Advert Input Confirmation

Reference: AGV350
Sales Order Number: 547376
Employer: University of Bath

Sender Contact

Sender Contact: Bruce Keeling
Sender Details: From: HEMidlands, Jobs.ac.uk Resource
Sent: 27 June 2013 14:52
To: HESouth, Jobs Ac Uk Resource
Subject: FW: FW: RE: Jobs by Email - University of Bath job vacancies to upload

Reply from Bruce at Bath

Thanks
Gail

Gail Koczkowski
Account Co-ordinator - hemidlands
T: 024 76574063 E: hemidlands@jobs.ac.uk W: www.jobs.ac.uk

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From: Bruce Keeling [mailto:bak21@bath.ac.uk]
Sent: 27 June 2013 14:09
To: HEMidlands, Jobs.ac.uk Resource
Subject: Re: FW: RE: Jobs by Email - University of Bath job vacancies to upload

Hi Gail,

Yes please, these 4 under the university of Bath. Please could they have 28 days of advertising?

Thanks

Bruce

On 27/06/2013 13:39, HEMidlands, Jobs.ac.uk Resource wrote:
Hi Bruce, hope you are well, I have tried to contact you and left an message on your voicemail.

Sarah is on annual leave today and her account is being covered. I have picked up on this email relating to six adverts, two of which seem to be placed already. Apparently the four remaining adverts are joint adverts between yourself and UCL, please can you confirm for me, are the four adverts below the remaining adverts to be placed and also, are they to be placed under University of Bath:

Education & Research
• VH1750 - Research Officer - Acquisition of Urban Assets - fixed term 3 years
• VH1751 - Research Officer - Acquisition, Modelling & Editing of Complex Natural Phenomena - fixed term 3 years
• VH1752 - Research Officer - Graphic System Integration - fixed term 3 years
• VH1753 - Research Officer - Visual Recognition for Dynamic Scene Understanding - fixed term 3 years
I understand you would also like the sentence below adding to each of the four adverts:
‘For further information about the project can be found at http://www.bath.ac.uk/jobs/vacancies.aspx?cat=360&type=6
The 2/6 adverts that have been processed are BB1754 and VH1749
http://www.jobs.ac.uk/job/AGU666/lecturer-assistant-professor-senior-lecturer-associate-professor-reader-associate-professor
Lecturer (Assistant Professor)/ Senior Lecturer (Associate Professor)/ Reader (Associate Professor) in Low Carbon Design - BB1754 Closing date: 01 Sep 2013
Grade: Competitive Package
http://www.bath.ac.uk/jobs/BB1754

http://www.jobs.ac.uk/job/AGU655/department-secretary

Department Secretary - fixed term 12 months - VH1749 Closing date: 05 Jul 2013
Grade: Grade 4
http://www.bath.ac.uk/jobs/VH1749
Many thanks Bruce
Gail
Notification Email(s): hr-replies@bath.ac.uk

Billing Information

Purchase Order Reference

Advert Information

Job Title

Research Officer - Acquisition, Modelling & Editing of Complex Natural Phenomena

Department

Computer Science

Description

Fixed term 3 years

Salary: Starting from £30,424, rising to £36,298
Closing Date: Sunday 28 July 2013
Interview Date: To be confirmed
Reference: VH1751
Research Project - OAK:Outdoor Asset Capture

The University of Bath and University College London are engaged in a joint research project, “OAK: Outdoor Asset Capture”, designed to address core Computer Science issues raised by the needs of the creative industries -- the film, games, and broadcast sectors in particular.

Six industrial leaders are involved through an advisory panel. The purpose is to enable these industries to easily capture three dimensional dynamic models of outdoor locations, in urban, semi-urban, and natural environments. The aim is to acquire outdoor assets at a range of scales from a few millimetres through the kilometres, from bark to trees to forests.

Vacancy - Acquisition, Modelling & Editing of Complex Natural Phenomena

Acquisition, Modelling & Editing of Complex Natural Phenomena such as trees, water, fire and smoke. The work takes place under the supervision of Dr Peter Hall (University of Bath) and aims at extracting and learning characteristic properties of real natural phenomena from video

A key challenge will be how to maintain direct editability of the models, and produce new instances under the direction of a user from one of the creative industries.

The work will straddle aspects of computer vision, computer graphics and machine learning.

There are four vacancies at Bath cover:

Applications Process

In your application, you may wish to provide support in the form of previous publications, and a little commentary explaining why the background is relevant.

Successful candidates will be able to demonstrate a strong publication record in at least one of Computer Vision, Computer Graphics, Machine Learning. They will be able to work both alone and as part of a multi-site team. They will also be able to engage with researchers in relevant industries.

Informal enquiries may be made to Dr Peter Hall at Bath ( or 01225 386004) or Dr Tim Weyrich at UCL

Applicants who are interested in more than one of these positions will have to submit an application for each position in which they are interested; in this case, it is acceptable to reuse supporting material.

Applications must be made online, via the relevant website Bath or UCL

For further information about the project can be found at http://www.bath.ac.uk/jobs/vacancies.aspx?cat=360&type=6

Publish Date

28-06-2013 00:00:00

Expiry Date

28-07-2013 00:00:00

Application Closing Date

28-07-2013 00:00:00

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