PhD position in forest growth modelling
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Frederiksberg C
Department of Geosciences and Natural Resource Management, the section of Forest and Bioresources invites applicants for a PhD position in modelling forest growth and development. The project is part of the scientific consultancy provided to the Danish Nature Agency as part of the consultancy agreement with the Danish Ministry of Environment.
Start date is expected to be 1 October 2024 or as soon as possible thereafter.
The project
Sustainable forest management is a critical component of environmental conservation and climate change mitigation. Accurate growth models play a pivotal role in guiding decision-making processes related to forestry practices. However, in the face of evolving forest management paradigms such as closer-to-nature forestry, forests managed for biodiversity conservation, and climate-targeted forestry, there is an urgent need to develop updated growth models that incorporate parametric modeling and where relevant novel AI methodologies. This proposed PhD project aims to address this crucial knowledge gap by advancing growth models for changing forest management and environmental sustainability.
Expected Outcomes
This PhD project will contribute significantly to the field of sustainable forest management by providing updated growth models that are adaptable, accurate, and capable of addressing the challenges posed by changing forest management paradigms and climate impacts. The integration of AI techniques will enable a deeper understanding of forest dynamics and enhance the decision-making process for policymakers and forest managers.
The outcomes of the PhD project could include
Who are we looking for?
We are looking for candidates with a background in the fields of forestry, silviculture, and statistical analysis and modelling. Candidates with documented knowledge on modelling forest growth and development are preferred. Further, applicants with documented experience in completing a scientific manuscript will be prioritized. However, we are also seeking a motivated and creative PhD student with good interpersonal and communication skills.
Our group and research- and what do we offer?
The group is a part of the Department of Geosciences and Natural Resource Management, Faculty of SCIENCE, University of Copenhagen. We are located in Copenhagen.
We offer creative and stimulating working conditions in dynamic and international research environment
Principal supervisor is Senior scientist Thomas Nord-Larsen, Department of Geosciences and Natural Resource Management, [email protected]. Phone: +45 40324394
The PhD programme
A three year full-time study within the framework of the regular PhD programme (5+3 scheme).
Qualifications needed for the PhD programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. forestry, silviculture and statistical analysis and modelling. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
Terms of employment in the PhD programme
Employment as PhD fellow is full time and for maximum 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. The position is covered by the Protocol on Job Structure.
Responsibilities and tasks in the PhD programme
We are looking for the following qualifications:
Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
Please include:
Application deadline:
The deadline for applications is 3 July 2024, 23:59 GMT +2.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further process
After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.
The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.
Interviews with selected candidates are expected to be held in week 31
Questions
For specific information about the PhD fellowship, please contact the principal supervisor.
General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.
Kilde: Jobnet.dk
Start date is expected to be 1 October 2024 or as soon as possible thereafter.
The project
Sustainable forest management is a critical component of environmental conservation and climate change mitigation. Accurate growth models play a pivotal role in guiding decision-making processes related to forestry practices. However, in the face of evolving forest management paradigms such as closer-to-nature forestry, forests managed for biodiversity conservation, and climate-targeted forestry, there is an urgent need to develop updated growth models that incorporate parametric modeling and where relevant novel AI methodologies. This proposed PhD project aims to address this crucial knowledge gap by advancing growth models for changing forest management and environmental sustainability.
Expected Outcomes
This PhD project will contribute significantly to the field of sustainable forest management by providing updated growth models that are adaptable, accurate, and capable of addressing the challenges posed by changing forest management paradigms and climate impacts. The integration of AI techniques will enable a deeper understanding of forest dynamics and enhance the decision-making process for policymakers and forest managers.
The outcomes of the PhD project could include
- Advanced parametric growth models that incorporate AI methodologies for improved accuracy and adaptability.
- Insights into the growth and productivity of different tree species under varying management practices and climate scenarios.
- Pathways to implement resulting growth modelling in existing or novel forest management systems.
- Comprehensive assessments of carbon stocks, and carbon balances.
- Economic evaluations of forest policies and management strategies for informed decision-making.
Who are we looking for?
We are looking for candidates with a background in the fields of forestry, silviculture, and statistical analysis and modelling. Candidates with documented knowledge on modelling forest growth and development are preferred. Further, applicants with documented experience in completing a scientific manuscript will be prioritized. However, we are also seeking a motivated and creative PhD student with good interpersonal and communication skills.
Our group and research- and what do we offer?
The group is a part of the Department of Geosciences and Natural Resource Management, Faculty of SCIENCE, University of Copenhagen. We are located in Copenhagen.
