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Jobpostings : Medical image analysis(Biomechanics) and Computervision

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  • Jobpostings : Medical image analysis(Biomechanics) and Computervision

    Two "Adjunkt" Vacancies
    (Assistant Professors)
    in Medical Image Analysis and in Computer Vision
    (Robot vision or Virtual Reality)

    The Faculty of Technology and Science, Aalborg University, Denmark,
    hereby announces two vacant "Adjunkt" positions at the Institute of
    Electronic Systems to be filled by December 1, 1996, or as soon as
    possible there after (positions Nos. 96015 and 96011).

    The research and teaching of the institute covers communication and
    speech technology, mathematics and computer science, image analysis and
    computer vision, medical informatics and engineering, intelligent
    multimedia and process control.

    Both positions are associated with the Department of Medical
    Informatics and Image Analysis (MIBA). The research areas of the two
    positions are within general and medical image processing and analysis,
    which also covers pattern recognition, computer and robot vision as
    well as their applications in the context of multimedia and "virtual
    reality". The department is involved in several international research
    projects and networks within both computer vision and medicine and has
    many close collaborators in both Europe, the USA, and Israel.

    The position no. 96015 within Medical Image Analysis.
    This position concerns methods for 3-D reconstruction of bodysegments
    (static and dynamic) as well as visualisation in connection with
    biomechanical measurements. This research forms part of a very close
    collaboration between the Laboratory of Image Analysis (LIA) and the
    Centre for Sensori-Motor Interaction (SMI), both at MIBA, and it
    includes biomechanics as described in the note attached below. Further
    information on the medical and biomechanical aspects of the positions'
    research areas can be obtained by email from research council professor
    Thomas Sinkjaer ( and research ass. prof. Michael Voigt
    ( or by telephone (int. +45) 98 15 85 22.

    The position no. 96011 within Computer Vision.
    The research of this position aims at participation in and
    contributions to the broader research areas of the Laboratory of Image
    Analysis. However, applicants with interest and experience in vision
    guided robot navigation and active vision will be preferred.
    Alternative priority is given to modelbased vision in application to
    intelligent multimedia and "virtual reality". A supplementary note on
    these research areas is also attached below.

    Teaching (Both positions)
    The teaching obligations of these positions will mainly be within the
    B.Sc. and M.Sc. programmes of electronic and computer engineering and
    with specialisation in image analysis and computer vision, but may also
    be within other study programmes of the university.

    Further information regarding computer vision as well as general
    aspects of both positions may be obtained from professor Erik Granum
    ( and ass. prof Claus B. Madsen ( by
    e-mail or telephone (int. +45) 98 15 85 22.

    The adjunkt position (assistant professor) and qualifications required.
    In Denmark this is a 3-year-post, through which the candidate could
    achieve sufficient teaching experience and establish an independent
    research record, such as to obtain the necessary qualifications to
    apply for tenured positions.

    An appointment as Adjunkt presupposes relevant academic qualifications
    at Ph.D., or comparable, level. Teaching experience is desirable but
    not required. The total assessment, of each applicant, emphasizes the
    research potential. Normally such posts are offered only to applicants
    with less than 8 years seniority (from the award of the first academic

    General information and conditions:
    A copy of the memorandum on the conditions of appointment of academic
    staff, with research and teaching obligations, to posts at academic
    institutions, may be obtained from the Faculty Office (,
    telephone no. (int. +45) 98 15 85 22, Ext. 7471.

    Appointment is according to the Agreement on Salaries and Conditions of
    Appointment, between the Ministry of Finance and the Central
    Organisation of Academic Unions (AC).

    Applicants for the posts should define the basis on which they wish to
    be assessed, as far as their academic, teaching, and other
    qualifications are concerned.

    Furthermore, applications should contain documentation of:

    - Educational qualifications.
    - Academic experience. A list of publications should be included,
    in which the applicant indicates what is submitted as documentation
    of relevant experience.
    The Assessment-Committee may request further documentation.
    - Teaching experience, if any.

    as well as
    - Personal information
    - Information on previous employment, etc.

    Assessment of the applications is made by an Expert Assessment
    Committee. Its recommendation is sent, in full, to all applicants of
    the same position.

