Tips from an MSCA-PF applicant

Jakub Nowosad, https://jakubnowosad.com

MSCA Postdoctoral Fellowship info session, KoWi

2025-05-13

Hi, I am Jakub

Computational geographer: intersection between geocomputation and environmental sciences


Associate Professor at the Adam Mickiewicz University, Poznan; Visiting Scientist, University of Münster


Main scientific interest: spatial pattern analysis, focusing on quantifying and understanding patterns in environmental data

Co-author of a few books on geocomputation and spatial analysis with R and Python, including “Geocomputation with R”


Creator and contributor of various R packages for spatial data processing and visualization


Educator, teaching courses on geocomputation, spatial analysis, programming, and data visualization

Website: jakubnowosad.com

PRISM

Preservation and RecognItion of Spatial patterns using Machine learning

  • “Current machine learning methods, like random forest, are effective but often overlook intricate spatial patterns inherent in ecological processes”
  • “The PRISM project tackles this by integrating and validating spatial patterns within machine learning models”

Marie Skłodowska-Curie Actions Postdoctoral Fellowship (August 2024 – August 2026)




DISCLAIMER!


This presentation reflects my personal experience and opinions.
It is subjective, may include errors, and is not authoritative.
Please do not take it as advice or guidance to follow without critical evaluation.

1. Know What You Want To Do (or Who You Want To Work With)

2. Prepare for a Major Time Investment

3. Digest the Extensive Documentation

4. Strictly Address All Bullet Points

5. Expect Hidden Expectations (AKA: Look for Help)

6. Don’t Let Structure Overshadow Ideas

7. Be Personal

8. Clarify Financial and Administrative Details Early

9. Save Formatting for the End

10. Embrace the Challenge

jakubnowosad.com/kowi2025