Post doc: Using networks to predict risk of invasion


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Post-doctoral research position announcement:

Starting date: October-November 2016 (starting date flexible)
Duration: 24 months
Stipend: EUR 1495 per month (free of tax) plus social security.
Other subsidies: EUR 750 per year to participate in scientific meetings and conferences, EUR 300-600 for inbound and outbound travelling.

The deliberate or accidental introduction of species outside their native range is one of the main components of anthropogenic–induced global changes. Biological invasions have been increasing in number and affecting larger areas, with deep reaching impacts on ecosystems, economic activity and human welfare. As a result, invasive species now rank among the top threats to global biodiversity, and annual monetary impacts of invasives are estimated at 120 billion € in the USA and at least €12 billion in Europe. This threat urges global and regional organisations, national governments and local agencies to implement improved and integrated strategies to counter existing invasions and prevent new ones. The successful candidate will integrate a large cohort of researchers working on invasion biology of birds globally, and will endeavour to model risk of bird invasion using information on networks of bird trade, as well as environmental and socio-economic predictors.

Research environment:
The postdoc will be associated with Miguel Araújo Lab (, while being physically located at the CIBIO-UE ( The successful candidate will work in the context of a collaboration led by Luís Reino (CIBIO-InBIO) and involving a cohort of international scientists including Pedro Beja (CIBIO-InBIO) partners including Riccardo Scalera (IUCN), Daniel Sol (CSIC), David Richardson (Stellenbosch University), Diederik Strubbe (University of Copenhagen), amongst others.

Required background and skills:
Two alternative profiles are acceptable for this post:
Profile 1 – PhD in Mathematics or Physics. Solid skills in modelling network-related dynamics. Good programming skills are a must.

Profile 2 – PhD in Biology, Ecology, or related fields. Solid background in dispersal ecology with proven experience with environmental modelling, numerical analysis of ecological data, and /or macroecology. Good programming skills are a must.

Language: English as a first or second language is required.
Publication record: Candidates are expected to have a good publication record in internationally refereed journals.

Send your application by email to Natália Melo ( before the 1st of July 2016. The application must include a cover letter (in English) explaining why you think you are an adequate candidate for the post, a short CV (please no more than 5 pages), external links to five of your most relevant papers, and the names and contacts of two academics that can provide a reference for you.

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