Postdoctoral research associate

작업 내용

The Louvain Research Institute for Landscape, Architecture and Built Environment (LAB) at the Université Catholique de Louvain is looking for a motivated and qualified post-doctoral research associate in ecological modelling. The research will be supervised by Prof. Daniela Perrotti, head of the interdisciplinary research team Urban Metabolism lab.

The post-doctoral position is of a duration of 24 months and is part of an interdisciplinaryresearch project funded by the Belgian Research Council F.R.S-FNRS. Themainaim of the project is the development of aconceptual meta-framework and integrated model decision system for the study of the metabolism of urban social-ecological systems.

The project involves two postdocs in ecological modelling and philosophy of science who will liaise and workwith a range of stakeholders in urban and social ecology.

The work of the postdoc researcher will consist of developing a systematic characterization of state-of-the-art social and urban ecology models and an integrated decision system for model selection and coupling. The researcher will also test the decision system via semi-structured interviews andfocus groups with scientists in social and urban ecology and other disciplines.The research will be performed in close collaboration with the other postdoctoral researcherin philosophy of science.

Start date: 16 May 2022.

The postdoc researcher will be based at the Brussels campus of the LAB Institute, Rue Henri Wafelaerts 47,1060 Brussels.

Further details about this position can be obtained from the supervisor, Prof. Daniela Perrotti, daniela.perrotti@uclouvain.be

Benefits

ADDITIONAL INFORMATION

The net monthly salary is of up to 2.700€ after tax (depending on seniority). In addition to the salary, the funding package also covers social benefits, health care and allowance for traveling to and from work. An additional budget of 6.000€ is provided to cover international mobility expenses, IT and other operating costs related to the research.

Eligibility criteria

Minimum of a PhD in relevant subject area (Environmental Science, Urban Ecology, Industrial Ecology or related fields)and up to 4-year research experience from PhD

Selection process

Applications Should Include (in One Single Pdf File)

• A cover letter (2 pages max) including an explanation on how your profile matches the research project, Skills/Qualifications and Specific Requirements.
• A full CV including a list of publications as well as contact details of two academic referees.
• A short summary of your PhD thesis.
  

Please submit your application file to Prof. Daniela Perrotti daniela.perrotti@uclouvain.be

Online interviews with short-listed candidates will be held on 21 and 22April 2022.

Requirements

Required Research Experiences

RESEARCH FIELD

Environmental science › Ecology

Years Of Research Experience

4 - 10

RESEARCH FIELD

Environmental science › Natural resources management

Years Of Research Experience

4 - 10

Offer Requirements

Required Education Level

Environmental science: PhD or equivalent

Required Languages

ENGLISH: Excellent

Skills/Qualifications

Qualifications

Minimum of a PhD in relevant subject area (Environmental Science, Urban Ecology,Industrial Ecology or related fields)

Up to 4-year research experience from PhD.

Relevant PhD dissertation topic (urban ecology/urban metabolism).

Skills

Fluency in English

Excellent written English communication skills

Excellent organizational and communication skills

Excellent presentation and oral communication skills

Ability to work independently within agreed guidelines

Commitment to developing internationally competitive publication profile

Specific Requirements

Relevant Experience

Previous experience in ecological modelling (e.g. PhD thesis and follow up research)

Engagement with quantitative and qualitative data collection and management (e.g. PhD thesis and follow up research)

Knowledge of and interest in the Urban Metabolism approach; general Urban Sustainability knowledge

Knowledge of Python, R, GIS software is an advantage