丹麥奧胡斯大學(xué)2025年招聘博士后（人類(lèi)宏觀生態(tài)學(xué)）

奧胡斯大學(xué)（拉丁文：Universitas Arhusiensis；丹麥文：Aarhus Universitet），是丹麥歷史悠久、規(guī)模最大的頂尖綜合性大學(xué)，全球大學(xué)高研院聯(lián)盟、科英布拉集團(tuán)成員。該校位于丹麥日德蘭半島的奧胡斯，校區(qū)坐落于風(fēng)景如畫(huà)的大學(xué)公園。奧胡斯大學(xué)擁有國(guó)際化的學(xué)習(xí)氛圍，在讀學(xué)生總數(shù)約38000人，其中留學(xué)生比例約為10%。該校擁有優(yōu)質(zhì)的師資力量和充分的工作學(xué)習(xí)保障，有逾8000名教職員工。其具有全球第二的計(jì)量經(jīng)濟(jì)學(xué)研究中心，僅次于麻省理工學(xué)院。諾貝爾經(jīng)濟(jì)學(xué)獎(jiǎng)得主特里夫·哈維默和戴爾·莫滕森都曾在經(jīng)濟(jì)系擔(dān)任教職。

2-yr Postdoc on Human Macroecology in a Functional Trait Perspective

University of Aarhus - Department of Archaeology and Heritage Studies and the Department of Biology

Location: Aarhus - Denmark

Salary: Not Specified

Hours: Full Time

Contract Type: Fixed-Term/Contract

Placed On: 2nd January 2025

Closes: 31st January 2025

The Department of Archaeology and Heritage Studies and the Department of Biology, Aarhus University, invite applications for a 2-year Postdoc position on Human Macroecology in a Functional Trait Perspective.

The position is for 2 years and is available from September 1, 2025, or soon thereafter.

The university is keen for its staff to reflect the diversity of society and thus welcomes applications from all qualified applicants regardless of their personal background.

Research context

This postdoc project is part of the Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), funded by the Danish National Research Foundation. Overall ECONOVO aims to provide new perspectives on the future of the biosphere - to learn more please visit our website here: ECONOVO - Center for Ecological Dynamics in a Novel Biosphere - Aarhus University (au.dk)

The position

This postdoc project will be part of the ECONOVO research theme 1: Diversity Dynamics, focused on understanding biodiversity dynamics in novel ecosystems (NEs) past and present.

This position is focused on understanding the diverse roles humans might have in ecosystems globally by applying a functional trait perspective that integrates cross-cultural ethnographic idata (from, for instance, D-PLACE), palaeodemography (from, for instance, HYDE), and estimates of human energy consumption. Humans have evolved the unique, culturally and technologically mediated ability to act in multiple different ecological roles – for instance, as foragers, pastoralists, farmers, industrialists – and these variable socio-economic constellations determine their interactions with the environment.

Our aim is to understand these ecological interactions globally in a data-driven macroecological approach, and to articulate these analyses with projections of future climate, human energy consumption, and human niche dynamics differentiated by socio-economic constellation.

The postdoc is expected to lead an investigation that combines functional trait theory, metabolic theory and energetics, macroecological modelling, and human socio-ecology to better understand the variable roles adopted by human communities practicing different economies within ecosystems, and their impacts on these – past, present, and future.

We aim for the investigation to encompass a temporal scope spanning from the Middle Pleistocene to potential future scenarios.

We are open to hearing the candidate’s take on this and would like the postdoc to contribute ideas and concepts to the project and lead at least two high-quality papers in this research area. We also emphasize the importance of engaging fully in the center's outreach and educational efforts, while also supporting and encouraging collaborative work with ECONOVO colleagues, including students.

This collaboration involves sharing skills and contributing to problem-solving within the postdoc’s area of expertise.

Teaching

The position will involve some teaching as agreed upon with the Head of the Department and the project PIs.

Knowledge exchange

The successful applicant will be expected to exchange knowledge with various sectors of society and to contribute actively to public debate in areas related to the position.

Qualifications

Applicants must have a PhD degree in Ecology, Computation Anthropology, Cultural Evolutionary Studies or equivalent qualifications.

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