We are looking for a full-time post-doctoral fellow to work with Professor’s Frank Wood and Trevor Campbell on the Machine Learning for Data-centric Manufacturing project, led by the UBC Data Science Institute and the Composite Research Network. The position will be for 12 months, and may be extended by mutual agreement and funding availability. Salary will be negotiated with the fellow and will be commensurate with level of experience and subject to UBC regulations for postdoctoral stipend.
About the Position
The aim of the Data-centric Manufacturing project is to merge engineering, AI, and data science to streamline manufacturing processes for composite materials. The team will develop digital factories in miniature that include digital twinning and then transfer the results to real-world scale for industry partners.
The Post-doctoral fellow will be hosted at the PLAI Group at UBC and supervised jointly by Professors Frank Wood and Trevor Campbell. The PLAI Group, led by Professor Wood, conducts research in probabilistic programming and machine learning and its area of application, with ongoing collaborations under projects funded by DARPA, Intel and other organizations. Professor Campbell’s research focuses on automated, scalable Bayesian inference algorithms, Bayesian nonparametrics, streaming data, and Bayesian theory.
Working directly with Professor’s Wood and Campbell, the post-doctoral fellow will collaborate with other researchers at DSI and CRN to study the application of computational tools in the manufacturing process of composite materials. The Postdoctoral fellow may also collaborate with students at the PLAI group and professor Campbell’s group, and oversee work done by undergraduate and graduate students.
- Collect, prepare and analyze research data; maintain computer database of research data; tabulate and display data for presentation in research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data.
- Supervise and mentor other personnel in the laboratory to coordinate research efforts for increased efficiency; participate in training of fellows, residents, students and volunteer workers as needed.
- Search pertinent scientific literature as needed, and prepare proposals for research projects.
- Assist with ordering and procurement of supplies and equipment and with general maintenance of workspace.
- Assist with preparing reports and managing projects, and contribute to the CRN-DSI reading group and monthly project meetings
- Contribute to publications based on the research work done with the group, and present results at conferences and lab meetings
Furthermore, the postdoctoral fellow will be expected to engage with graduate students in the departments of Statistics and Computer Science on a regular basis.
- A Ph.D. in computer science, statistics, or a relevant discipline, completed within the last 5 years, or near completion with a confirmed defence date
- Research record and peer-reviewed publications demonstrating research expertise in the areas of statistics, data science, machine learning, artificial intelligence or similar topics congruent with career stage
- Experience with applying data science principles to real-world physical systems or physics-based simulators is an asset
- Experience managing others and project management is an asset
Applications should include:
- A 1-page cover letter
- A 2-page statement of research interests/research proposal outlining ideas for research at UBC and how they connect with past experiences
- A detailed academic CV including list of publications
- A copy of up to 3 academic publications authored by the candidate
For more information and to apply, please follow this link: http://www.facultycareers.ubc.ca/38020
- Position posted: 7 August 2020
- Deadline to apply: 10 September 2020 (extended)
- Invitation for interview: 15 September 2020
- Anticipated start date: 1 January 2021 (or earlier depending on candidate availability)