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Post-Doc in Image Processing/Computer Vision, U of Saskatchewan

The Department of Computer Science at the University of Saskatchewan seeks a postdoctoral fellow in the area of image processing and computer vision to take a central role in an international research project funded by the Digging into Data ( program. 

The postdoctoral fellow will be part of the Digging into Archaeological Data: Image Search and Markup (DADAISM) project which is comprised of an international group research teams in three countries.  The DADAISM project seeks to improve the searchability of databases of archaeological images in a manner that facilitates the use cases of archaeological researchers.   The project goals of the DADAISM project are:

1. To develop and deploy a mixed-initiative interactive system that combines minimal human annotation with automated processing techniques to transform the tasks of searching for relevant images and relating them to other electronic resources such as grey literature documents.
2. To investigate how image search and text mining techniques can be used to extract information from image captions and grey literature documents (e.g. field reports) for purposes of finding related images to a candidate image, and for labeling images with appropriate content related data.
3. To investigate how image processing techniques can identify salient features from images of archaeological artifacts for extraction of relevant image similarity measures, and how those techniques generalize across heterogeneous datasets.
4. To investigate whether researchers working with such a mixed-initiative interactive system, based on instrumental interactive techniques, can be more efficient and effective in finding images that are relevant to their archaeological research questions
5. To identify what types of information are required to be present in repositories of artifacts to ensure that the DADAISM approach can be successful across heterogeneous datasets.
Qualifications:  The candidate should hold a Ph.D. in Computer Science or closely related field.  Expertise in image feature extraction and/or content-based image retrieval is essential.  Additional expertise in image segmentation is an asset.  Strong written and oral English communication skills and the ability to produce conference/journal publications independently and in a timely fashion are required. 

Main Responsibilities:  The successful candidate will be expected to drive and conduct the research relating to objective #3 of the project and integrate the work with the other aspects of the project.  They will also have to communicate and coordinate frequently with the other research teams and supervise the day-to-day activities of a research assistant who will be hired for the latter 10 months of the project.

Conditions:  Appointment will be for 18 months, beginning June 1, 2014, at an annual salary of $45,000.

How to apply:  Applicants should email an application package, including a cover letter describing their background and how it suits the described postdoctoral position, a full curriculum vitae, and the names and contact information of at least three references (in a single PDF file), to Dr. Mark Eramian (    Applicants are asked to provide an email address, a phone number and, ideally, a Skype and/or Facetime address, with their contact information.  Applications will be accepted until April 8, 2014 or the position is filled. 


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