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Computational Biology and Integrative Taxonomy● OpenPostdocPreview

Postdoctoral Fellow in Integrative Taxonomy: Genomics and AI

Advance biodiversity science by integrating plant genomics and AI to revolutionize species identification and taxonomy.

Best for:Best for postdoctoral researchers with a PhD in genomics, bioinformatics, or a related field, strong programming skills in Python/Bash, and experience with AI/ML frameworks like PyTorch.

Naturalis Biodiversity Center · Leiden, Netherlands · R2 · Recognised researcher
More professors at Naturalis Biodiversity Center
Plant genomicsAI-driven species identificationBioinformatics pipelinesGenomic data analysisBiodiversity monitoringMachine learning for taxonomy
This is a postdoc position — not a PhD studentship.
Deadline
Nov 22, 2026
38 days
Funding
Salaried
€3.8k–€4.9k/mo
Start date
flexible (contract begins upon selection)
Full-time
Location
Leiden
Netherlands

Overview

This postdoctoral position at Naturalis Biodiversity Center in Leiden focuses on pioneering research at the intersection of plant genomics and artificial intelligence. The successful candidate will develop cutting-edge bioinformatic pipelines and AI-driven methods to enhance species identification for challenging plant families, contributing directly to global biodiversity monitoring efforts. The role involves collaboration with international partners, mentoring students, and disseminating findings through high-impact publications and presentations. The position offers a dynamic environment with access to state-of-the-art facilities, funding opportunities, and a supportive postdoc community.

postdoctoral fellowshipgenomicsAI in biodiversitybioinformaticsspecies identificationplant taxonomyPython programmingPyTorch

What you'll do

  • Develop and implement advanced bioinformatic pipelines using genomic and AI methods to improve species identification for difficult plant families.
  • Collaborate with international partners to apply for grants and funding opportunities to advance research projects.
  • Conduct high-risk, high-reward research exploring genome-wide and AI-driven approaches beyond traditional DNA barcoding methods.
  • Publish findings in high-impact scientific journals and present research at international conferences.
  • Mentor students and contribute to teaching, fostering the next generation of biodiversity scientists.
  • Participate in institutional programs (e.g., ARISE, AcellARISE, eDentity) focused on AI and biodiversity monitoring.
  • Engage in professional development activities, including workshops, training sessions, and peer review meetings.

Requirements

Degree required: PhD in genomics, bioinformatics, computational biology, or a related field with expertise in plant genomics

Language: English; strong proficiency required for academic communication and collaboration

Instruction: English

Publications: Experience in publishing and disseminating research findings via scientific publications, lectures, or conference presentations

Required skills
  • Proven experience in genomic research, ideally with plants
  • Familiarity with sequencing technologies such as target enrichment and genome skimming
  • High proficiency in coding using Bash and Python, with code maintained in a public repository (e.g., GitHub)
  • Skills in Linux/HPC environments, open-source genomics pipelines, and workflow management systems (e.g., Snakemake)
  • Strong proficiency in English for academic communication
Nice to have
Experience implementing neural network models and using ML/AI frameworks like PyTorchKnowledge of artificial intelligence and machine learning applications in genomicsExperience with image recognition and dataset training for species identification
Eligibility
  • PhD degree completion required
  • No explicit nationality, residency, or age restrictions mentioned
  • No prior experience caps mentioned

Funding & terms

Type
Salaried
Amount
€3.8k–€4.9k/mo
Duration
1 year (fixed-term)
Programme
Naturalis Fellowship program
Naturalis Biodiversity Center

How to apply

Deadline: 2026-11-22

Applicants must submit a single PDF containing their CV, motivation letter, contact details of two referees, and a link to their public code repository via the application portal. For inquiries, contact the supervisors directly via email.

Documents required
  • CV
  • Motivation letter
  • Contact details of two referees
  • Link to public code repository (e.g., GitHub)
↗Apply on site

Contact

Angelica Cibrian Jaramillo / Paola De Lima Ferreira· Supervisors

angelica.cibrianjaramillo@naturalis.nl, paola.delimaferreira@naturalis.nl

Lab
Tropical Botany (collaborating with Data Competence Center and Application Development & Management)
Naturalis Biodiversity Center
Naturalis Fellowship programNetherlands
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