-------- Forwarded Message --------
Subject:        Re: [ASAB-MAIL] Postdoc in bird song
Date:   Tue, 13 Mar 2018 12:18:01 +0000
From:   Robert Lachlan <r.f.lach...@qmul.ac.uk>
Reply-To:       Robert Lachlan <r.f.lach...@qmul.ac.uk>
To:     animal-behavi...@jiscmail.ac.uk



Dear Animal Behaviour Researchers,

A 3-year postdoc is available at QMUL to work with me (Rob Lachlan), 
David Clayton, and Dan Stowell. The project examines how birds perceive 
differences in songs using operant techniques; machine learning; and 
cultural evolution. Intrigued? Please write to me and/or see the links 
below for more information.

Best wishes,

Rob

https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3154

http://www.findapostdoc.com/search/job-details.aspx?jobcode=7789

http://www.jobs.ac.uk/job/BIF688/postdoctoral-research-assistant/

A Postdoctoral Research Assistant position is available at Queen Mary 
University of London (QMUL) as part of a project funded by the BBSRC. 
The project *‘Machine learning for bird song learning’ *seeks to develop 
and apply new methods for assessing the similarity between complex bird 
song syllables, guided by the perception of birds themselves.

This particular research position will play two key roles in the 
project. First, you will lead the effort to use operant conditioning 
techniques to examine how birds judge the similarity of song syllables. 
This will involve using existing operant conditioning techniques to 
examine how zebra finches assess song syllable similarity. It will also 
involve the development of new methods (in collaboration with Dr Robert 
Lachlan) to carry out operant conditioning with free-living wild birds. 
Second, you will collate data-sets of song variation from free living 
populations, and (again in collaboration with Dr Lachlan) carry out 
comparative analyses using cultural evolutionary simulations fitted to 
data, and based on song comparisons using our new methods in order to 
compare processes of song learning between species. The project will 
therefore allow you to develop skills in two cutting edge areas of 
behavioural biology.

The project will require that you travel to collaborate with project 
partners in the Netherlands (Wageningen) and the UK (Cornwall).

The ideal candidate for this position should have a PhD in animal 
behaviour and communication. Experience in working with both captive and 
wild birds, in operant conditioning methods, and with evolutionary 
theory would be desirable. A track record of peer-reviewed publications 
is essential.

This is a full-time, fixed term post available for a period of 3 years. 
The start date is 01/06/2018. The salary is in the range of £32,956 - 
£38,709 per annum and is inclusive of London allowance. The salary will 
be dependent on qualifications, skills and experience.

Candidates must be able to demonstrate their eligibility to work in the 
UK in accordance with the Immigration, Asylum and Nationality Act 2006. 
Where required this may include entry clearance or continued leave to 
remain under the Points Based Immigration Scheme.

*Informal enquiries for further information are welcomed and may be made 
to Dr Robert Lachlan, email: r.f.lach...@qmul.ac.uk 
<mailto:r.f.lach...@qmul.ac.uk> or Tel +44 (0)20 7882 5058*

*For further information about the School, please see 
**http://www.sbcs.qmul.ac.uk* <http://www.sbcs.qmul.ac.uk/>*. *

*To apply please click the link below*

*Application enquiries should be directed to **recruitm...@qmul.ac.uk* 
<mailto:recruitm...@qmul.ac.uk>*__*

*The closing date for applications is 6 April 2018. Interviews will be 
held shortly thereafter. *

/Valuing Diversity & Committed to Equality/



***************************************************************
Dr R.F. Lachlan
Lecturer in Psychology,
Department of Biological and Experimental Psychology
School of Biological and Chemical Sciences
Queen Mary University of London
Mile End Road, London, E1 4NS
United Kingdom

Office: 3.18 G. E. Fogg
Phone:  +44 (0)20 7882 5058
E-mail: r.f.lach...@qmul.ac.uk <mailto:r.f.lach...@qmul.ac.uk>


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