Research Associate
About the role
Academic
Job Category
Faculty Non Bargaining
Job Title
Research Associate
Department
Nasiopoulos | Department of Electrical and Computer Engineering | Faculty of Applied Science (Panos Nasiopoulos)
Posting End Date
September 29, 2025
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
September 30, 2026
The starting salary is $75,000 per annum.
The Department of Electrical and Computer Engineering (ECE) at the University of British Columbia (UBC), Vancouver campus, is seeking a full-time Research Associate to join the Digital Multimedia Lab. This position will involve developing innovative methods focused on enhancing the visual quality of Cone-Beam Computed Tomography (CBCT) and other medical imaging modalities, creating advanced compression techniques for efficient storage, designing high-fidelity display solutions, and implementing precise quality assessment frameworks. Crucially, these solutions will be engineered to be adaptable and generalizable, supporting applications across a wide range of imaging and video processing fields beyond medical imaging.
The Research Associate will be at the forefront of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with dental professionals, display manufacturers and multidisciplinary research teams, the Research Associate will help translate laboratory research into real-world applications.
The Research Associate will be expected to actively engage with relevant standards organizations, preferably as a member of the Standards Council of Canada, and to present these developments to international bodies such as MPEG, JVET, JPEG, and the Society for Information Display (SID), with the goal of helping shape and contribute to the next generation of standards in these domains. This integrated approach aims to bridge cutting-edge signal processing and compression techniques with perceptually optimized display technologies for improved clinical outcomes. These developments are set to have a long-term impact, as the objective of our research team, in collaboration with our industry partners, is to establish these metrics as universally recognized industry standards.
Responsibilities will include, but not be limited to:
- Developing advanced end-to-end systems for the enhancement, compression, storage, and display of CBCT and CT images acquired using low-radiation dose protocols, as well as MRI images obtained through fast or accelerated scanning techniques.
- Integrating advanced signal processing and artificial intelligence techniques with sophisticated image and video processing methods. These include adaptive denoising approaches operating in both spatial and frequency domains, upscaling algorithms that combine novel interpolation methods with edge-aware adaptive strategies to accommodate varying content structures and noise characteristics, and High Dynamic Range (HDR) imaging facilitated through inverse tone mapping specifically designed for medical modalities
- Designing novel visual quality assessment frameworks, ranging from subjective perceptual studies to objective no-reference quantitative metrics tailored to these specialized imaging tasks.
- Designing of advanced compression algorithms tailored specifically for medical imaging modalities.
Minimum Requirements:
- Doctorate degree in Electrical and Computer Engineering
- An excellent publication record, with multiple first-author and co-authored publications in relevant fields
Job details and application process:
Applications will be accepted until 11:59 pm on September 30, 2025. The anticipated start date is October 1, 2025. This initial appointment is for a one-year term at 40 hours per week, with possibility of extension subject to work performance and available funding. The starting salary is $75,000 per annum.
To apply, please provide the following: a one-page letter of intent which includes a statement of your research interest, a detailed curriculum vitae, a PDF copy or a link to one of your recent and related peer-reviewed publications, and the names of three references. Please submit the requested documents in one combined PDF file. Only completed applications will be considered.
Complete application packages should be submitted online through the UBC Faculty Careers job portal (https://hr.ubc.ca/careers-and-job-postings/faculty-careers).
CONTEXT: UBC DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
The University of British Columbia is a Tier One research university with over 55,000 students and 5,700 faculty, ranked among the top twenty universities in the world and the top three in Canada. The Department of Electrical and Computer Engineering is one of the largest academic units at UBC, with over 400 graduate students and 1,100 undergraduate students. The department is situated on UBC’s Point Grey campus in Vancouver, British Columbia. Vancouver is consistently rated as one of the world’s most livable cities. The University of British Columbia and the Department of Electrical and Computer Engineering acknowledge the hən̓q̓əmin̓əm̓-speaking xwməθkwəy̓əm (Musqueam) people on whose traditional, ancestral, and unceded territory the University resides.
For more information about the Department of Electrical and Computer Engineering, please visit
. For information about the Digital Multimedia Lab please visit
.
Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents of Canada will be given priority.
