Researcher Modelling moisture content of wood exposed to precipitation - Hiring in process/Finished, not possible to apply

Description of the workplace 
The research group at the department of Building and Environmental Technology at LTH works with wood and other bio-based materials. The research group consists of five researchers total, whereof two focus on durability issues. 

Starting spring 2022-05-01, the research group will work in the joint European project WoodLCC

 (https://forestvalue.org/joint-call-2021/).

The overall objective of the project is to enable robust life cycle costing of wood through providing (modelling) reliable input. The responsibility of LTH specifically targets modelling of moisture content of rain-exposed wood and its effect on fungal decay and other biotic and abiotic deteriorating mechanisms.

We value an inclusive work environment with mutual respect among colleagues.

We offer 
Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme.
Read more on the University website about being a Lund University employee Work at Lund University 

Work duties 
You will independently, under supervision of the project leader, be responsible for a smaller part of the project connected to modelling the effect of precipitation on the moisture content of wood. Your methods will be regression analysis with statistical methods such as PCA and PLS.

You will publish scientific journal articles, contribute to conferences, and support other parts of the aforementioned project.

Employment begins as soon as possible, but latest at 2022-07-01.

Qualifications  

Required qualifications for the position are:

• A PhD degree in a field relevant to the employment or competence equivalent to a PhD degree. Relevant can be interpreted as having focus on the application of data-driven modelling of precipitation-, moisture- and/or wood-related research.
• Very good oral and written proficiency in English. 
• Experience with regression analysis and statistical models (e.g., PCA/PLS)
• Experience with analysis of precipitation
• Experience with data-driven approaches
• High-level programming skills in MATLAB
• Be able to work independently and conduct independent research on advanced level.  

Additional qualifications for the position are:

• Relevant experience within wood science.
• Experience in interdisciplinary research projects. 
• Experience with machine learning and AI in time-series application.
• Experience with Python.

Consideration will also be given to 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. 

Further information 
The position is a fixed term position for 8 months at 100 per cent of full time and starting in 2022-07-01. Interviews will be conducted on our premises in Lund during May and June 2022. 

How to apply 
Applications are to be submitted via the University’s recruitment system. The application should include a CV and a personal letter justifying your interest in the position and how it matches your qualifications. The application should also include a degree certificate or equivalent and any other document to which you would like to draw attention (copies of grade transcripts, details of referees, letters of recommendation, etc.)”  

Welcome with your application!