I see very wide variations within assistant professors. Some assoc. profs earn lesser than asst. profs; people of the same age earn differently and so on. So, my question is, which of the following factors influence salaries at public schools and how?
- Experience as a faculty member
- PhD at a top school
- Number of years after undergrad/PhD
- Experience at another school (Does a Stanford faculty with 5 years exp. moving to a public school earn more than a faculty member at the same school for 5 years?)
- Number/Impact of publications
- Any other factor
Given all data is in public, I assume there can be no pay negotiations, so is it possible to determine one's salary in advance before the interview process itself?
In the US, everything you list above—and more—can affect salary. (Do note that, in the US, age discrimination is illegal. Not that it doesn't take place anyway...) The only thing I'm not sure of is "number of years as a PhD", that's more of a proxy for "work done during PhD tenure", which is included in the impact factor.
A few factors I thought of, not likely exhaustive:
- Masters/PhD/postdoc alma mater
- Masters/PhD/postdoc advisor
- Number and quality of publications
- Grant history
- Existing grants
- Collaboration history
- Teaching experience
- Field of research (psych vs history vs engineering vs etc)
- Type of institution (public/private)
- Economic environment (budget cuts in state funding, etc)
- Teaching load
- Location (Dallas, TX vs Palo Alto, CA vs etc)