Research Associate
About the role
Academic
Job Category
Faculty Non Bargaining
Job Title
Research Associate
Department
Nasiopoulos | Department of Electrical and Computer Engineering | Faculty of Applied Science (Panos Nasiopoulos)
Posting End Date
September 29, 2025
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
September 30, 2026
The starting salary is $75,000 per annum.
The Department of Electrical and Computer Engineering (ECE) at the University of British Columbia (UBC), Vancouver campus, is seeking a full-time Research Associate to join the Digital Multimedia Lab. This position will involve developing innovative methods focused on enhancing the visual quality of Cone-Beam Computed Tomography (CBCT) and other medical imaging modalities, creating advanced compression techniques for efficient storage, designing high-fidelity display solutions, and implementing precise quality assessment frameworks. Crucially, these solutions will be engineered to be adaptable and generalizable, supporting applications across a wide range of imaging and video processing fields beyond medical imaging.
The Research Associate will be at the forefront of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with dental professionals, display manufacturers and multidisciplinary research teams, the Research Associate will help translate laboratory research into real-world applications.
The Research Associate will be expected to actively engage with relevant standards organizations, preferably as a member of the Standards Council of Canada, and to present these developments to international bodies such as MPEG, JVET, JPEG, and the Society for Information Display (SID), with the goal of helping shape and contribute to the next generation of standards in these domains. This integrated approach aims to bridge cutting-edge signal processing and compression techniques with perceptually optimized display technologies for improved clinical outcomes. These developments are set to have a long-term impact, as the objective of our research team, in collaboration with our industry partners, is to establish these metrics as universally recognized industry standards.
Responsibilities will include, but not be limited to:
- Developing advanced end-to-end systems for the enhancement, compression, storage, and display of CBCT and CT images acquired using low-radiation dose protocols, as well as MRI images obtained through fast or accelerated scanning techniques.
- Integrating advanced signal processing and artificial intelligence techniques with sophisticated image and video processing methods. These include adaptive denoising approaches operating in both spatial and frequency domains, upscaling algorithms that combine novel interpolation methods with edge-aware adaptive strategies to accommodate varying content structures and noise characteristics, and High Dynamic Range (HDR) imaging facilitated through inverse tone mapping specifically designed for medical modalities
- Designing novel visual quality assessment frameworks, ranging from subjective perceptual studies to objective no-reference quantitative metrics tailored to these specialized imaging tasks.
- Designing of advanced compression algorithms tailored specifically for medical imaging modalities.
Minimum Requirements:
- Doctorate degree in Electrical and Computer Engineering
- An excellent publication record, with multiple first-author and co-authored publications in relevant fields
Job details and application process:
Applications will be accepted until 11:59 pm on September 30, 2025. The anticipated start date is October 1, 2025. This initial appointment is for a one-year term at 40 hours per week, with possibility of extension subject to work performance and available funding. The starting salary is $75,000 per annum.
To apply, please provide the following: a one-page letter of intent which includes a statement of your research interest, a detailed curriculum vitae, a PDF copy or a link to one of your recent and related peer-reviewed publications, and the names of three references. Please submit the requested documents in one combined PDF file. Only completed applications will be considered.
Complete application packages should be submitted online through the UBC Faculty Careers job portal (https://hr.ubc.ca/careers-and-job-postings/faculty-careers).
CONTEXT: UBC DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
The University of British Columbia is a Tier One research university with over 55,000 students and 5,700 faculty, ranked among the top twenty universities in the world and the top three in Canada. The Department of Electrical and Computer Engineering is one of the largest academic units at UBC, with over 400 graduate students and 1,100 undergraduate students. The department is situated on UBC’s Point Grey campus in Vancouver, British Columbia. Vancouver is consistently rated as one of the world’s most livable cities. The University of British Columbia and the Department of Electrical and Computer Engineering acknowledge the hən̓q̓əmin̓əm̓-speaking xwməθkwəy̓əm (Musqueam) people on whose traditional, ancestral, and unceded territory the University resides.
For more information about the Department of Electrical and Computer Engineering, please visit
. For information about the Digital Multimedia Lab please visit
.
Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents of Canada will be given priority.