Bolsa de Investigação: ARDITI-OOM/2016/012

Job: Research Grant (BI) for Marine Vertebrate Biotelemetry;
Job/Fellowship Reference: ARDITI-OOM/2016/012;
Main research field: n/a;
Sub research field: n/a;
 
 

Job summary:

The Ocean Observatory Madeira opens a Research Grant (BI) at post-doctoral level, with expertise in pelagic satellite and data logger telemetry and analysis.

Job description:

The oceanic archipelago of Madeira is located in the warm-temperate waters of the NE Atlantic, standing as a privileged platform to study the pelagic environment. Therefore, ARDITI, through the Oceanic Observatory of Madeira (OOM), included the remote sensing of large marine vertebrates and of the surrounding oceanographic features as one of its main goals.

In the scope of the project OOM (M1420-01-0145-FEDER-000001 - Observatório Oceânico da Madeira-OOM), OOM-ARDITI is looking for a Postdoctoral fellow with expertise in pelagic satellite and data logger telemetry and analysis. The successful candidate will join an interdisciplinary team with experience in biologging of marine birds, pelagic fishes, sea turtles and marine mammals around the archipelago of Madeira. The successful candidate will lead/collaborate in the analysis/publishing of collected data, and will lead and collaborate in joint applications for project funds for instrumentation.

Responsibilities include:

  • Collaborate in the design and application of an innovative integrated biotelemetry work program to address question of marine resource usage and conservation in the North Atlantic with special reference to Madeiran waters, using biotelemetry and data-logging methods.
  • Collaborate in the analysis and publication of existing data, mainly with the aim of integrating data from various species.
  • Collaborate or lead in the application for project funds to implement these studies.
Admission Requirements

The ideal candidate will have a PhD Degree in Biological Sciences, or a related field, and be familiar / experienced with biologging (preferentially on large marine vertebrates), with work experience and/or having published in the subject;
  • Demonstrate experience in setting up / programming satellite tags;
  • Having worked with different taxonomic groups is preferred;
  • Experience in modelling/analysis of biologging data;
  • Familiarity with analytical tool/softwares (e.g., R programing);
  • Familiarity with telemetry data formats;
  • Having raised funds for scientific projects is an advantage;
  • Experience in publishing is preferred;
  • Prior experience with deploying tags is an advantage.
  • Strong communication and collaboration skills.
  • Demonstrated strong ability to work independently in a self-directed environment.
Workplan
  • Analyze and publish collected biologging data on marine vertebrates deployed in Madeira.
  • Correlate biologging data with oceanographic data obtained from remote sensing.
  • Provide technical support for programming and deploying tags in marine vertebrates around Madeira.
  • Apply for funds/calls in order to obtain instruments (tags).
Scientific guidance and workplace

The work will be coordinated by Prof. Thomas Dellinger and Dr. Filipe Alves

Duration

1 year, renewable up to 3 years.

Salary

The monthly maintenance stipend for "Bolsa de Investigação (BI): Doutor" (1495€) is determined by ‘FCT-Fundação para a Ciência Tecnologia’ (https://www.fct.pt/apoios/bolsas/valores.phtml.en).

Evaluation criteria

The following evaluation criteria will be applied:
FS = QA + EP
FS – Final Score
QA – Qualifications
EP – Experience

QA:
3 points – PhD in Biologging (or related field of study)

EP:
4 points – co-authoring scientific papers on biologging on marine vertebrates (0.5 points for each publication in peer-reviewed journals, to a maximum of 4 points);
4 points - Experience in the data analysis of satellite and data logging telemetry in large marine vertebrates (1 point if 1 year of experience with data analysis and/or number of projects that have worked related with biologging; 2 points if between 1-3; 3 points if between 3-5; 4 points if >5);
3 points – Know-how in ecological modelling (1 point if have attendant 1 course/workshop/project’s consultant; 2 points if between 2-4; 3 points if >4);
2 points - Experience in satellite ‘language’ / tags (e.g., ARGOS, Geolocators) (1 point if had set up 1 type of satellite tag; 2 points if >1 type);
3 points - Experience on funding acquisition (project proposals) (1 point until 200.000€ acquired in scientific projects as principal investigator; 2 points if between 200.000€-400.000€; 3 points if >400.000€);
1 point - Experience in deploying satellite/geolocaters/data loggers tags in marine vertebrates (0.5 points if integrated teams / carried surveys to deploy tags up to 2 years; 1 point if >2 years);

Selection panel

Prof. Thomas Dellinger
Prof. Rui Caldeira
Prof. Nuno Nunes

Application contents

-Motivation Letter (emphasizing the candidate’s adequacy to each evaluation criteria)
-Curriculum Vitae
-PhD certificate (and/or conclusion confirmation letter + digital copy of the thesis)

Anouncement of the results

ARDITI (http://www.arditi.pt). Via e-mail.

Application submission and deadline

The application is to be submited by email to Este endereço de email está protegido contra piratas. Necessita ativar o JavaScript para o visualizar. until the 22th april 2016

 

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