Help with problem for exam, Inference, two sample.

Hi guys please help me.

In an effort to enhance the future reaearch performance, the university decided to classify the academic staff based on a RIP mark (Research intelligence potential).
The academic staff will be classified primarily as either lecturers or as researchers
It have been decided if a staff member has a RIP mark less than the CC (classification criterion) he/she willbe classified as an ordanary lecturer but if its higher than the CC the staff member shall be classified as a researcher and receive special treatment.
It may be assumed that the RIP mark for the lecturers is normal distributed with a mean of 120 and a st dev of 10.The RIP mark for researches is assumed to be normal distributed with a mean of 120 and a st dev of 30.

Q1:Given The CC have been specified as 100 determine the probability that a member of the academic staff will be incorrectly identified?

Q2: Determine the value of the Classification criterion, such that the probability that an ordinary lecturer will be incorrectly classified as a researcher is equal to the probability that a "worderful" researcher will be incorrectly classified as a lecturer.

I dont know how to go about the first or the second, bo sample sizes are given.
Is this two populations where i need to determine the sample size and type 2 error?
Or should i combine the two normal distributions to get a normal distribution for the total staff?

Any help would be appreciated :)

Sorry for the poor spelling and grammar ,

Thank you,