Meet the Faculty and Post-Doc Candidates Poster Session
The Meet the Faculty and Post-Doc Candidates poster session is an annual poster session that provides a great opportunity for faculty, recruiters, and Department Chairs to speak directly with current graduate students and postdoctoral researchers who are seeking faculty positions.
Poster Board Assignment:
- 2023 AIChE Annual Meeting Poster Session Layout
- 2023 Annual Meeting Excel Sortable Listing
- Meet the Faculty & Post-Doc Candidates Poster Session
- Meet the Industry Candidates Poster Session
Session Chair & Co-Chair:
- Roman Voronov, 91成人短视频 Biological and Pharmaceutical Engineering, New Jersey Institute of Technology NJIT
- Sundararajan V. Madihally, School of 91成人短视频 Engineering, Oklahoma State University
Faculty Candidates
Are you participating in the Meet the Faculty Candidate poster session? The chairs have created a site to help you get the most out of the session, your time at the Annual Meeting, and applying to positions.
Submit your R茅sum茅
We would like to invite all presenters to submit a PDF of their r茅sum茅 or CV. This year, to best serve both the Faculty Candidates participating in the Meet the Faculty Candidate Poster Session and the Search Committees attending the session, we have moved our CV collection to AIChE鈥檚 CareerEngineer Job Board. The site鈥檚 search functionality should allow for a better experience for both job seekers and those hiring.
We have put together some short instructions and suggestions to help you get the best out of the site and better your chances of showing up in a search by the search committee.
Recruiters and Search Committees
This year, to best serve both the Faculty Candidates participating in the Meet the Faculty Candidate Poster Session and the Search Committees attending the session, we have moved our CV collection to AIChE鈥檚 CareerEngineer Job Board. The site鈥檚 search functionality should allow for a better experience for both job seekers and those hiring.
In order to increase the session鈥檚 efficiency, the candidates will be clustered by their research theme and keywords.