As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.
The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop an automated profiling and functional characterization platform for plant-based protein ingredients in food and beverages. To this end, you will be involved in the computational part of the project by:
- analyzing data on the key protein properties generated by our experimental team, using data analytics or machine learning techniques,
- linking protein sequences, mass spectrometry data and structural information to their properties, using advanced natural language processing (NLP) models (e.g., BERT, transformer, etc.)
- performing web scraping to generate additional data on the key protein properties from open literature, for comparison and analysis
Key Responsibilities:
i. Generate and maintain a database of the proteins’ key functional properties measured under different experimental conditions by the team
ii. Perform supervised and unsupervised learning from the database
iii. Analyze protein sequences and mass spectrometry data from our collaborators and link them to protein properties, using advanced NLP models
iv. Perform web scraping to generate additional data from open literature for comparison and analysis
v. Present research findings in meetings with industrial collaborators or conferences; prepare peer-reviewed publications on the findings.
vi. Engage and communicate with vendors/suppliers for purchasing equipment and visit vendors’ facilities for both equipment evaluation and training purpose.
Job Requirements:
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