ClimBEco PhD courses
The ClimBEco graduate research school offers PhD courses every year. Some are in-depth disciplinary while others cross disciplinary borders.
Generally, ClimBEco PhD courses consist of one intensive study week with pre-reading before and an assignment after. Some exceptions apply. The courses are free of charge and open to all PhD students that meet the admission requirements; priority will be given to PhD students enrolled in the ClimBEco programme. Potential costs for travel and accommodation can be covered for current ClimBEco PhD students, but inform us before applying to courses at another university (UGOT participants contact Kong, LU and other participants contact Cheryl).
Here is a document with the instruction on how to book travel and accommodation:
Travel instructions for ClimBEco PhD students (PDF, 157 kB, new tab).
Below you find the information about:
ClimBEco PhD courses Spring 2026
Bayesian Analysis and Decision Theory
2-3 February and 24-25 February (in-person in Lund on both occasions)
Lund University (5 ECTS)
The course gives an introduction to the principles behind Bayesian decision analysis and how to quantify and treat uncertainty in quantitative assessments. Upon completion, students should be able to give an account of science theoretic arguments behind principles to quantify and treat uncertainty in knowledge production and decision making, as well as to reflect over the limitations and arguments for such principles to specify a decision problem and to produce knowledge to support the decision problem.
- Course syllabus (PDF, 240 kB, new tab)
- Host: Department of Earth and Environmental Sciences, Lund University
- Register for the course through the webform page (cec.lu.se)
- Register by 15 December
- Course coordinator: Ullrika Sahlin
- ullrika [dot] sahlin [at] cec [dot] lu [dot] se (ullrika[dot]sahlin[at]cec[dot]lu[dot]se)
Boreal Forest Resilience
2-6 March, Lund University (3 ECTS)
This course looks at how forest ecosystems are responding to climate change and how management strategies are evolving. During the five days, the course moves from science–policy interactions and future forest management to field-based learning and emerging monitoring tools. Students engage with current research, explore real-world case studies during an excursion, and discuss risks such as insect outbreaks, wildfires, and drought. The course also includes a stakeholder workshop that ties scientific insights to practical decision-making at the landscape scale.
- Course syllabus NNG008F (PDF, 593 kb, new tab)
- Host: Department of Earth and Environmental Sciences, Lund University
- Register for the course through the webform page (cec.lu.se)
- Register by 10 February
- Course coordinators: Adrian Gustafson and Hakim Abdi
- adrian [dot] gustafson [at] nateko [dot] lu [dot] se (adrian[dot]gustafson[at]nateko[dot]lu[dot]se) and hakim [dot] abdi [at] cec [dot] lu [dot] se (hakim[dot]abdi[at]cec[dot]lu[dot]se)
Nature-based solutions at the Climate-Biodiversity-Health Nexus: Social and Natural Science Perspectives
2-6 March 2026, Lund University (3 ECTS)
A course hosted by the Agenda 203 Graduate School, Lund University
This course incorporates social and natural science perspectives on nature-based solutions (e.g., environmental psychology, ecology, physical geography, epidemiology, human rights and governance). It thereby aims at broadening disciplinary boundaries and provides a holistic, interdisciplinary approach to the climate-biodiversity-health nexus and proposed solutions within it (i.e., nature-based solutions). It aims at evaluating these solutions critically and fostering an understanding of challenges, trade-offs, and synergies when trying to solve complex global issues.
Minimum 5 and maximum 20 participants.