    Applicants, who wish to be considered for both positions, may indicate
    this accordingly.

    Applications, with reference to the Appointment number(s), and
    containing 3 copies of each of the documents and publications, which
    are to be included for the assessment, as well as a list of all the
    material submitted, should be received at the university, no later than
    by the morning mail, on

    - October 31, 1996

    Applications should be addressed to:

    Aalborg University
    Faculty of Technology and Science
    Postbox 159
    DK - 9100 AALBORG

    *______________*________________*_________________ *___________*

    Supplementary Note
    Re.: Position No. 96015, Medical Image Analysis

    Human motion is a result of the interaction between sensory
    information, central motor programming, muscle activation and the
    biomechanics of the musculo-skeletal system. Analysis of the complex
    control of normal and impaired human movement is conditioned on methods
    which combine computerized visualisation techniques and movement
    simulations based on anatomical and physiological models of the
    musculo-skeletal system.

    Description of human motion is today achieved through the use of
    dedicated image analysis systems that employ markers placed on the
    human body at selected positions. Through monitoring of the motion of
    the markers, it is possible to describe the motion in terms of a stick
    figure model. The stick figure information is combined with
    anthropometric information about some general and some specific human
    dimensions to enable computation of joint torques, mechanical work
    production etc. However, such models are very coarse approximations to
    the individual subjects studied, and in some cases so inaccurate that
    meaningful analysis is questionable.

    It is the ambition to achieve subject-specific motion models i.e.,
    models based on the "true" individual anthropometric information about
    segment volumes, positions of mass centers, radii of gyration etc. for
    the individual subjects. This assumes methods for automatic acquisition
    of volumetric information of the human body. The model can either be
    based on stereometric information, magnetic resonance imaging or a
    combination of these. Such methods will enable construction of more
    accurate subject specific models, and potentially the need for markers
    may be eliminated.

    Simulations of movements of large scale musculo-skeletal systems, i.e.
    the human body, should be based on anatomical and structural
    information about functional anatomy of the human musculo-skeletal
    system and non-linear dynamic models of muscles, sensors, and
    activation processes.

    A research project addressing these issues is in progress as a joint
    venture between the Center for Sensory-Motor Interaction and the
    Laboratory of Image Analysis, both at the Department of Medical
    Informatics and Image Analysis. In support of this multi-disciplinary
    project the assistant professor position has been allocated. The
    research in this position should focus on the extraction of volumetric
    information of parts of the human body, real-time estimation and
    visualisation of human motion, and movement simulation based on
    physiological/biomechanical models.

    >From a geometric point of view the human body is a deformable and
    articulated object. It is expected that the methods developed for
    monitoring human motion, will be applicable also in other application


    Supplementary Note
    Re.: Position No. 96011, Computer Vision:

    The ambition of the research in computer vision is the continually
    operating and integrated vision system, which in real time interprets
    dynamic scenes. The approach exploits active vision techniques, focus
    of attention, and temporal context. The major demonstrator projects of
    the Laboratory of Image Analysis are vision guided navigation using a
    RoboSoft Robuter20 mobile platform and active cameras. Purposive
    approaches have dominated the recent years of research. Active vision
    is experimentally investigated with a 10 DoF stereo camerahead. Various
    techniques for camera control and view point selection have been
    developed. Foveated vision and visual servoing are also on the
    research agenda.

    New research initiatives at the Laboratory of Image Analysis are
    directed towards applications in connection with intelligent
    multimedia, virtual reality, and visualisation. Gesture recognition and
    interpretation using modelbased approaches are in focus for various
    reasons, one of which is the ambition to provide for real time
    visualisation of vision generated/updated models of observed gestures
    and/or body movements.

    Michael Voigt, ph.d.,
    ass. research prof.
    Center for Sensory-Motor Interaction, Aalborg University
    Fredrik Bajersvej 7D, 9220 Aalborg East, Denmark
    Tel. : direct + 45 98 15 42 11 and after the ready tone : 4968
    operator :+ 45 98 15 85 22, ext. 4968
    Fax : + 45 98 15 40 08
    WEB :