Fully Funded PhD Scholarship: Pesticides and Human Health - Denmark

🎓Fully Funded PhD Scholarship: Pesticides and Human Health – Denmark

âś… Apply by Apr 30, 2026

🏥 About the Project

The Section for Health Data Science and AI at the Department of Public Health, University of Copenhagen, invites applications for a 3-year Fully Funded PhD Scholarshipas part of the research project “Pesticides and Human Health.” The position is fully funded through a grant from the Novo Nordisk Foundation.

Start Date: September 1, 2026

🎯 Scholarship Overview

🎓
Project
Pesticides and Human Health
📍
Location
University of Copenhagen, Denmark
📚
Level
MSc Agriculture, economics, data science, or related discipline.

⏰
Deadline
30 April 2026

đź”— Research Project

Pesticides are widely used in agricultural production to combat unwanted insects and fungi around crops, thereby increasing output per acre. Humans are exposed to pesticides daily through both diet and the environment, including the air we breathe.

We still lack answers pertaining to the public health consequences of indirect pesticide exposurePregnant women are particularly vulnerable to environmental impacts, as exposure to toxic substances can be transferred to the unborn child via the placenta, potentially affecting fetal development.

This research project will investigate whether there is a causal relationship between indirect exposure to pesticides through the air and population health, focusing on:

  • Fertility
  • Pregnancy outcomes
  • Children’s health and education

đź“‹ Duties & Responsibilities

  • Co-author research papers with other project members
  • Develop independent research paper(s) within the scope of the project
  • Write an article-based PhD thesis
  • Attend PhD courses
  • Participate in workshops, seminars, and conferences
  • Teach and disseminate research
  • Visit another international research institution for at least half a year

âś… Qualifications

Required

RequirementDetails
EducationMaster’s degree in Economics, Data Science, or related discipline
InterestApplied statistics and causal inference
Domain InterestHealth and/or environmental economics/epidemiology
Data InterestData science and working with large datasets
SoftwareExperience with Python, Stata, R, or SAS
PersonalHighly motivated, independent, enthusiastic, collaborative

Eligibility Notes

  • Danish education: Must have a master’s degree covered by the collective agreement
  • International education: Must have a master’s degree equivalent to a Danish master’s degree (two years) or a bachelor’s degree with qualifications assessed at master’s level
  • If not meeting master’s level qualifications, may be eligible for the integrated MSc and PhD program (4+4)

🌍 Research Environment

The Section for Health Data Science and AI was launched in January 2025 as the newest branch at the Department of Public Health. The section brings together high-level, internationally recognized academics with a focus on big data analysis.

We offer:

  • Ambitious and international research environment
  • Seminars with high-profile international speakers
  • Regular internal research seminars
  • Network and training opportunities
  • Strong commitment to academic and social opportunities
  • Working language: English

đź’Ľ Salary & Benefits

  • Salary, pension, and terms of employment in accordance with the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State
  • Pension exemption available for international researchers (pension paid as salary)

📞 Contact Information

Assistant Professor Frederik Plesner Lyngse
đź“§ frederik.lyngse@sund.ku.dk

Information about recruitment process: HR-IFSV@adm.ku.dk

📝 How to Apply

Application Requirements

Your application including all attachments must be in English and submitted electronically.

Required Documents:

  1. Cover letter (max 2 pages)
    • Background and personal qualities
    • Research interest and motivation
    • Outline of research ideas for the position
  2. Short abstract of MSc thesis
  3. Curriculum vitae
    • Education, experience, language skills, and other relevant skills
  4. Original diplomas for Bachelor and Master
    • Transcript of records in original language
    • Authorized English translation if not in English or Danish
    • If not completed: certified copy of recent transcript or written statement
  5. Publication list (if relevant)
  6. Up to three reference letters (if available)
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