Örebro University and The School of Science are looking for a doctoral student for the doctoral programme in Computer Science. The position is expected to conclude with a doctoral degree. The PhD student will be affiliated with the research Centre for Applied Autonomous Sensor Systems (AASS).
Project description
The broad focus of the position is on the formal and cognitive foundations of human-centred AI; the specific research topics relevant to the position are declarative spatial reasoning, cognitive vision and perception, and integration of spatial reasoning and spatial learning. Our aim with this new recruitment is to further advance our research competences at the interface of Cognition, AI, Interaction, and Design with a particular focus on Spatial Reasoning, Spatial Cognition and AI, and Visual Perception.
The doctoral candidate will focus on developing the mathematical and computational foundations to represent, consistently maintain, and reason/learn about dynamic, relational knowledge about space, motion, and (embodied) multimodal interaction in everyday contexts. The methods to be developed will emphasise: 1) integration of semantic and quantitative data; 2) handling uncertain and incomplete knowledge; 3) integration of spatial reasoning and learning; and 4) human-centred explainability of mechanisms for modelling and reasoning about space-time dynamics.
The project will build on and advance recent research in spatial reasoning, cognitive vision and perception, and neurosymbolic reasoning. In particular, we aim to advance the scientific arc of our following recent publications:
- Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics. Artificial Intelligence Journal 2021
https://www.sciencedirect.com/science/article/pii/S0004370221000734 - Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving. IJCAI 2019
https://www.ijcai.org/proceedings/2019/260 - ASPMT(QS): Non-Monotonic Spatial Reasoning with Answer Set Programming Modulo Theories. LPNMR 2015
https://link.springer.com/chapter/10.1007/978-3-319-23264-5_41
For candidates desirous of interdisciplinary research, ample opportunity exists to explore behavioural foundations of human visuospatial thinking in everyday naturalistic interaction contexts (see Artificial and Human Intelligence: https://www.codesign-lab.org/hcc/ ). Furthermore, external collaborations with researchers in computer science are expected, and with cognitive psychology are highly encouraged. We expect the basic research outcomes of this project to be applicable in a wide range of computational cognitive systems contexts including but not limited to autonomous vehicles, cognitive robots, digital media systems, building architecture design systems. Interest in one or more of these or other relevant applications will be an added advantage.
The programme and the doctoral studentship
The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study.
Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking.
The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook. The initial salary for a doctoral studentship is SEK 29 100 a month.
The doctoral studentship is a tailored form of employment for students enrolled on a doctoral programme. It guarantees employment for the duration of the doctoral programme (given that the studies progress).
Entry requirements and selection
For admission to doctoral studies, applicants are required to meet both general entry requirements and specific entry requirements. In addition, applicants must be considered in other respects to have the ability required to benefit from the programme. For a full account of the entry requirements, refer to the admissions regulations as well as to annex 2 to the general syllabus for computer science.
Applicants meet the specific entry requirements for research studies in computer science if they have been awarded a Degree of Master of Science in Engineering or a one-year Master’s degree from a programme within the subject field or related subjects, or if he or she has received a passing grade of at least 120 credits, including an independent project on the second cycle, in a main field of study of relevance to the computer science field. A person who has acquired substantially corresponding knowledge, in Sweden or abroad, also meets the specific entry requirements.
Information
For more information about the programme and the doctoral studentship, please contact Prof. Mehul Bhatt, e-mail: mehul.bhatt@oru.se, or Prof. Lars Karlsson, +46 19303355, e-mail: lars.Karlsson@oru.se.
Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized 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, including names of one to (max) three academic referees who may be contacted
- Certificate on completed higher education courses and study programmes, and if applicable a degree certificate
- Degree project/independent project
- Other documents, course and degree certificates, certificates
- Motivation statement or 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 English, Swedish, Danish, or Norwegian. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorised translator to English or Swedish. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), www.kammarkollegiet.se/engelska/start.
When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external-experts/
The application deadline is 2023-04-28. 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.