Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 22 days ago

Postdoctoral researcher in biodiversity forecasting, vegetation dynamics and rewilding

Økoinformatik og biodiversitet

Where
Aarhus C, Denmark
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPostdoctoral researcher in biodiversity forecasting, vegetation dynamics and rewildingØkoinformatik og biodiversitet · Aarhus C, Denmark

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Økoinformatik og biodiversitet's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 22 days ago

The posting

Are you interested in developing spatially explicit forecasts of how rural depopulation, climate and land-use change, and alternative rewilding pathways may reshape plant diversity and ecosystem functioning across Europe? The Department of Biology at Aarhus University invites applications for a two-year postdoctoral position, offering an exciting opportunity to join the new Biodiversa+ REDESIGN project.

Expected start date and duration of employment 1 January 2027 or as soon possible.

Job description The postdoctoral researcher will focus on modelling how depopulation and rewilding impact on biodiversity & ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and biodiversity dynamics.

The main tasks will be to:

  • assemble, harmonise and analyse large spatial and temporal biodiversity datasets, including vegetation-plot, environmental, land-use, demographic and remote-sensing data;
  • develop spatially explicit forecasts of plant diversity and community change under alternative climate, socioeconomic, land-use, depopulation and rewilding scenarios, with projections extending to 2100 and, where appropriate, 2300;
  • develop and/or integrate hierarchical species distribution models and/or dynamic vegetation modelling approaches, using contemporary and historical biodiversity data for calibration and evaluation;
  • quantify uncertainty and conduct sensitivity analyses to determine the relative influence of climatic, ecological and socioeconomic drivers on projected biodiversity change;
  • assess the functional consequences of projected community change by linking vegetation forecasts to plant functional traits, ecosystem structure, productivity, carbon storage, nutrient cycling, functional redundancy, resilience and other indicators of ecological integrity;
  • compare trophic rewilding and passive-management trajectories, including the potential effects of large-herbivore and carnivore distributions or reintroductions in land-abandonment landscapes;
  • identify potential refugia, ecological traps and areas with high potential for biodiversity recovery or rewilding under future environmental change;
  • produce reproducible geospatial workflows, scenario maps, scientific publications and material contributing to decision-support tools and policy-oriented outputs; and
  • collaborate closely with project partners across Europe and contribute to the synthesis and communication of the project results.

The position provides substantial scope for methodological development and scientific publication at the interface of macroecology, biodiversity modelling, global-change ecology and restoration science.

Your profile Applicants must hold a PhD or have submitted a PhD thesis before the starting date, in ecology, macroecology, biogeography, environmental science, geography, ecological modelling, ecoinformatics or a closely related field.

We are particularly interested in candidates with several of the following qualifications:

  • advanced quantitative abilities and proven experience in spatial ecological modeling
  • experience with species distribution models, joint/hierarchical community models, dynamic vegetation models, or related biodiversity forecasting approaches;
  • advanced programming skills in R and/or Python and experience with reproducible analytical workflows;
  • experience handling large geospatial, biodiversity, vegetation-plot, remote-sensing or environmental datasets;
  • knowledge of climate and land-use scenarios, including SSP/RCP-based projections, and methods for propagating or quantifying model uncertainty;
  • experience analysing plant community composition, functional traits, functional diversity, ecosystem functioning or ecological stability;
  • experience with remote-sensing products and cloud/geospatial computing is an advantage;
  • a publication record that is competitive for the candidate’s career stage, along with the ability to present findings clearly through scientific writing and visualizations; and
  • the capacity to work on one’s own while making meaningful contributions to an interdisciplinary, international research team

Proficiency in both written and spoken English is required.

Who we are The Department of Biology (Department of Biology - Aarhus University) provides a framework for research and teaching in all major biological subdisciplines. The department is especially known for its research contribution in biodiversity, global change and conservation biology, aquatic biology and ecology, arctic environment and ecosystems, genetics and evolution, microbiology and zoophysiology. The department currently encompasses approximately 200 academic and technical staff and 45 PhD students while 400 students follow the BSc and MSc programs offered by the institute. The position will be Embeded with the ECONOVO research center. The primary mission of ECONOVO is to provide the scientific foundation needed to steer emerging, novel environmental conditions toward positive outcomes that sustain global biodiversity and keep the planet livable.

The Department offers a vibrant and informal research environment with a long-standing tradition of collaboration with international university partners. Much of the internal communication is in English and we welcome international applicants.

What we offer

  • an exciting interdisciplinary environment with many national, international collaborators
  • a research climate encouraging lively, open and critical discussion within and across different fields of research
  • a work environment with close working relationships, networking and social activities
  • a workplace characterised by professionalism, equality and a healthy work-life balance.

Place of work and area of employment The place of employment is Aarhus University, Department of Biology, Section for Ecoinformatics and Biodiversity (ECOINF), Ny Munkegade 114, DK-8000 Aarhus C, Denmark, and the area of employment is Aarhus University with affiliated institutions. The work involves some periods of travel away from Aarhus for project meetings.

Contact information For further information, please contact: Associate professor, Alejandro Ordonez via mail ([email protected]).

Deadline Applications must be received no later than 1 November 2026.

Posting text belongs to the employer. Removal requests: contact us.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Økoinformatik og biodiversitet's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Økoinformatik og biodiversitet's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Økoinformatik og biodiversitet's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.