Advance the Endowed Haas Chair at Ohio State
Ohio State's strong food industries program and oustanding academic stature created one of the nation's leading endowed chair positions. This $4 million endowment generates direct support at the discretion of the Haas Chair, with all annual salary support provided by this university. This empowers the chair to leverage industry, extramural, foundation and internal support to advance a program of mutual benefit to this faculty and the food industry. This coveted position is now open after successful terms by prior Endowed Chairs Charles V. Morr and Steven Jay Schwartz.
Unprecedented strategic faculty growth in food science and technology is underway at Ohio State! Learn about this ambitious initiative, the 54 positions in data analytics and dozens more in foods for health here. We now build a faculty advancing food informatics. This includes the generation, analysis, interpretation and application of big data to food. This position is supported by an investment called Translational Data Analytics, a priority of Ohio State's Discovery Themes.
Why is this position like no others?
- Access to an unrivaled array of shared resources to support informatics research.
- A public and private community focused on big data to achieve breakthroughs.
- A priority program of the most comprehensive land-grant institution in the world.
- Proximate food data scholars collaborating at one university.
- Tenure in Food Science and Technology, cited in a 2016 external review as a best-in-nation academic unit.
- Columbus is a growing and diverse city rated as one of the Top U.S. cities for quality of life.
The candidate will succeed by:
- Advancing and sharing interest in food informatics or data analytics.
- Creating a dynamic extramurally‐funded research program.
- Leading multi‐disciplinary teams.
- Advising students, teaching food science and bioinformatics.
- Providing leadership to the profession and service to Ohio State.
- Being tenured and promoted in Food Science and Technology.
Who should apply?
- Individuals who excel in teaching and in research in food data science.
- A scholar with a Ph.D. in Food Science, Data Analytics, Applied Statistics, Computational Biology, Bioinformatics, Engineering, Microbiology or related fields.
- A person with research experience, university teaching experience, experience mentoring minorities, and postdoctoral training.
- Applicants who can send a single PDF containing a cover letter, CV, a page of research goals, a page of teaching goals, a page of diversity goals, transcripts if <5 years, evidence of accomplishments, and email addresses of four references to Vodovotz.firstname.lastname@example.org.