We offer creative and stimulating working conditions in dynamic and international research environment
Principal supervisor is Senior scientist Thomas Nord-Larsen, Department of Geosciences and Natural Resource Management, [email protected]. Phone: +45 40324394
The PhD programme
A three year full-time study within the framework of the regular PhD programme (5+3 scheme).
Qualifications needed for the PhD programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. forestry, silviculture and statistical analysis and modelling. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
Terms of employment in the PhD programme
Employment as PhD fellow is full time and for maximum 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. The position is covered by the Protocol on Job Structure.
Responsibilities and tasks in the PhD programme
- Carry through an independent research project under supervision
- Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
- Participate in active research environments, including a stay at another research institution, preferably abroad
- Teaching and knowledge dissemination activities
- Write scientific papers aimed at high-impact journals
- Write and defend a PhD thesis on the basis of your project
We are looking for the following qualifications:
- Professional qualifications relevant to the PhD project
- Relevant publications
- Relevant work experience
- Other relevant professional activities
- Curious mind-set with a strong interest in forests and climate change mitigation
- Good language skills
Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
Please include:
- Motivated letter of application (max. one page)
- Your motivation for applying for the specific PhD project
- Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
- Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
- Publication list (if possible)
- Reference letters (if available)
Application deadline:
The deadline for applications is 3 July 2024, 23:59 GMT +2.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further process
After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.
The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.
Interviews with selected candidates are expected to be held in week 31
Questions
For specific information about the PhD fellowship, please contact the principal supervisor.
General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Frederiksberg C.
Jobbet er oprettet på vores service den 19.6.2024, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Øvrige
- Frederiksberg C
- Onsdag den 03. juli 2024
Lignende jobs
-
Senior Associates og Managers til Transaction Advi...
Fri kontaktSenior Associates og Managere til Transaction Advisory Service i København. Vi mærker en stigende efterspørgsel efter rådgivning i forbindelse med køb og salg af virksomheder, herunder finansiel due diligence. Derfor søger vi Senior Associates og Managere til vores TAS team på Østerbro.Få mere info- Øvrige
- København
-
Konsulent til DI's AI for Alle indsats
Fri kontaktDansk Industri (DI) er Danmarks største erhvervs- og arbejdsgiverorganisation. Vores mission er at hjælpe danske virksomheder med at vinde både i Danmark og internationalt. Med over 950 dygtige kolleger og mange eksterne samarbejdspartnere arbejder vi for at skabe de bedste vilkår for DI's medlemmer.Få mere info- Øvrige
- København V
-
Studentermedhjælper, der brænder for at finde de b...
Fri kontaktVil du kickstarte din karriere inden for rekruttering og marketing? Og vil du arbejde tæt på Metroen i hjertet af Frederiksberg? Centrum Personale søger en engageret og detaljeorienteret studentermedhjælper, der brænder for at finde de bedste talenter og styrke vores synlighed gennem kreative marketinginitiativer. Om jobbet.Få mere info- Øvrige
- Frederiksberg
Statistik over udbudte jobs som øvrige i Frederiksberg C
Herunder ser du udviklingen i udbudte øvrige i Frederiksberg C over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal øvrige.
Se flere statistikker her:
Statistik over udbudte øvrige i Frederiksberg C over tid
| Dato | Alle jobs som øvrige |
|---|---|
| 23. december 2024 | 0 |
| 22. december 2024 | 0 |
| 21. december 2024 | 0 |
| 20. december 2024 | 0 |
| 19. december 2024 | 0 |
| 18. december 2024 | 0 |
| 17. december 2024 | 0 |
| 16. december 2024 | 0 |
| 15. december 2024 | 0 |
| 14. december 2024 | 0 |
| 13. december 2024 | 0 |
| 12. december 2024 | 0 |
| 11. december 2024 | 0 |
| 10. december 2024 | 0 |
| 9. december 2024 | 0 |
| 8. december 2024 | 0 |
| 7. december 2024 | 0 |
| 6. december 2024 | 0 |
| 5. december 2024 | 0 |
| 4. december 2024 | 0 |
| 3. december 2024 | 0 |
| 2. december 2024 | 0 |
| 1. december 2024 | 0 |
| 30. november 2024 | 0 |
| 29. november 2024 | 0 |
| 28. november 2024 | 0 |
| 27. november 2024 | 0 |
| 26. november 2024 | 0 |
| 25. november 2024 | 0 |
| 24. november 2024 | 0 |
| 23. november 2024 | 0 |