PhD Candidate in Biological Analysis: The Augmented Intelligence for Data Analytics (AIDA) lab at KU Leuven is inviting applications for a highly motivated PhD candidate to join their research team. This position focuses on integrating advanced data visualisation and analytical techniques to address the complexities of multi-modal ecological datasets.
PhD Candidate in Multi-Modal Biological Data Analysis
Designation:
PhD Candidate
Research Area:
Multi-Modal Biological Data Analysis
Location:
KU Leuven, Leuven, Belgium
Eligibility/Qualification:
- Master’s Degree in Bioinformatics, Computer Science, Bioscience Engineering, Visual Design/Data Visualisation, or similar, with a distinction.
- Strong foundation in general data visualisation principles and techniques.
- Proficient programming skills, including Python and D3 (JavaScript).
- Experience in unsupervised (and ideally supervised) machine learning and topological data analysis.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of different collaborative cross-domain research teams.
- Proficient in oral and written English; excellent communication and multi-tasking skills.
- Team-oriented, proactive, and result-driven.
Job Description:
- Conduct advanced data analysis, bioinformatics, and data visualisation to understand eco-evolutionary dynamics within natural landscapes.
- Utilize visual analytics, topological data analysis, and unsupervised machine learning to investigate temporal and spatial patterns across diverse data types (environmental, Daphnia genomes, Daphnia microbiomes, bacterioplankton metagenomes, etc.).
- Explore and understand the underlying complexity of ecological systems.
- Work in a collaborative and interdisciplinary research environment.
- Publish research findings in peer-reviewed journals and present at international conferences.
How to Apply:
Interested candidates should submit the following documents:
- Cover letter demonstrating your motivation and eligibility for the position.
- CV detailing your past experiences and expertise in the research area.
- Contact information of 2 referees.
- If possible, examples of prior data visualisation work.
For more information, please contact Prof. Dr. Ir. Jan Aerts at tel.: +32 16 32 21 40 or via email: jan.aerts@kuleuven.be.
Applications can be submitted via the online application tool.
Last Date for Apply:
July 28, 2024, 23:59 CET
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