Postdoctoral Scientist in Environmental Statistics: SMHI’s Hydrological Research unit in Norrköping, Sweden, is seeking a Postdoctoral Scientist to join their team. The position involves analyzing natural extreme events using environmental statistical and machine learning methods, contributing to projects aimed at improving water resource management and environmental control. The ideal candidate will have experience in geoscientific data analysis, machine learning, and hydrological modeling.
Postdoctoral Scientist in Environmental Statistics and Machine Learning
Designation: Postdoctoral Scientist
Research Area: Environmental Statistics, Machine Learning, Hydrology
Location: Norrköping, Sweden
Eligibility/Qualification:
- Ph.D. in Earth Sciences, Environmental Statistics, or a related field
- Experience in analyzing natural extreme events and geoscientific data
- Competence in machine learning/artificial intelligence, demonstrated through publications or project participation
- Proficiency in programming languages such as R and Python for handling large datasets and machine learning methods
- Excellent English language skills, both verbal and written
Job Description:
As a Postdoctoral Scientist at SMHI, you will: - Analyze large hydrological and climatological datasets for extreme events using environmental statistical and machine learning methods.
- Work in project teams to achieve project-specific goals, including scientific analysis, programming, quality assurance, and documentation.
- Publish at least one article per year in a scientific journal.
How to Apply:
To apply, please send the following documents in PDF format to the HR Department via email (firstname.surname@smhi.se) with the subject line “Post-Doc Application – [Your Name]”:
- Application for employment addressed to René Capell, Group Manager at SMHI.
- Curriculum vitae highlighting your qualifications and relevant experience.
- Cover letter (1 A4 page) detailing your scientific interests, achievements, and research intentions.
- Scan or photocopy of your university graduation diploma and Ph.D. diploma.
- List of publications, including the five most important works from the last five years, and any patents, patent applications, or research projects you have been involved in.
- Information on the number of citations of your publications and your Hirsch index.
- Names, positions, contact details, and email addresses of two referees who can provide references.
- Statement of your consent to the processing of personal data by SMHI.
Last Date for Apply: The application deadline is 7 May 2024.
Contact:
- René Capell, Group Manager: +46 11 495 80 00, firstname.surname@smhi.se
- Julia Joachimsson, HR Specialist: +46 11 495 80 00, firstname.surname@smhi.se
- Thomas Bosshard, Union Representative for ST: +46 11 495 80 00, firstname.surname@smhi.se
- Lennart Robertson, Union Representative for Saco: +46 11 495 80 00, firstname.surname@smhi.se