- Course syllabus (fukurser.lth.se)
- Host: Environmental Phychology, Dept of Architecture and Built Environment, LTH
- Register to the course through the webform page (cec.lu.se)
- Register by 10 February
- Course coordinators: Maria Johansson and Marlis Wullenkord
- maria [dot] johansson [at] abm [dot] lth [dot] se (maria[dot]johansson[at]abm[dot]lth[dot]se) and marlis [dot] wullenkord [at] abm [dot] lth [dot] se (marlis[dot]wullenkord[at]abm[dot]lth[dot]se)
Global Elemental Cycles and Environmental Change
16-20 March, Lund University (3 ECTS)
The primary purpose of the course is to provide students with an advanced understanding of biogeochemical cycles, their drivers and global change in ecosystems. Detailed knowledge of specific elemental cycles with the transformations and movement of chemical substances will be taught in an integrated perspective. In addition, the emphasis will be on coupling biogeochemical cycles of different elements, the role of microbial drivers and the course will stress the multi-disciplinary nature of environmental change.
- Course syllabus (PDF, 371 kB, new tab)
- Host: Department of Earth and Environmental Sciences, Lund University
- Course announcement (PDF 408kb)
- Register for the course through the webform page (cec.lu.se)
- Registration deadline 23 February
- Course coordinators: Daniel Conley and Johanna Stadmark
- daniel [dot] conley [at] geol [dot] lu [dot] se (daniel[dot]conley[at]geol[dot]lu[dot]se) and johanna [dot] stadmark [at] geol [dot] lu [dot] se (johanna[dot]stadmark[at]geol[dot]lu[dot]se)
AI for Earth and Environmental Sciences
tbd April, University of Gothenburg (5 ECTS)
This course gives an overview of the background and status of AI, with focus on machine learning and deep learning in Earth and Environmental sciences.
- Course description (gu.se) (coming)
- Course syllabus (PDF, 114 kb, new tab)
- Course registration will open shortly.
- Host: Department of Earth Sciences, UGOT
- Course coordinator: Heather Reese
- heather [dot] reese [at] gu [dot] se (heather[dot]reese[at]gu[dot]se)
Introduction to R
20-24 April, Lund University (1,5 ECTS)
The course covers the basics of R with a focus on basic functions, different data structures, import and export of data between R and other programs, data visualization, functions to summarise and manipulate data, Rstudio – an integrated development environment (IDE), as well as basic statistics functions in R.
Hosted in collaboration between the ClimBEco, IBIO and COMPUTE research schools, Lund University
- Course syllabus (PDF, 469 kb, new tab)
- Host: Centre for Mathematical Sciences, LU
- Register to the course through the webform page (cec.lu.se)
- Registration deadline 7 April
- Course coordinators: Johan Lindström and Linda Hartman
- johan [dot] lindstrom [at] matstat [dot] lu [dot] se (johan[dot]lindstrom[at]matstat[dot]lu[dot]se) and linda [dot] hartman [at] matstat [dot] lu [dot] se (linda[dot]hartman[at]matstat[dot]lu[dot]se)
Sustainability Science: Foundations, concepts, methodologies
1-5 June, Lund University (7,5 ECTS)
Tackling the world’s toughest sustainability challenges requires robust knowledge, interdisciplinary methodologies, and strong collaborative efforts. This PhD course focuses on the emerging research field of sustainability science, and its strong intentions to stimulate knowledge and learning on concepts, attitudes, and methodologies to contribute to inclusive sustainable societal change. More specifically, the aim is for participants to develop a more comprehensive understanding of the development of the field, including different perspectives (e.g., resilience, sustainability transitions, governance of sustainability, political economy, political ecology, and social movements) and specific approaches (e.g. methods of critique, extended cases study, ethnographic interviews, quantitative analytical tools and methods, visioning and imaginaries) often used in the field.
- Course syllabus (syllabus will be available soon)
- Host: Lund University Centre for Sustainability Studies (LUCSUS)
- Course registration will open shortly.
- Course coordinators: Torsten Krause and Bregje van Veelen
- torsten [dot] krause [at] lucsus [dot] lu [dot] se (torsten[dot]krause[at]lucsus[dot]lu[dot]se) and bregje [dot] van_veelen [at] lucsus [dot] lu [dot] se
Contact
Contact us at ClimBEco with any questions.