Whether you are a prospective PDF looking for a position at UBC or a current UBC PDF seeking the next step in your career, this section provides valuable information to help you advance.

Becoming a PDF at UBC

Eligibility

Postdoctoral research fellowship eligibility can be found in UBC Policy AP10, Postdoctoral Fellows. In order to be eligible for a postdoctoral fellowship, a postdoctoral fellow generally must be within 5 years of being awarded a PhD or within 10 years of being awarded a M.D. or D.D.S. degree.

First Steps

The first step in finding a PDF position at UBC is to search the research interests of individual faculty members to locate a potential supervisor. Faculty members can be contacted directly to discuss potential PDF appointment opportunities, and applications can be made directly to faculty members.

Postdoctoral appointments at UBC are managed through individual faculties and departments. The Postdoctoral Fellows Office does not accept applications nor are we involved in the hiring process.

Post a Position

If you are a UBC faculty, department/unit, or laboratory and are interested in posting a position, please refer to the Job Ads page on the G+PS Faculty & Staff portal. Positions can be cross-posted to a number of job search websites, including Nature Careers, EurAxess, Mendeley Careers, jobRxiv, and Handshake. For additional information, contact the PDFO.

UBC PDF Postings

While most PDF positions at UBC can by found by contacting a faculty member directly, some positions may be posted on individual faculty websites. Please visit Faculty Career Opportunities for a comprehensive list of links to UBC's faculties. Postdoctoral Fellowship positions may also be posted on UBC's Faculty Careers Workday portal.

The following faculty members have indicated to us that they are actively looking to attract Postdocs.

Show faculty interested in Postdocs

Potential project areas:

Dr. Wisnovsky's lab studies the cell surface glycome, a dense network of sugar molecules that coats the surface of every living cell. The glycome plays a fundamental role in regulating the activity of our immune system, helping immune cells to distinguish normal, healthy cells from abnormal cells and invading pathogens. In diseases like cancer, the structure of the cell-surface glycome becomes profoundly altered, allowing tumour cells to escape immune detection. Dr. Wisnovsky's group applies cutting-edge CRISPR genomic screening technologies to better understand the complex genetic mechanisms that regulate these changes in cellular glycosylation. The overarching goal of his research is to identify druggable pathways that can be targeted to modulate the cell-surface glycome, generating new therapeutic options for the treatment of cancer and autoimmune disease.

Research Interests: Causal Inference, Biostatistics, Statistics, Machine Learning, Data science, Survey data analysis, Multiple sclerosis

Potential project areas:

I am currently looking for multiple graduate students/postdocs for the following two projects (with methodologic focuses within epidemiologic contexts): (1) Improving Causal Inference Methods in Statistics for Analyzing High-dimensional / Big Data. (2) Developing and Evaluating Causal Inference Methods for Pragmatic Trials to address nonadherence. Graduate students in statistics, biostatistics, epidemiology, economics or computer science with some methodological expertise in statistics and statistical software are encouraged to contact me directly (particularly those with some of the following skills: making data requests, extracting analytic data from administrative / survey databases, running statistical analyses, coding statistical estimators, conducting simulation studies, excellent scientific writing, ability to work on a multidisciplinary team). Interested candidates should email me (at my UBC email address) their complete CV and a cover letter. Only candidates shortlisted will be contacted.

Research Interests: Optimization, Control and Operations Research, Solar and Wind Energy, Artificial Intelligence, Large Scale Optimization

Potential project areas:

Dr. Cao’s research focuses on the design and implementation of large-scale local and global optimization algorithms to solve problems that arise in diverse decision-making paradigms such as machine learning, stochastic optimization, and optimal control. His algorithms combine mathematical techniques and emerging high-performance computing hardware (e.g., multi-core CPUs, GPUs, and computing clusters) to achieve computational scalability. Furthermore, Dr. Cao has applied the algorithms and tools to address engineering and scientific questions that arise in diverse application domains including conflict resolution in energy system design, robust control of crystallization systems, predictive control of wind turbines, power management in large networks, and image classification for contaminant detection.

Research Interests: Genomics and Proteomics, Asthma, Heart Transplantation, Complex Trait Genetics, Fungal Infections, Occupational Lung Diseases, Dual organism molecular interaction (fungal spores & human airway epithelium), Early and late reactions in allergic asthma and rhinitis, Diagnostics of acute heart rejection, Neonatal vaccine immunogenicity, Systems biology, biomarkers & bioinformatics

Research Interests: Artificial Intelligence, Biomedical Engineering, Biomedical Technologies, Cancer Imaging, Computer Assisted Interventions, Image Guided Surgery, Machine Learning, Medical Imaging, Surgical Robotics, Ultrasound Imaging

Potential project areas:

We are actively looking for individuals with strong mathematical, computer science, and engineering background with interest in machine learning applications in biomedical engineering and medical imaging.

Research Interests: Geometry

Research Interests: Partial differential equations, mathematical physics

Research Interests: Integrated Circuits, Computer Architecture, Computer Hardware, Computer-Aided Design Algorithms, Field-Programmable Gate Arrays, High-Level Synthesis

Potential project areas:

Debug for FPGAs FPGA Architectures CAD for FPGAs

Research Interests: Modelization and Simulation, Evolution and Phylogenesis, Biological Behavior, Dynamical systems, Evolution, Game theory, Social dilemmas, Stochastic processes

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Online Career Resources

After your first position at UBC, you may move to a PDF or faculty position at another university. Postings external to UBC may be found at the following websites:

The UBC Postdoctoral Association also maintains a Jobs page on their website.

UBC Faculty Careers

For current PDFs looking to embark on the next phase of their academic career, please visit Faculty Career Opportunities for a list of current UBC faculty opportunities. Please also visit UBC faculty websites for available positions within each specific faculty.

Current postings outside UBC