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Position: Doctoral student in Computer Science: Machine Learning and Machine Reasoning
Institution: Örebro University
Location: Örebro, Närke, Sweden
Duties: The project will investigate how to develop systems that learn and reason in an artificial intelligence and autonomous systems context. While there has been a lot of progress on both machine learning and machine reasoning, their integration remains a key open challenge in artificial intelligence and autonomous systems. The distinction between learning and reasoning is related to the differences between fast and slow thinking, between data-driven and knowledge-based approaches, and between symbolic versus subsymbolic representations
Requirements: have been awarded a qualification at the Master’s level, or; have satisfied the requirements for courses comprising at least 240 credits (four years) of which at least 60 credits (one year) were awarded at the Master’s level, or; have acquired substantially equivalent knowledge in some other way in Sweden or abroad
   
Text: On www.oru.se, we use cookies to improve the functionality of the website and to simplify for you, the visitor. A cookie is a small text file sent from a web server and stored on your computer or smartphone. These temporary text files are not harmful and do not contain any program code. Read more about how we use cookies here You decide if you want to approve our cookies. Go to main content Swedish Library Find staff Log in Studenttjänster Inforum (employee) Library Find staff More Search the English part of www.oru.se Search Menu Study Show subpages Hide subpages Research Show subpages Hide subpages Collaboration Show subpages Hide subpages About us Show subpages Hide subpages Strategic initiatives Show subpages Hide subpages Career Career Show subpages Hide subpages Why work at Örebro University? Jobs and vacancies The Human Resources Strategy for Researchers (HRS4R) Show subpages Hide subpages Schools Show subpages Hide subpages News Show subpages Hide subpages Conferences Show subpages Hide subpages Career Why work at Örebro University? Jobs and vacancies The Human Resources Strategy for Researchers (HRS4R) Doctoral student in Computer Science: Machine Learning and Machine Reasoning Fixed-term position Doctoral studies The application deadline is 2020-08-15 Apply Ref no: ORU 2.1.1-00765/2020 Örebro University is currently offering research study opportunities on the doctoral programme in Computer Science: Machine Learning and Machine Reasoning. For the successful candidate, the programme will conclude with the award of the Degree of Doctor Philosophy in Computer Science. The start date of the programme is in the autumn of 2020. The PhD student will be affiliated with the research Centre for Applied Autonomous Sensor Systems (AASS, http://www.oru.se/aass), which carries out multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, computer science, and measurement technology. Örebro University is a modern and prominent broad-based university with the courage to review and the ability to evolve. Our professional degree programmes are among the best in the country and we endeavor to be an attractive place of work where members of staff feel a sense of pride and satisfaction. 1,500 employees and 17,000 students come to work and study at Örebro University. The project will investigate how to develop systems that learn and reason in an artificial intelligence and autonomous systems context. While there has been a lot of progress on both machine learning and machine reasoning, their integration remains a key open challenge in artificial intelligence and autonomous systems. The distinction between learning and reasoning is related to the differences between fast and slow thinking, between data-driven and knowledge-based approaches, and between symbolic versus subsymbolic representations. The project will build upon probabilistic (logic) programming and neuro-symbolic computation, which are different paradigms for integrating learning and reasoning. The former integrates logical and probabilistic graphical models, the later logical and neural approaches. The goal of the project is to develop probabilistic programming and neuro-symbolic approaches and systems, and apply them to autonomous sensor systems. Research in this project will be performed in close collaboration with a second PhD student and post-doc(s) at Örebro University. The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program, and a major national initiative for strategically basic research, education and faculty recruitment. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. For more information about the research and other activities conducted within WASP please visit: http://wasp-sweden.org/. The PhD students will belong to the graduate school within WASP, which is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of AI, autonomous systems and software. The curriculum provides the foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. For more information on the graduate program within WASP, read more at https://wasp-sweden.org/graduate-school/. Online information Information on admission to the programme, application form, the general syllabus for the subject, the Regulations Handbook, and other information can be found on Örebro University’s webpage for research student information: www.oru.se. You can find information about ”How to apply for admission to doctoral studies” below. For more information on the programme and the post, please contact Luc De Raedt () or Prof. Lars Karlsson +46 19 303355 (). Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations. The programme The successful candidate is offered a place on the research study programme concluding with the Degree of Doctor . The programme comprises 240 credits, which corresponds to four years of full-time study. Extensions to the study period are granted for instance to compensate for any sick leave and parental leave. Information on programme content and organisation can be found in the general syllabus for the subject. Doctoral studentships The position is offered as a full-time doctoral studentship for the duration of the study programme. Duties such as teaching, administration and research other than the student’s own thesis project may be included, however with no more than 20 per cent of a full-time post. To compensate for time spent on such duties, extensions to the programme length and funding period will be granted. 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 27 500 SEK per month. Entry requirements and selection For admission to research studies, applicants are required to meet general and specific entry requirements. In addition, they shall 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 the subject. Applicants meet the general entry requirements for research studies if they have been awarded a qualification at the Master’s level, or have satisfied the requirements for courses comprising at least 240 credits (four years) of which at least 60 credits (one year) were awarded at the Master’s level, or have acquired substantially equivalent knowledge in some other way in Sweden or abroad. Applicants with credits or qualifications from undergraduate programmes under the previous Swedish higher education system corresponding to these entry requirements are also eligible. The university may permit exemptions from the entry requirements for individual applicants, if there are special grounds. For applicants to meet the specific entry requirements for research studies in the subject, the following applies: engineering degree or master's degree from computer science or related subject which includes an independent project on the advanced level, in a key area of importance in computer science. Applicants who have acquired substantially corresponding knowledge, in Sweden or abroad, also meet the specific entry requirements. Applicants with credits or qualifications from undergraduate programmes under the previous Swedish higher education system corresponding to these entry requirements are also eligible. The assessment whether an applicant has such ability in other respects to benefit from the programme shall be made based on prior courses and programmes taken by the applicant, on other previous activities, as well as on the essays and other independent projects of a scholarly nature that have been submitted by the applicant. In selecting between applicants, their ability to benefit from the research studies shall be taken into account (see the university’s selection criteria, annex 2 to the general syllabus for the subject). If applicants are found to have equal qualifications, preference will be given to applicants of the underrepresented sex. The term underrepresented sex here refers to if and when the share of either female or male students enrolled on the research study programme in the subject amounts to less than 40 per cent. Application The application is made online. Click the button “Apply” to begin the application procedure. When applying for admission to research studies, always attach the following documents: The form: Application form for admission to research studies. Curriculum Vitae (CV). Proof of completed higher education, if applicable degree certificates. Independent project (degree project). Copies of relevant course/degree certificates and references verifying eligibility and criteria met A brief description of research interests As a general rule, applications and enclosures should be written in Swedish, English, Norwegian and Danish. Documents written in other languages must be translated into Swedish or English by an authorised translator. A list of authorised translators can be obtained from the Swedish Legal, Financial and Administrative Services Agency (www.kammarkollegiet.se). When assessing higher education credentials from abroad, Örebro University follows the principles for validation applied by the Swedish Council for Higher Education (UHR). Applicants with higher education qualifications from abroad are recommended to contact UHR (http://www.uhr.se/) to have their qualifications assessed. An application for admission to the programme is by default also an application for a doctoral studentship. The application deadline is 2020-08-15. We look forward to receiving your application! We decline any contact with advertisers or recruitment agencies in the recruitment process. Apply Updated: 2019-08-27 Editor: Stephanie Alfredsson Share Share this page Linkedin Twitter Facebook Email Studying at Örebro University Master's students Exchange students Doctoral students Current students Student services Blackboard Studenttjänster Working with us Working at Örebro University Employee benefits Jobs and vacancies Shortcuts Library Centre for Academic Development Press and media Alumni Fault report Processing of personal data Schools Business Health Sciences Hospitality, Culinary Arts and Meal Science Humanities, Education and Social Sciences Law, Psychology and Social Work Medical Sciences Music, Theatre and Art Science and Technology Connect with us Facebook Twitter Linkedin Youtube RSS Feeds Wi-Fi Wireless networks Örebro University SE-701 82 Örebro, +46 19 303000 Contact us Getting here
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