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Research Associate in Spectroscopy and Modelling

'Working at BFH also means dealing with contrasting demands. For example, delivering results under great time pressure in projects while at the same time slowing down to think out-of-the-box. This is not always easy. But it's super exciting.' Andrea Abraham

Research Associate in Spectroscopy and Modelling

80 - 100 %
Fixed-term for 4 years with option to make it permanent
Zollikofen
Start date March 1, 2025 or by arrangement
Homeoffice possible
To start with, here are some of our strong points
  • Great freedom in work organisation with lots of leeway for your ideas, your creativity and decisiveness.
  • ,
  • A motley crew of friendly folk from all walks of life awaits you, all with different biographies, views and experiences.
  • ,
  • National and international networks and contacts with business, economy, society and the political world.
  • ,
  • An informal, relaxed yet respectful togetherness with a great deal of helpfulness.
And here are even more good reasons to opt for BFH
What you'll be doing here
  • As member of the KOBO team, you will calibrate spectral data (vis, NIR, MIR, XRF, ...) to predict soil properties, using statistical and mathematical algorithms in R
  • Develop and implementing laboratory protocols for the spectroscopic measurements of soil properties for quality assurance (including repeated measurements and anomalies)
  • Develop a national soil spectral library
  • Research, select and procure new laboratory equipment for a spectroscopic measuring station (vis, NIR, MIR, XRF, ...)
  • Develop and implement statistical and mathematical methods to analyse and assess spectral data of soil samples for outliers, anomalies and inconsistencies
  • Develop and implement interfaces for automated and integrated data management via databases
  • Develop automation concepts for the efficient measurement of soil samples with several instruments (vis, MIR, XRF, ...), and implement them in the laboratory
  • Professional exchange with cantonal authorities, research institutions and the private sector
What you'll bring with you
  • Degree in natural sciences, preferably in the fields of geography, environmental sciences or similar subject areas
  • Good knowledge in the evaluation and calibration of spectroscopic data (especially MIR) with suitable statistical-mathematical methods
  • Very good knowledge of R software, good knowledge of programming languages, experience in the design and configuration of databases
  • Committed and responsible personality with communication skills and a confident appearance, planning and organizational skills
  • Language skills: Good command of English, knowledge of German or French
School of Agricultural, Forest and Food Sciences

At HAFL, a department of BFH, we're all about connecting humans, nature and technology towards sustainable development. As a ground-breaking, pioneering think tank, we are engaged in the creation and teaching of knowledge for the world of today and of tomorrow – bright-eyed and bushy-tailed, resilient and always solidly grounded at the same time.

Doing something meaningful in a fascinating environment and with an outlook to the future: a job at Bern University of Applied Sciencesmakes perfect sense.

Place of work
I’ll be your guide through the application procedure
Cornelia Caputi
HR Consultant
P +41 31 910 21 82
For job-specific queries
Dr. Thorsten Behrens
Head of Data Science at KOBO
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