Meet the Faculty Candidate Poster Session

Sunday, October 28, 2018, 1:00pm-3:30pm EDT

The Meet the Faculty Candidate 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. This year we are very excited to announce that it will be our biggest poster session ever, with 270 candidates and counting!

Slideshow

See photos on Flickr.

Session Chair & Co-Chair:

  • Sundararajan V. Madihally, School of Chemical Engineering, Oklahoma State University
  • Roman Voronov, Chemical Biological and Pharmaceutical Engineering, New Jersey Institute of Technology NJIT

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.

View the Site

Submit your Résumé

We would like to invite all presenters to submit a PDF of their résumé 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’s CareerEngineer Job Board. The site’s 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.

View the Instructions

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’s CareerEngineer Job Board. The site’s search functionality should allow for a better experience for both job seekers and those hiring. 

In order to increase the session’s efficiency, the candidates will be clustered by their research theme and keywords.

View the Instructions