POST DOCTORATE FELLOW - Mishra Fall 2025
About the role
Regular/Temporary
Temporary
Job Title
POST DOCTORATE FELLOW - Mishra Fall 2025
Job ID
71675
Location
Central Campus
Open Date
08/29/2025
Job Type
Limited Term (=12 month)
Close Date
09/28/2025
Employee Group
Pos Doc (Union&NonUnion)
Favorite Job
Department
Computing and Software
Contract Duration
12 Months
Hours per Week
35
Posting Details
Schedule
M-F, 35hrs/week
Education Level
PhD in Computer Science/ Information Science or related fields
Career Level
Experienced
Job Description
Postdoctoral Fellowship
Studying Human-AI Collaborative Systems
Overview
Dr. Swati Mishra from the Department of Computing and Software (CAS) is recruiting one (1) postdoctoral researcher for her interdisciplinary lab, the Machine Teaching and Human Intelligence Research Group at McMaster University.
We are focused on developing human-centered AI systems that assist with analysis and decision-making using complex unstructured datasets, including text and images. The postdoctoral project will explore cognitive models of human-AI collaboration within data-driven workflows, such as reading and writing data-driven narratives, designing interactive visualizations to communicate insights, and documenting personal experiences. This research aims to build mechanisms that help individuals interpret AI decisions and establish appropriate levels of reliance on AI in human-AI collaborative systems.
One motivation behind this research is that while AI tools help to increase the speed with which we analyze unstructured datasets and synthesize narratives, they often limit individual expression and creativity. Furthermore, these tools also introduce unintended biases and homogenization effects among their users, degrading the quality of the data stories produced using AI. This project aims at designing techniques that can mitigate these negative impacts of AI use and improve the process and outcome of human-AI collaboration in data-driven workflows.
Qualifications
The candidate must have and/or demonstrate the following skillset:
- PhD in Computer Science / Information Science or related fields
- Strong background in Human Computer Interaction (HCI) / Psychology / Cognitive Science / Interaction Design
- Experience with Data Science and Machine Learning software tools (e.g., TensorFlow, Keras, Cloud Computing)
- Experience with programming languages (e.g., Python) and software design
- Experience with conducting human subject evaluations and a strong understanding of
- qualitative methods and statistical techniques
Duration and Funding
The term of the fellowship is initially for 12 months. Selection will be based upon the candidate's research potential and fit with the research group in the Department of CAS at the Faculty of Engineering. We prefer the start date of the Postdoctoral Fellowship to be October 1, 2025.
The successful applicant will be placed on a hybrid work arrangement, as agreed upon with the faculty supervisor. The annual salary is $55,000.00 CAD/year, with benefits, provided in accordance with McMaster University guidelines, and commensurate with experience. The normal hours of work are 35 hours per week.
How To Apply
To apply, please send your CV, a letter summarizing your research interests (up to 2 pages), email addresses of up to three references, and one example of a recent publication.
Send the full application package online via Mosaic by the posting closing date. Start date is as soon as possible but flexible and will be determined by the faculty supervisor in consultation with the successful applicant.
We appreciate all replies to this advertisement, but only applicants under consideration will be contacted.
Equity and Diversity: We welcome individuals from marginalized communities in STEM fields as well as non-traditional pathways to computing research.
Employment Equity Statement
McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations and within the lands protected by the “Dish With One Spoon” wampum agreement.
The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity.
The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from indigenous (First Nations, Métis or Inuit) peoples, members of racialized communities, persons with disabilities, women, and persons who identify as 2SLGBTQ+.
As part of McMaster’s commitment, all applicants are invited to complete a confidential Applicant Diversity Survey through the online application submission process. The Survey questionnaire requests voluntary self-identification in relation to equity-seeking groups that have historically faced and continue to face barriers in employment. Please refer to the Applicant Diversity Survey - Statement of Collection for additional information.
Job applicants requiring accommodation to participate in the hiring process should contact:
- Human Resources Service Centre at 905-525-9140 ext. 222-HR (22247), or
- Faculty of Health Sciences HR Office at ext. 22207, or
- School of Graduate Studies at ext. 23679
to communicate accommodation needs.
Hybrid Work Language
To ensure an ongoing and vibrant University community that meets the needs of our students, staff and faculty and supports the University mission, ability to work on-site continues to be a requirement for most University positions. The University is supportive of exploring flexible work arrangements that effectively balance operational needs and employee interests.
Interview Experience
At McMaster University, we believe in a comprehensive and inclusive interview process. Our interview methods encompass a variety of approaches that allow our hiring teams to provide a flexible and accessible experience for engaging with our candidates. Throughout your recruitment process at McMaster, you may be requested to participate in a variety of formats, that may include in-person, virtual or recorded interviews. If you have any questions as you move through the hiring process, please reach out to talent@mcmaster.ca or the HR contact associated with your position of interest.
About McMaster University
McMaster University, one of four Canadian universities listed among the Top 100 universities in the world, is renowned for its innovation in both learning and discovery. It has a student population of 30,000, and more than 185,000 alumni in 137 countries.
