School/Faculty Assessment Panel:	Graded	%D	%C	%B	%A
Physics & Astronomy	84	3.6%	19.1%	48.8%	28.6%
Earth, Atmospheric & Environmental Sciences	49	11.2%	19.4%	32.7%	36.7%
Chemistry	66	7.6%	22.7%	37.9%	31.8%
Computer Science	71	20.4%	12.7%	38.7%	28.2%
Mathematics	70	21.4%	15.0%	34.3%	29.3%
Materials	63	19.1%	23.0%	29.4%	28.6%
Chem. Engineering & Analytical Sciences	44	15.9%	33.0%	21.6%	29.6%
Electrical & Electronic Engineering	59	17.0%	33.9%	30.5%	18.6%
Mechanical, Aerospace & Civil Engineering	77	31.8%	30.5%	20.8%	16.9%
FEPS Assessment Panel TOTAL	583	16.6%	22.7%	33.5%	27.2%
FLS Assessment Panel TOTAL	232	12.1%	26.7%	33.6%	27.6%
FMHS Assessment Panel TOTAL	526	27.0%	32.7%	26.0%	14.3%
HUMANITIES Assessment Panel TOTAL	832	7.9%	26.6%	40.7%	24.8%
UNIVERSITY TOTAL	2172	15.3%	27.0%	34.4%	23.2%

To relate this to the profile from the last RAE, there we have the following for Computer Science:

Score	1*	2*	3*	4*
Value	0%	15%	55%	30%

Thus the key difference is that the university research profile makes explicit the size of our “tail”, which in the RPE consists of around 14 people classified at “D”. These largely fall into three groups: teaching only staff, research active staff who were not returned in the previous RAE, and research active staff returned in the previous RAE whose assessed outputs in the period covered by the RPE has not been at an especially high rate or level (the principal focus has been on outputs). It was clear at the last RAE that several people included in our return only just made it, and thus it is perhaps not surprising that the shorter sampling period for the RPE has classed some research active (but not prolific) staff as D. The Computer Science data in the profile also doesn’t include staff from Imaging Sciences.

It is possible for staff to obtain their profiles, on request, by way of their line managers. If you want to see your profile, please let me know, and the relevant information will be passed to your line manager. If you are a line manager and do not want to participate in this activity, please also let me know.

Revised arrangements for Advertising and Recruitment

Please find below details of the revised arrangements that we have agreed for advertising and recruitment which have been put in place as a response to the UK Border Agency requirements c.f the resident labour market test - which requires us to show that a position has been advertised externally for at least four weeks before considering the appointment of a non-EEA (European Economic Area) national.

With immediate effect:

Advertising
1. All academic/research posts will be advertised in accordance with existing internal arrangements, then, will be advertised for four weeks externally as a default.
2. In exceptional circumstances, there may be the possibility of reducing the four week external advertising requirement - but this course of action will run the risk of there being significant delay in the appointment process should a non-EEA applicant be the eventual preferred candidate.

3. Support and PSS staff advertisements will continue to be advertised in accordance with current practice.

Selection
4. All applications must be shortlisted against published criteria
5. Only EEA and ‘settled***’ applicants should be invited to interview in the first instance (n.b. Post Study Work Visa does not count for inclusion in this category)
6. If no applicant is successful following interview then the remaining shortlisted applicants can be considered.

***UKBA’s definition of a ‘settled worker’ is as follows:

“You are normally resident in the United Kingdom with no immigration restriction on the length of your stay. To be free of immigration restriction you must have the right of abode or indefinite leave to enter or remain in the United Kingdom.”

Therefore, only applicants from the EEA, EEA family members (who have the same rights as EEA nationals) or outside of the EEA with indefinite leave to remain or citizenship can be shortlisted.

If you would like any further information or clarification please contact Lynn Howarth in the first instance.

Events

Faculty of EPS Open Meeting 10 Feb 2010

Faculty Open Meeting with Professor Colin Bailey, Vice-President & Dean

1400-1500, Room D7, Renold Building

Orthogonal Least Squares Regression: An Efficient Approach for Parsimonious Modelling from Large Data 10 Feb 2010

Prof Sheng Chen. University of Southampton

1415, Lecture Theatre 1.4, Kilburn Building

More Information