Deadline: November 15, 2011
We will develop scenarios of semi-automation for the routine processes of the work of a forestry machine driver, e.g. in the process of collecting logs with a crane. In one such scenario the driver should, via some advanced user interface and at any moment, be able to visualize available pre-computed motions of the crane (animated if necessary) and also be able to choose and switch to a trajectory from the library, to start an appropriate autonomous motion with the possibility to safely interrupt it and to take the control authority back. This can involve the use of any available tools, including advanced equipment for computer vision, virtual reality animation and human-machine interaction.
Requirements:
The applicants should have earned a M.Sc. (or an equivalent) degree in robotics or a related field relevant for the project, preferably not more than two years ago. The person must satisfy the general entry requirements for third-cycle courses and study programs according to Chapter 7, section 39 of HF. In particular, it is necessary to have an equivalent of 240 ECTS-credits of higher education studies of which at least 60 should be on an advanced level (Master level). Excellent communication skills in written and spoken English are required.
Submitting your application
A complete application should include:
• A cover letter with contact information,
• A Curriculum Vitae,
• Statements of research interests and of motivation for involvement in one of the two projects,
• A brief description of relevant background and experience, certified if possible,
• Copies of degree certificates, including documentation of completed academic courses and obtained grades,
• Contact information to two persons willing to act as references,
• Any other information relevant for the position such as a copy of the M.Sc. thesis, list of publications, recommendation letters, certificates of English language proficiency, and copies of a maximum of two original research publications or preprints (if these publications have several authors, the contribution made by the applicant should be made clear).
All material should be submitted electronically or in a single printed copy. Electronically submitted material should be in word- or pdf-format.
For further information, please do not hesitate to contact Docent Leonid Freidovich, +46-(0)90-786 76 46, leonid.freidovich@tfe.umu.se and/or Prefect Åke Fransson, +46-(0)90-786 50 33, ake.fransson@tfe.umu.se.
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Union information is available from SACO, +46-(0)90-786 53 65, SEKO, +46-(0)90-786 52 96 and ST, +46-(0)90-786 54 31.
