Alex Levering
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Assistant Professor of Environmental Geography at VU Amsterdam
I am a research scientist working on modelling, mapping, and studying socio-cultural landscape interactions. I specialize in landscape qualities, such as livability and aesthetic beauty, especially as they are perceived by people. I'm also interested in dataset fairness (e.g. biases and confounders), human-machine interactions, multimodal data fusion approaches, and the interpretability of models. In 2024 I obtained my PhD degree from Wageningen University on the topic of deep learning for landscape qualities. I'm currently an assistant professor of environmental geography at the VU Amsterdam.
Wageningen University & Research
PhD candidate
January 1, 2019 – January 1, 2024
Wageningen University & Research
Master of Science (MSc.), Geographical Information Sciences
January 1, 2016 – January 1, 2019
Wageningen University & Research
Minor Geo-Information Sciences
January 1, 2014 – January 1, 2015
HZ University of Applied Sciences
Bachelor of Applied Science (BSc.), Delta Management
January 1, 2012 – January 1, 2016
HAS green academy
None, Environmental Sciences
January 1, 2011 – January 1, 2012
Maaslandcollege
HAVO, Natuur-Gezondheid
January 1, 2005 – January 1, 2011
HKUST Guangzhou
Adjunct Assistant Professor
January 1, 2025 – Present
Guangzhou, Guangdong, China · Hybrid
VU Amsterdam
Assistant Professor
September 1, 2024 – Present
VU Amsterdam
Postdoctoral Researcher
November 1, 2023 – September 1, 2024
Washington University in St. Louis
Visiting Researcher
November 1, 2022 – April 1, 2023
St Louis, Missouri, United States · On-site
Wageningen University & Research
PHD Candidate
September 1, 2019 – January 1, 2024
Wageningen
Antea Group Nederland
Advisor Data & Information
January 1, 2019 – July 1, 2019
Deventer
University of Melbourne
Visiting Graduate Researcher
March 1, 2018 – August 1, 2018
Greater Melbourne Area
Antea Group
Intern geo-machine learning
September 1, 2017 – January 1, 2018
Overijssel, Netherlands
Deltares
Intern web GIS and research
September 1, 2015 – June 1, 2016
Delft, South Holland, Netherlands
Projectbureau Zeeweringen
Intern documentation
July 1, 2015 – August 1, 2015
Middelburg
IHS Institute for Housing and Urban Development Studies (Erasmus University Rotterdam)
Intern GIS and research
January 1, 2015 – June 1, 2015
The Randstad, Netherlands
Sweco / Wageningen University FME Capita Selecta course
Sweco
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with a strong focus on GeoAI and Remote Sensing. While this provides deep expertise in a niche ML area, the breadth of experience in general software engineering practices, product development lifecycles, or diverse industry applications for ML is not explicitly detailed. This might indicate a stronger fit for research-focused ML roles or organizations that heavily leverage geospatial data. The lack of diverse project experience outside of academic/research settings could be a moderate cultural fit challenge for a general ML Engineer role in a fast-paced product-driven environment.
Soft Skills & Operational Fit
The candidate's academic and research roles suggest strong analytical thinking, problem-solving, and independent research capabilities. Experience in teaching and guest lecturing implies good communication and presentation skills. The descriptions of past roles indicate a proactive approach to R&D and introducing new technologies (e.g., machine learning to Antea Group).