The Department of Geography invites applications for the following position(s):
Sessional Instructors
Teaching Support Staff Union (TSSU)
Spring Semester (January 2 – April 29, 2019)

Applicants should submit an online application and supporting documents. The documents should include three current letters of reference, including at least one from a department/school/program for which courses have been taught, unless the applicant recently taught for the Department of Geography. 

If you cannot submit an online application, we will accept your application in person at the Department of Geography office (RCB 7123) to the attention of Tiina Klasen.

For questions and inquiries, please email the Chair’s Assistant at geogsec@sfu.ca or contact the Manager, Academic and Administrative services at 778.782.2558 or geogmgr@sfu.ca.

In addition to the listed qualifications for each position, the Department of Geography will define qualification in accordance with the Collective Agreement with the Teaching Support Staff Union (TSSU). Evaluation of the adequacy of qualifications is at the Chair’s/Director’s discretion.

Compensation is based on contact hours and is detailed in the TSSU Collective Agreement salary scales.

Appointment priority is in accordance with the Collective Agreement and the Sessional Instructor Seniority List provided by the University.   

Positions marked Reserve Sessional Instructor will be prioritized to Graduate and Post-Doctoral applicants in the Department of Geography. However, all qualified applicants are invited to apply.

The following positions (REPOSTED) have a closing date of 9 am, Tuesday, November 13, 2018.

COURSE:

GEOG 253   Introduction to Remote Sensing

LOCATION:

Burnaby Campus

DURATION:

January 2, 2019 – April 29, 2019

DETAILS:

1x2 hour lecture (Thursdays, 12:30-14:20) and 2x1 hour lab;

TA supervision; 4 contact hours

QUALIFICATIONS:

Applicants should have a graduate degree; preferably a PhD, in geography or related discipline, and demonstrated expertise in remote sensing as well as relevant demonstrated ability to teach in face-to-face classroom and computer lab settings to students with a wide range of academic backgrounds science and social science.

Qualifications include demonstrated competence in the use of analog and digital remote sensing methods and techniques for processing aerial photography and satellite imagery. Topics covered include remotely-sensed data acquisition and correction, the concepts of spatial, spectral, radiometric and temporal resolutions, and digital image analysis techniques including pre-processing, classification (supervised and unsupervised) and change detection. Radar and LiDAR are introduced in this course. Applicants should be able to explain these subjects clearly and effectively to students, and provide them with an appreciation of how remote sensing data can be used in real-world decision-making. Lab assignments are preferably conducted using ENVI or IDRISI software.

This course has both

Quantitative (https://www.sfu.ca/ugcr/for_faculty/wqb_criteria_and_definitions/quantitative.html) and

Breadth Science (https://www.sfu.ca/ugcr/for_faculty/wqb_criteria_and_definitions/breadth.html)

designations; course content must fulfill these requirements.

 

COURSE:

GEOG 353   Advanced Remote Sensing

LOCATION:

Burnaby Campus

DURATION:

January 2, 2019 – April 29, 2019

DETAILS:

1x2 hour lecture (Mondays, 12:30-14:20) and 2x1 hour lab;

TA supervision; 4 contact hours

QUALIFICATIONS:

Applicants should have a graduate degree; preferably a PhD, in geography or related discipline, and demonstrated expertise in remote sensing as well as relevant demonstrated ability to teach in face-to-face classroom and computer lab settings to students with a wide range of academic backgrounds science and social science.

Qualifications include knowledge of remote sensing data acquisition, imagery processing and characteristics (spatial, spectral, radiometric and temporal resolutions) and the basics of image pre-processing and classification. GEOG 353 expands on topics such as accuracy assessment of classified products, the creation and use of spectral indices, physical and empirical calibration of digital imagery via modeling, hyperspectral remote sensing, LiDAR and radar data processing. Demonstrated competence in the use of digital remote sensing methods and techniques for processing optical, LiDAR and radar data to create accurate data end products are required. Applicants should be able to explain these subjects clearly and effectively to students, and encourage the use of remote sensing data in real-world decision-making. Lab exercises can be conducted using ENVI, ArcGIS or IDRISI, and the introduction of programming approaches with R, Python and/or QGIS is highly desirable.

This course has a Quantitative designation; course content must fulfill this requirement: https://www.sfu.ca/ugcr/for_faculty/wqb_criteria_and_definitions/quantitative.html)

The following position has a closing date of 9 am, Monday, November 5, 2018.

COURSE:

GEOG 355   Geographical Information Science II

LOCATION:

Burnaby Campus

DURATION:

January 2, 2019 – April 29, 2019

DETAILS:

1x2 hour lecture (Thursdays, 12:30-14:20) and 1x2 hour lab;

TA supervision; 4 contact hours

QUALIFICATIONS:

Applicants should have a graduate degree, preferably a PhD, in geography or related discipline, and demonstrated expertise in GIScience science as well as and relevant demonstrated ability to teach.

Qualifications include advanced knowledge and experience in GIScience with an understanding of methods, algorithms and the nature of spatial data and its representation. In addition, applicants should be conversant in social implications of ubiquitous spatial data collection and analysis. Use of PC-based Idrisi Terrset is essential.

This course has a Quantitative designation; course content must fulfill this requirement https://www.sfu.ca/ugcr/for_faculty/wqb_criteria_and_definitions/quantitative.html)