Forthcoming quantitative palaeoecology PhD and Postdoc positions in Bergen

There are vacancies for a 3-year PhD position and a 3-year post-doctoral fellow position at the University of Bergen’s Department of Biology within the Ecological and Environmental Change Research Group as part of the European Research Council funded project Humans on Planet Earth – Long-term impacts on biosphere dynamics (HOPE).

UPDATE:

These positions are now advertised: PhD; Postdoc.

About the HOPE project:

A critical question in Earth system science is what was the impact of prehistoric people on the biosphere? There is a wealth of information about human impact through clearance, agriculture, erosion, and modifying water and nutrient budgets. Humans have greatly changed the biosphere patterns on Earth in the last 8000–11,000 years, but have humans modified the major ecological processes (e.g. assembly rules, species interactions) that shape community assembly and dynamics? To answer this question, patterns in pollen-stratigraphical data for the last 11,500 years from over 2000 sites across the globe will be explored consistently using numerical techniques to detect quantitative changes in 25 ecosystem properties. Patterns in these properties will be compared statistically at sites within biomes, between biomes, within continents, and between continents to test the hypothesis that prehistoric human activities changed the basic processes of community assembly and that interrelationships between processes changed though time.

The PHD position

Qualifications and personal qualities:

  • The applicant must hold a Master’s or an equivalent degree within quantitative palaeoecology, biogeography, or ecology, or related fields relevant to the PhD project.
  • The successful candidate should be highly motivated, enjoy the challenge of working with very large data-sets, and understand the relevance of the data and the results.
  • The successful candidate can work independently and in a structured manner, and have the ability to cooperate with others within HOPE’s consortium as well as within the EECRG, and to follow through challenging ideas.
  • Proficiency in both written and oral English is essential.

Special requirements for the position:

The successful candidate should have experience in quantitative analyses of palaeoecological or ecological data using the statistical software R or related programs, as well as documented skills in one or more research fields relevant to the position (e.g. Quaternary palaeoecology, palaeoclimatology, applied statistics, numerical ecology, quantitative palaeoecology, biogeography, macroecology, community ecology, biodiversity), and some experience of using large databases.

Special responsibilities for the position:

The successful candidate will be primarily responsible for developing quantitative procedures for evaluating taxon co-occurrences and co-correlations from pollen-stratigraphical data expressed as ‘closed’ percentages, for applying these procedures to pollen data across the globe as part of the HOPE project, and for evaluating taxon co-occurrence analysis in palaeoecology.

About the PhD position:

The duration of this position is 3 years. As a PhD candidate the successful applicant must participate in an approved educational programme for a PhD degree within the three-year period.

The Postdoc Position

Qualifications and personal qualities:

  • The applicant must hold a PhD or an equivalent degree within quantitative palaeoecology, ecology, biogeography, or a related field.
  • The successful candidate should be highly motivated, enjoy the challenge of working with very large data-sets, and understand the relevance of the data and the results.
  • The successful candidate can work independently and in a structured manner, and have the ability to cooperate with others within HOPE’s consortium as well as within the EECRG, and to follow through challenging ideas.
  • Proficiency in both written and oral English is essential.

Special requirements for the position include

  • The successful candidate must have experience in quantitative analyses of palaeoecological or ecological data using the statistical software R or related programming language and in using large databases.
  • The candidate will be able to document skills in one or more research fields relevant to the position such as Quaternary palaeoecology, palaeoclimatology, applied statistics, numerical ecology, quantitative palaeoecology, biogeography, macroecology, community ecology, and biodiversity.
  • The candidate will play a major role in the publication of HOPE results.

Special responsibilities for the position:

The successful candidate will be responsible for developing the HOPE database of pollen-stratigraphical data and associated chronological palaeoenvironmental and site data within the framework of state-of-the-art palaeoinformatics, for the numerical and statistical analyses of many large pollen-stratigraphical data-sets, and for developing appropriate software for particular palaeoecological and diversity analyses.

General Information

Closing date: 15 September 2017.

Detailed information about the position and about how to apply can be obtained by contacting: Professor John Birks, Department of Biology, University of Bergen (+47 5558 3350 or +47 5593 7717 / email: john.birks@uib.no).

Advertisements

About richard telford

Ecologist with interests in quantitative methods and palaeoenvironments
This entry was posted in Uncategorized. Bookmark the permalink.

One Response to Forthcoming quantitative palaeoecology PhD and Postdoc positions in Bergen

  1. Pingback: All the pollen | Musings on Quantitative Palaeoecology

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s