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Ecological Modeller

Reference   (Please mention Stopdodo/Environment Jobs in your application)
Sectors Terrestrial / Aquatic Ecology & Conservation
Location Scotland (Central) - UK
Town/City Falkirk, Central Scotland
Type Fixed Term and Permanent Roles
Status Full Time
Level Mid Level
Deadline 02/12/2012
Company Name Natural Power
Contact Name
Telephone +44 (0) 1644 430 728
Website Further Details / Applications
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Company Overview

Natural Power Consultants are a leading international renewable energy consultancy.  We provide expert services to the renewable energy industry in the development, construction and operational phases of renewable energy projects.  We have built a successful ethos for delivering environmentally rewarding projects that allow Clients to reach their economic objectives.

The Opportunity

Natural Power’s Ecology and Hydrology department currently seeks a highly motivated Ecological Modeller to join our team based inFalkirk(exact level offered will be dependent on experience).  Reporting to the Ecologist, you will work with the existing data analyst to providing statistical support within the Ecology and Hydrology Team for clients within the wind and wave/tidal industries.  In this role, you will primarily be responsible for the following duties and responsibilities:

  • Conduct a variety of data analyses contributing to the ecological characterisation of sites, assessment of potential ecological risks associated with renewable energy developments, and identification of environmental impacts of existing developments.
  • Contribute to the ongoing development of statistically robust data collection and survey methodology within the team.
  • Facilitate accurate interpretation and appropriate presentation of survey data and the results of statistical analyses in technical reports for clients and peer-reviewed publications.
  • Contribute to the development of procedures for analyzing the typically complex ecological data collected during ecological surveys for renewable energy projects.
  • Provide training to other staff members regarding best practice for data analysis and data presentation.
  • Work closely with colleagues to meet client deadlines and required objectives.
    • Attend regular team meetings.
    • Build and maintain positive effective working relationships.

Knowledge & Experience

You will be trained to degree level or higher in a biological, environmental or ecological discipline and/or statistical data analysis, and be able to demonstrate an interest in ecological issues relating to renewable energy and excellent quantitative skills. A doctorate in a relevant subject area may be an advantage.

You will have specialist knowledge and experience in:

  • Use of R for statistical analysis and graphical data representation.
  • Use of standard ecological data analysis tools such as generalised linear modelling, generalised additive modelling, mixed effects modelling and multivariate techniques.

Knowledge of any of the following areas would be beneficial:

  • Techniques such as population viability analysis, distance sampling, avian collision risk modelling, under water collision risk modelling and current methods for assessing abundance and distribution of organisms.
  • Analysis of complex ecological datasets including zero-inflation and spatial and temporal autocorrelation.
  • Use of GIS for spatial data analysis.

The office

This role will be based at our office inFalkirk, (however we will be moving to a larger office inStirlingin late 2013).


Salary is dependent on experience and background.  We offer generous holidays, membership to our group personal pension scheme, childcare vouchers, bike to work scheme, Friday barbecues, life assurance, critical illness cover and income protection.  You will be joining a rapidly growing business committed to your career development within Natural Power.

For more information and to apply, please visit our careers section of company website:


Please upload your CV and cover letter; this should include; notice period, availability to interview, current salary, salary sought and where you saw the advert.

Closing date:  Sunday 2nd December.   Interviews held:  12th and 13th December

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