed a second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

In 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:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues.

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 Employment

Only 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) | KTH | Sweden.