PhD Monitor
/Detail
Quantitative Biology● OpenPreview

International Max Planck Research School for Quantitative Behaviour, Ecology and Evolution (IMPRS-QBEE)

A structured PhD programme at the intersection of animal behaviour, ecology, evolution, physiology, and neurobiology.

Best for:Best for ambitious early-career researchers passionate about quantitative biology, with interests in animal behaviour, ecology, evolution, physiology, or neurobiology, and a strong quantitative or experimental research background.

University of Konstanz · Konstanz (with fieldwork in Radolfzell am Bodensee), Germany · R1 · First-stage researcher
More professors at University of Konstanz
Animal behaviourEcologyEvolutionary biologyPhysiologyNeurobiologyQuantitative methods in biology
Deadline
—
Funding
Scholarship
Full financial support (exact amount not specified but typically includes tuition waiver and living stipend)
Start date
Flexible (upon selection and acceptance)
Full-time
Location
Konstanz (with fieldwork in Radolfzell am Bodensee)
Germany

Overview

The International Max Planck Research School for Quantitative Behaviour, Ecology and Evolution (IMPRS-QBEE) is a collaborative doctoral programme between the Max Planck Institute of Animal Behaviour and the University of Konstanz. Launched in 2022, it offers outstanding doctoral students a multidisciplinary environment to explore fundamental questions in quantitative biology, from molecular to societal scales. Research spans theoretical and experimental approaches, integrating lab and fieldwork with cutting-edge technologies. The programme provides structured training, mentorship, career support, and full financial coverage for selected candidates.

Quantitative biologyAnimal behaviour researchEcological evolutionNeurobiologyExperimental and theoretical approachesMax Planck Research SchoolPhD programmeStructured doctoral training

What you'll do

  • Conduct independent but supervised research within the broad fields of animal behaviour, ecology, evolution, physiology, or neurobiology.
  • Develop and implement experimental or theoretical research projects, combining field and laboratory work.
  • Participate in structured training programmes, including courses, seminars, and workshops on quantitative methods and research skills.
  • Collaborate with interdisciplinary research groups and contribute to the broader scientific community through presentations and publications.
  • Engage in mentorship and career development activities, including participation in the Thesis Advisory Committee (TAC) and mentoring programmes.
  • Present research findings at conferences and symposia, both nationally and internationally.

Requirements

Degree required: Master’s degree (or equivalent) in Biology, Ecology, Evolutionary Biology, Neuroscience, or a related quantitative discipline.

Degree offered: PhD

Language: English; proficiency at a level suitable for academic research and daily communication (no formal test score required but implied).

Instruction: English

Required skills
  • Strong quantitative or analytical skills, including proficiency in statistical methods and computational tools.
  • Experience with experimental design and data collection in field or laboratory settings.
  • Excellent written and oral communication skills in English.
  • Ability to work independently and collaboratively in an interdisciplinary environment.
Nice to have
Experience with emerging technologies such as genomics, bioinformatics, or advanced imaging techniques.Prior research experience in animal behaviour, ecology, or neurobiology.Familiarity with quantitative modelling or computational approaches.
Eligibility
  • Open to outstanding international applicants from around the world.
  • No specific nationality restrictions.
  • Applicants must participate in the annual selection symposium in Konstanz to be considered.

Funding & terms

Type
Scholarship
Amount
Full financial support (exact amount not specified but typically includes tuition waiver and living stipend)
Duration
3 years (standard PhD duration, extendable under exceptional circumstances)
Programme
Max Planck Society funding scheme (via IMPRS-QBEE)
Max Planck Society & University of Konstanz

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: Annual selection symposium (exact date not specified; typically held in early spring)

Applicants must first participate in the annual selection symposium held in Konstanz. After the symposium, selected candidates will receive an invitation to apply formally for the programme. The application process includes submitting academic transcripts, a research proposal, letters of recommendation, and proof of English proficiency if required.

Documents required
  • Academic transcripts and degree certificates
  • Curriculum Vitae (CV)
  • Research proposal outlining the intended PhD project
  • Letters of recommendation (typically 2-3)
  • Proof of English proficiency (if not a native speaker, though not explicitly stated)
  • Participation confirmation from the annual selection symposium
↗Check programme and admissions

Contact

IMPRS-QBEE Office· Programme Coordinator

https://www.ab.mpg.de/imprs-qbee

NS
Prof.
Nicola Seddon
Department of Biology
Lab
Max Planck Institute of Animal Behaviour (MPI-AB) & University of Konstanz
University of Konstanz
Max Planck Society funding scheme (via IMPRS-QBEE)Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.