Post-doctoral fellow in assesment of global forest dynamics Full-time NEW

Post-doctoral Fellow In Assessment Of Global Forest Dynamics

Lund University was founded in 1666 and is repeatedly ranked among the world's top universities. The University has around 46,000 students and 8,500 staff based in Lund, Helsingborg, and Malmö. We are united in our efforts to understand, explain, and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard equality, equal opportunities, and diversity as a strength and an asset.

Research and education at the Department of Earth and Environmental Sciences (MGeo) addresses fundamental and applied questions on the Earth's past, present, and future climate and environment, including people's interactions with the natural world and consequences for human wellbeing. MGeo advances and deploys cutting-edge methods, models, and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales.

The world's forests are changing rapidly around us. Rates of tree mortality are increasing in many regions, growth rates of trees are changing, and the enormous sink of carbon that they provide may be under threat. Yet we currently lack consistent and reliable global-scale assessments of how the dynamics of tree growth and death are changing and likely to change in the future. In the TreeChange project, we are combining information on life history traits, derived from field observations, with demographic vegetation modelling in order to understand and predict the future of the world's forests and the global forest carbon sink.

The fellow will join the TreeChange team at Lund University and work directly with other project nodes in Switzerland and the United Kingdom. They will work under the supervision of Thomas Pugh and alongside a wider team of researchers working on forest dynamics and ecosystem modelling at Lund University. The fellow will develop new methodology utilizing the LPJ-GUESS dynamic vegetation model and applying it for assessment of dynamics and carbon cycling in forests around the world. They can expect opportunities to substantially build their professional network, interfacing with a large team of collaborators worldwide. The fellow will also become part of the BECC research platform, a collaboration between Lund University and the University of Gothenburg, which brings together over 250 researchers working on the topics related to biodiversity and ecosystem services under a changing climate.

Work duties:

The main duties involved in a post-doctoral position is to conduct research. Opportunities for teaching may also be included, but shall constitute a minor part of the role. The position shall include the opportunity for three weeks of training in higher education teaching and learning.

The fellow will be expected to lead/contribute to research linking vegetation modelling with the LPJ-GUESS model with tree demographic information derived from ground-based inventory plot data and related tasks, as laid out in the TreeChange project description. This will include the planning of model developments, carrying out model developments, preparing and analyzing observational datasets, designing experimental protocols, carrying out the related simulations and analysis, and leading writing of peer-reviewed papers based on the results. The fellow is expected to contribute substantially to the intellectual development of the work. Participation in national and international meetings and workshops related to the above is expected, as is carrying out related administration and communication activities.

Qualification requirements:

Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the date of employment decision. Under special circumstances, the doctoral degree can have been completed earlier.

Additional requirements:

• Very good oral and written proficiency in English.
• Documented proficiency in computer programming.
• Track record of preparing and publishing high-quality scientific publications.
• PhD in biology, ecology, or related numerate scientific disciplines.

Assessment criteria and other qualifications:

This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers.

Particular emphasis will be placed on research skills within the subject.

For appointments to a post-doctoral position, the following shall form the assessment criteria:

• A good ability to develop and conduct high-quality research.
• Teaching skills.

Additional assessment criteria:

• Depth of knowledge of forest ecological processes.
• Level of experience in working with process-based modelling approaches, especially vegetation modelling.
• Competence in computer programming, with C++ an advantage.
• Evidence of ability to develop and execute own research ideas, and act upon own initiative.
• Organisational skills, including ability and willingness to contribute to and coordinate community activities, such as model intercomparisons.
• Emphasis will be placed on the quality and quantity of scientific publications and other academic achievements indicative of emerging independence as a researcher.

Consideration will also be given to good collaborative skills, drive, and independence, and how the applicant's experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Terms of employment:

This is a full-time, fixed-term employment of 2 years. The period of employment is determined in accordance with the agreement “Avtal om tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term employment as a post-doctoral fellow”) between Lund University, SACO-S and OFR/S, dated 1st February 2022.

Instructions on how to apply:

Applications shall be written in English and be compiled into a PDF-file containing:

• résumé/CV, including a list of publications,
• an application letter detailing your motivation for this position, a general description of past research and future research interests (no more than one page),
• contact information of at least two references,
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.

Welcome to apply!