Ref ORU 2.1.1-06009/2023
We are looking for a researcher in Robotics for a fixed-term position at the School of Natural Sciences and Technology.
The subject area for this position is Computer Science with a specialization in robotics, with a strong connection to machine learning, physics simulation and computer vision.
The position is placed with the Centre for Applied Autonomous Sensor Systems (AASS) at the School of Natural Science and Technology, a unit comprising over 70 researchers and doctoral students working on problems in artificial intelligence, robotics, machine learning and human-machine interaction. The position is tightly coupled to the ongoing Vinnova project Automation for Face Drilling, funded through the strategic innovation program “Swedish Minining Innovation.” The recruited researcher will work on industrially relevant problems in collaboration with partners in the project.
Duties and responsibilities
The researcher is expected to take a leading role in the project, communicate and engage with industrial partners, perform research, and develop software modules. They are expected to lead technical development and conduct research activities, including publication of results in conference and journal venues.
Those qualified for the appointment as a researcher are applicants who have obtained a doctoral degree or have a degree from abroad deemed to correspond to a doctoral degree.
Candidates holding a doctoral degree in Computer Science or a very closely related field are eligible for this position. The successful candidate is expected to have demonstrated abilities to conduct independent research, verified through a strong publication record at leading journals and conferences in robotics. An ability to communicate clearly in scientific English is a must. Familiarity with relevant machine learning and robotics software frameworks is another obligatory criterion for employment. Prior experience working with the AGX dynamics physics simulation engine is strongly desirable. Additional prior experience working on problems within machine learning for physics interaction is a plus, as is a track record in working with depth or laser sensors.
A general basis for assessment is that the applicant is able to demonstrate the personal qualities required to successfully perform the duties and responsibilities at hand; that they are able to cooperate with other members of staff; and contribute to the development of university operations.
The successful candidate is expected to have good communication skills and be capable of maintaining a time plan and a research direction. The candidate should be comfortable working in a team and interacting with external partners. This position is expected to focus entirely on research and no teaching assignments are foreseen.
This is a fixed-term full-time position for 9 months. At Örebro University, salary depends on the successful candidate’s qualifications and experience.
At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach.
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.
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:
- Covering letter, outlining how you believe you can contribute to the continued development of Örebro University
- CV with a relevant description of your overall qualifications and experience
- List of publications
- Copies of relevant course/degree certificates verifying eligibility and criteria met
Only documents written in Swedish, English, Norwegian and Danish can be reviewed.
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 October 16, 2023. 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.
Características del Puesto
|Categoría de Puesto||Enseignement et recherche scientifique|