POST DOCTORATE FELLOW - Mishra Fall 2025
About the role
Regular/Temporary
Temporary
Job Title
POST DOCTORATE FELLOW - Mishra Fall 2025
Job ID
71675
Location
Central Campus
Open Date
08/29/2025
Job Type
Limited Term (=12 month)
Close Date
09/28/2025
Employee Group
Pos Doc (Union&NonUnion)
Favorite Job
Department
Computing and Software
Contract Duration
12 Months
Hours per Week
35
Posting Details
Schedule
M-F, 35hrs/week
Education Level
PhD in Computer Science/ Information Science or related fields
Career Level
Experienced
Job Description
Postdoctoral Fellowship
Studying Human-AI Collaborative Systems
Overview
Dr. Swati Mishra from the Department of Computing and Software (CAS) is recruiting one (1) postdoctoral researcher for her interdisciplinary lab, the Machine Teaching and Human Intelligence Research Group at McMaster University.
We are focused on developing human-centered AI systems that assist with analysis and decision-making using complex unstructured datasets, including text and images. The postdoctoral project will explore cognitive models of human-AI collaboration within data-driven workflows, such as reading and writing data-driven narratives, designing interactive visualizations to communicate insights, and documenting personal experiences. This research aims to build mechanisms that help individuals interpret AI decisions and establish appropriate levels of reliance on AI in human-AI collaborative systems.
One motivation behind this research is that while AI tools help to increase the speed with which we analyze unstructured datasets and synthesize narratives, they often limit individual expression and creativity. Furthermore, these tools also introduce unintended biases and homogenization effects among their users, degrading the quality of the data stories produced using AI. This project aims at designing techniques that can mitigate these negative impacts of AI use and improve the process and outcome of human-AI collaboration in data-driven workflows.
Qualifications
The candidate must have and/or demonstrate the following skillset:
- PhD in Computer Science / Information Science or related fields
- Strong background in Human Computer Interaction (HCI) / Psychology / Cognitive Science / Interaction Design
- Experience with Data Science and Machine Learning software tools (e.g., TensorFlow, Keras, Cloud Computing)
- Experience with programming languages (e.g., Python) and software design
- Experience with conducting human subject evaluations and a strong understanding of
- qualitative methods and statistical techniques
Duration and Funding
The term of the fellowship is initially for 12 months. Selection will be based upon the candidate's research potential and fit with the research group in the Department of CAS at the Faculty of Engineering. We prefer the start date of the Postdoctoral Fellowship to be October 1, 2025.
The successful applicant will be placed on a hybrid work arrangement, as agreed upon with the faculty supervisor. The annual salary is $55,000.00 CAD/year, with benefits, provided in accordance with McMaster University guidelines, and commensurate with experience. The normal hours of work are 35 hours per week.
How To Apply
To apply, please send your CV, a letter summarizing your research interests (up to 2 pages), email addresses of up to three references, and one example of a recent publication.
Send the full application package online via Mosaic by the posting closing date. Start date is as soon as possible but flexible and will be determined by the faculty supervisor in consultation with the successful applicant.
We appreciate all replies to this advertisement, but only applicants under consideration will be contacted.
Equity and Diversity: We welcome individuals from marginalized communities in STEM fields as well as non-traditional pathways to computing research.
Employment Equity Statement
McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations and within the lands protected by the “Dish With One Spoon” wampum agreement.
The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity.
The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from indigenous (First Nations, Métis or Inuit) peoples, members of racialized communities, persons with disabilities, women, and persons who identify as 2SLGBTQ+.
As part of McMaster’s commitment, all applicants are invited to complete a confidential Applicant Diversity Survey through the online application submission process. The Survey questionnaire requests voluntary self-identification in relation to equity-seeking groups that have historically faced and continue to face barriers in employment. Please refer to the Applicant Diversity Survey - Statement of Collection for additional information.
Job applicants requiring accommodation to participate in the hiring process should contact:
- Human Resources Service Centre at 905-525-9140 ext. 222-HR (22247), or
- Faculty of Health Sciences HR Office at ext. 22207, or
- School of Graduate Studies at ext. 23679
to communicate accommodation needs.
Hybrid Work Language
To ensure an ongoing and vibrant University community that meets the needs of our students, staff and faculty and supports the University mission, ability to work on-site continues to be a requirement for most University positions. The University is supportive of exploring flexible work arrangements that effectively balance operational needs and employee interests.
Interview Experience
At McMaster University, we believe in a comprehensive and inclusive interview process. Our interview methods encompass a variety of approaches that allow our hiring teams to provide a flexible and accessible experience for engaging with our candidates. Throughout your recruitment process at McMaster, you may be requested to participate in a variety of formats, that may include in-person, virtual or recorded interviews. If you have any questions as you move through the hiring process, please reach out to talent@mcmaster.ca or the HR contact associated with your position of interest.
About McMaster University
McMaster University, one of four Canadian universities listed among the Top 100 universities in the world, is renowned for its innovation in both learning and discovery. It has a student population of 30,000, and more than 185,000 alumni in 137 countries.