Tag Archive: Computer Science Faculty Searches

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Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2023


This work uses the same methodology applied over nine years to study where Computer Science departments are choosing to invest faculty positions using data obtained from advertised tenure-track searches for the current hiring season.  While the number of and areas for faculty searches does not necessarily translate into the same for faculty hires, we believe that they provide insight into current and future needs within the discipline. The full report is available at:
https://web.cs.wpi.edu/~cew/papers/CSareas23.pdf

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Outcomes of Advertised Computer Science Faculty Searches for 2022


This work directly follows previous work that analyzed current and future Computer Science needs via advertised tenure-track faculty searches for 2022.  This follow-on work looked to understand the relative success of institutions in hiring the tenured/tenure-track faculty in the areas of Computer Science that were being sought.  This work also follows on a similar study of tenure-track faculty hiring outcomes last done in the pre-Covid impacted year of 2019. Survey respondents reported filling a total of 289 tenure-track faculty for an aggregate success rate of 76%, which is comparable to the 2019 study. 

View the full report at: https://web.cs.wpi.edu/~cew/papers/outcomes22.pdf

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Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2022


This work uses the same methodology applied over eight years to study where Computer Science departments are choosing to invest faculty positions using data obtained from advertised tenure-track searches for the current hiring season.  This work also provides an opportunity to continue to understand the effects of the COVID-19 pandemic on faculty hiring in Computer Science for hires starting in 2022.

We analyzed ads from 400 institutions seeking to fill hundreds of tenure-track faculty positions in Computer Science.  This number is a 70% increase from last year at this time (mid-November) and is a comparable number to the 394 institutions searching for 2020.  The number of tenure-track positions sought is doubled from last year and up 6% from two years ago indicating a recovery in demand after a one-year drop due to the pandemic. The number of BS/BA institutions seeking faculty is at an eight-year high with top PhD and private PhD institutions at eight-year highs in the number of positions being sought.

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Updated Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2021


This updated work follows a full study released in November 2020, on faculty hiring in Computer Science for hires starting in 2021.  That work analyzed hiring based on ads through mid-November 2020 and found significant decreases in the number of institutions searching and the number of positions being sought.  This updated work considers ads through the end of December 2020 and is intended to understand the impact of the COVID-19 pandemic on whether searches have been delayed or simply will not materialize this hiring season.

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Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2020


This work uses the same methodology as previous work to study where Computer Science departments are choosing to invest faculty positions using data obtained from advertised faculty searches for the current hiring season. While the number of and areas for faculty searches does not necessarily translate into the same for faculty hires, we believe that they provide insight into current and future needs within the discipline.

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2019 Computer Science Tenure-Track Faculty Hiring Outcomes


This work directly follows previous work that analyzed current and future Computer Science needs via advertised tenure-track faculty searches for 2019.  This follow-on work looked to understand the relative success of institutions in hiring the tenured/tenure-track faculty in the areas of Computer Science that were being sought.

The full report containing a description of the methodology and the complete results is available at http://www.cs.wpi.edu/~cew/papers/outcomes19.pdf.

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Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2019


This work uses the same methodology as work over the past five years to study where Computer Science departments are choosing to invest faculty positions by examining data obtained from advertised faculty searches for the current hiring season. 

Faculty SearchesFaculty Searches

Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2018


This work uses the same methodology as work from previous years to study where Computer Science departments are choosing to invest faculty positions by examining data obtained from advertised faculty searches for the current hiring season.  While the number of and areas for faculty searches does not necessarily translate into the same for faculty hires, we believe that they provide insight into current and future needs within the discipline.

Outcomes of Advertised Computer Science Faculty Searches for 2017


Professor Craig E. Wills presents new work that directly follows his previous analysis of current and future computer science needs via advertised tenure-track faculty searches for 2017. This follow-on work looks to understand the relative success of institutions in hiring the tenured/tenure-track faculty in the areas of computer science that were being sought.

Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2017Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2017

Analysis of Current and Future Computer Science Needs via Advertised Faculty Searches for 2017


The wealth of faculty searches in Computer Science during this hiring season for positions starting in 2017 again affords the opportunity to study areas of Computer Science where departments are choosing to invest in new faculty hires. While the number and areas for faculty searches does not necessarily translate into the same for faculty hires, we believe that they provide insight into current and future needs within the discipline.