Doctoral student in Computer Science, Artificial Intelligence - with Growth Opportunities

We are hiring an organized Doctoral student in Computer Science, Artificial Intelligence to join our dynamic team at Örebro Universitet in Örebro.
Growing your career as a Full Time Doctoral student in Computer Science, Artificial Intelligence is a fantastic opportunity to develop relevant skills.
If you are strong in planning, adaptability and have the right mindset for the job, then apply for the position of Doctoral student in Computer Science, Artificial Intelligence at Örebro Universitet today!

Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in Computer Science, with specialization in Artificial Intelligence, concluding with a doctoral degree. Expected start date: September 2023 Project description The project, funded by Vetenskapsrådet, will investigate how to develop artificial systems that can communicate with human teammates, while taking into account the human’s preferences and knowledge, as well as being able to adapt to different human users. Such capacity requires three key functionalities on the agent’s side: (1) proactivity: the agent should be able to detect a need for communication and execute a communication action without being explicitly prompted to do so, (2) adaptability: the agent should be able to adapt its communication action to the user’s evolving state of knowledge and skills, and (3) multi-user support: the agent should be able to consider several human users and adapt its communication strategy to each of them. This project is by nature multi-disciplinary and draws from the fields of planning, human-AI interaction, and cognitive sciences. The successful candidate should show strong and independent problem solving and critical analytical abilities. Fluent spoken and written English is essential, while knowledge of Swedish is not necessary. Demonstrated knowledge in Artificial Intelligence is a beneficial, specifically in any of the following fields: planning and decision-making, knowledge representation, multi-agent systems, robotics, machine learning, or natural language processing. Past experience with multi-disciplinary projects and user-studies is a merit. The doctoral student will be supervised by Prof. Alessandro Saffiotti (principal supervisor) and Dr. Jennifer Renoux (assistant supervisor). The programme, doctoral studentship, entry requirements and selection To see the application advertisement in its entirety visit Information For more information about the programme and the doctoral studentship, contact Dr. Jennifer Renoux, e-mail: Visa e-postadress på arbetsformedlingen.se, Prof. Alessandro Saffiotti, e-mail: Visa e-postadress på arbetsformedlingen.se, or Prof. Lars Karlsson, e-mail: Visa e-postadress på arbetsformedlingen.se. Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterised by openness, trust and respect. We value the qualities that diversity adds to our operations. Application to the programme and for the doctoral studentship The application is made online. Click the button “Apply” to begin the application procedure. For the application to be complete, the following electronic documents must be included:

• The form Application for/decision on admission to research studies
• CV
• Certificate on completed higher education courses and study programmes, and if applicable a degree certificate
• Degree project/independent project
• Copies of relevant course/degree certificates and references verifying eligibility and criteria met
• Description of research interests – detailing the field of research you are interested in, including, if applicable, theoretical and methodological approaches (2-5 pages).

As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorised translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found at out career site: The application deadline is 2023-05-10. We look forward to receiving your application! As we have already made our choices in terms of external collaboration partners and marketing efforts for this recruitment process, we decline any contact with recruitment agencies and advertisers. As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

Benefits of working as a Doctoral student in Computer Science, Artificial Intelligence in Örebro:

● Learning opportunities
● Company offers career progression opportunities
● Advantageous package