Postdoctoral Research Associate in Philosophy of Science

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 postdoctoral research associate in philosophy of science. The research will be supervised by Prof. Daniela Perrotti, head of the interdisciplinary research team Urban Metabolism lab.

The postdoctoral position is of a duration of 21 months and is part of an interdisciplinary research project funded by the Belgian Research Council F.R.S-FNRS. The main aim of the project is the development of a conceptual meta-framework and integrated model decision system for the study of the metabolism of urban social-ecological systems.

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

The work of the postdoc researcher will consist of developing a conceptual framework providing theoretical foundations to urban metabolism research and drawing on main notions in urban and social ecology. Main research methods include bibliographic analysis and scientific landscape mapping, taxonomy and classification network development. The researcher will also test the conceptual framework via semi-structured interviews and focus groups with scientists in social and urban ecology and other disciplines. The research will be performed in close collaboration with the other postdoctoral researcher in ecological modelling.

Start date: 1 October 2022 (adjustable based on the availability of the selected candidate).

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 (philosophy of science; epistemology, science and technology studies) and up to 5-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 at the end of August.

Requirements

Required Research Experiences

RESEARCH FIELD

Philosophy › Philosophy of science

Years Of Research Experience

4 - 10

RESEARCH FIELD

Philosophy › Epistemology

Years Of Research Experience

4 - 10

Offer Requirements

Required Education Level

Philosophy: PhD or equivalent

Required Languages

ENGLISH: Excellent

Skills/Qualifications

Qualifications

Minimum of a PhD in relevant subject area (philosophy of science, epistemology, science and technology studies).

Relevant PhD dissertation topic.

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 bibliographic analysis, semantic networks and scientific landscape mapping using VOSviewer, Gephi or equivalent, content analysis using NVivo or equivalent (e.g. PhD thesis and follow up research).

Knowledge of Ontology Web Language (or similar approach to taxonomy and classification network development) will be an asset.