Doctoral students in Computer Science

Doctoral students in Computer Science

Arbetsbeskrivning

Örebro University is offering 4 PhD positions in Computer Science with a focus on either Machine Learning, Machine Reasoning, or an integration of both. 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 and measurement technology.

The start date for the positions is during the Spring of 2022.

Research at Örebro University is strongly focused on developing autonomous systems that can collaborate with humans. We study methods for interpreting sensor data, transforming sensor data into symbolic representations, integrating symbolic and sub-symbolic methods, knowledge representation and awareness of humans, social context, and norms for interaction. Various aspects of AI related to human-machine and human-robot interaction have been studied, including novel ways to develop AI systems that interact with users (including non-technical novice users). Nationally, the research in AI and Robotics at Örebro is leading, and this is evidenced by the University’s involvement in a number of high profile initiatives related to AI (see oru.se/ai).  Örebro University is highly active in the relevant European forums and platforms, including the AI4EU and AIPlan4EU platforms, and several EU-funded research projects.

This is a shortened version of the advertisement. You can read more here and here (eng).

 

Information
For more information on the PhD projects, please contact Prof. Amy Loutfi (amy.loutfi@oru.se) or Dr. Marjan Alirezaie (marjan.alirezaie@oru.se.). For more information about the program and research environment contact Prof. Lars Karlsson (lars.karlsson@oru.se, Head of Unit) or Prof. Franziska Klügl (franziska.klugl@oru.se, Head of Subject)

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 form for admission to research studies
• Curriculum Vitae (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 (1-2 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), 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 at out career site:  https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/applicants-and-external-experts/ 

The application deadline is 2022-02-14. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

Sammanfattning

  • Arbetsplats: Örebro Universitet
  • 4 platser
  • 6 månader eller längre
  • Deltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 17 januari 2022
  • Ansök senast: 14 februari 2022

Postadress

Fakultetsgatan 1
ÖREBRO, 70182

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