Master Student Internship in the implementation of a capture-recapture study on newts using camera traps (biology, zoology or biostatistics) (M/F)

Reference : ERIN-2019-Intern-002

Type: Intern
Contract type: Internship
Duration: 6 months
Place: Belvaux

Context

 

The Luxembourg Institute of Science and Technology (LIST) is a mission-driven Research and Technology Organization (RTO) that develops advanced technologies and delivers innovative products and services to industry and society. As a major engine of the diversification and growth of Luxembourg’s economy through innovation, LIST supports the deployment of a number of solutions to a wide range of sectors, including energy, IT, telecommunications, environment, agriculture, and advanced manufacturing at national and European level. Thanks to its location in an exceptional collaborative environment, namely the Belval Innovation Campus, LIST accelerates time to market by maximizing synergies with different actors, including the university, the national funding agency and industrial clusters.

The Observatory for Climate and Environment (OCE) operates different types of dense and national networks of hydroclimatology and biodiversity measurements. On behalf of the Ministry for Sustainable Development and Infrastructure (MDDI), we operate and maintain a biodiversity-monitoring programme in Luxembourg, with an emphasis on species of European interest (Habitats Directive 92/43/EEC).

 

Description

 

The OCE is actively engaged in the development of innovative biodiversity observation tools. In this frame, the NEWTRAP project (FNR-PoC) aims to develop a camera trap to improve standardised monitoring schemes of newts. A population estimate requires individualising each specimen for the need of the capture-recapture analysis. For newts, standard methods like funnel traps or nets are so laborious and invasive that population estimates are rarely implemented, and almost never on long-term. The NEWTRAP project already demonstrated that a camera trap is able to produce high-resolution time series of newt observations based on the automated production of belly pictures in ponds for days. The project includes as well the development of computer-based solutions to automate image and data processing.  

The aim of this training offer is to undertake a capture-recapture campaign comparing a standard method (funnel trap) with the newt camera trap. This training includes fieldwork, data encoding and management, and computation of capture-recapture analyses.    

 


Profile

 

Education

  • Master in biology, zoology or biostatistics

Language

  • English or French is required

 

Share this page:

ERIN-2019-Intern-002


 

Apply online

Contact

Dr Jenny RENAUT
Dr Jenny RENAUT

 Stéphanie LUCADELLO
Stéphanie LUCADELLO