Positions
Scientific environment
Main tasks and responsibilities
The post doc will lead trait-based microbial modeling activities and focus on adding processes to link VOC emissions with microbial traits and community dynamics in an existing model framework. The postdoc will apply and develop trait-based microbial models, such as DEMENT, under the guidance of the VOLT’s key collaborator, Prof. Steven Allison, University of California, Irvine. The modeling work will incorporate the microbial trait database and VOC and genomic data collected by VOLT members. The developed processes will be further coupled to ecosystem-level models to assess interactions and impacts at landscape and regional scales. The work will encompass data analysis, model development and model application. The successful candidate will be responsible for lead-writing and co-authoring scientific publications. The candidate will also have the opportunity to supervise BSc and MSc students.
The postdoc will lead data upscaling and large-scale modeling activities in the center and mainly focus on implementing observation-based VOC emission patterns from different sources into the dynamic vegetation model, LPJ-GUESS and an Earth System Model, EC-Earth. The postdoc will start by integrating the observed emission and uptake patterns of plant and soil VOCs into the LPJ-GUESS. Further, the postdoc will collaborate with microbial traits, freshwater and ocean modelers and experimentalists to integrate these ignored but important VOC sources in the large-scale model. Integration of these novel emission sources and sinks will further lead to the assessment and re-evaluation of the importance of global biogenic VOC emissions on atmospheric composition and the climate. The work will encompass data analysis, model development and model application. The successful candidate will be responsible for lead writing and coauthoring scientific publications. The candidate will also have the opportunity to supervise BSc and MSc students.
Qualifications
Position 1:
We seek an ambitious and highly motivated candidate with a PhD in biological sciences, computational biology, mathematics or a related field. A successful candidate should have experience with microbial-related modeling. Some experience with and knowledge of VOC datasets is a plus. Fluency in written and spoken English is a requirement, as well as excellent writing skills demonstrated by the publication record. The candidate should be comfortable working in teams with a collaborative mindset.
For enquiries about the position, please contact Professor Anders Priemé (aprieme@bio.ku.dk; +45 35330147) or Assistant Professor Jing Tang (Jing.Tang@bio.ku.dk; +46 35334606) or Professor Riikka Rinnan (riikkar@bio.ku.dk; +45 51827039).
Foreign applicants may find these resources useful: http://www.ism.ku.dk (International Staff Mobility)
Position 2:
We seek an ambitious and highly motivated candidate with a PhD in natural sciences with strong expertise in ecosystem modeling, atmosphere chemistry modeling, earth system modeling, or similar. A demonstrated coding experience with languages such as Python, C++, or fortran could be a plus. Some experience with and knowledge of ecosystem-level VOC emissions or atmospheric chemistry is also a plus. Fluency in written and spoken English is a requirement, as well as excellent writing skills demonstrated by the publication record. An ideal candidate is comfortable working in teams and has a collaborative mindset.
For enquiries about the position, please contact Assistant Professor Jing Tang (Jing.Tang@bio.ku.dk; +46 35334606) or Professor Riikka Rinnan (riikkar@bio.ku.dk; +45 51827039).
Foreign applicants may find these resources useful: http://www.ism.ku.dk (International Staff Mobility).
How to apply (Same for both of two position)
Applications must be in English, submitted electronically at the following link below:
Position 1:https://candidate.hr-manager.net/ApplicationForm/SinglePageApplicationForm.aspx?cid=1307&departmentId=18965&ProjectId=162795&MediaId=4636
Position 2: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=162797&DepartmentId=18965&MediaId=4636&SkipAdvertisement=true
and include:
· A cover letter describing the motivation to apply for the position
· Curriculum vitae (max 2 pages)
· Complete list of publications
· Research plan – description of current and future research plans related to the advertised position
· Pdf files of the three most relevant publications
· Diplomas (Master and PhD degree or equivalent)
· Contact details (name, address, telephone & email) of 2 professional referees
The deadline for applications is December 8, 2024, 23:59 CET.
Procedures (Same for both of two position)
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at
https://employment.ku.dk/faculty/recruitment-process/.
Terms of employment (Same for both of two position)
The position is covered by the Memorandum on Job Structure for Academic Staff.
Terms of appointment and payment according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
Negotiation for salary supplement is possible.
编辑：陈雅静 | 校稿：Hydro90编委团
