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Postdoctoral Researcher in Neuromodulation of Feeding
KU Leuven

Postdoctoral Researcher in Neuromodulation of Feeding

2026-12-31 (Europe/Brussels)
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Sobre el empleador

KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.

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The nervous systems of animals utilize a wide variety of chemicals for neuronal communication, including small molecule neurotransmitters and neuropeptides. Neuropeptides are by far the most diverse signalling molecules, controlling a range of essential physiological processes including feeding, metabolism, sleep, stress, reproduction, development and locomotion. The Zandawala Lab is interested in understanding how neuropeptides mediate these effects in Drosophila melanogaster as well as other arthropods. We utilize multiple approaches including standard molecular and anatomical techniques, CRISPR/Cas9, Drosophila genetics, behavioral analyses, optogenetics, calcium imaging, single-cell transcriptomics and connectomics.
Recent work from the lab
- Savas et al. (2026) Nature communications: Feeding decision-making by a single neuron via disparate neurotransmitters: https://www.nature.com/articles/s41467-026-69443-8
- Gera et al. (2025) eLife: Anti-diuretic hormone ITP signals via a guanylate cyclase receptor - Reinhard et al. (2024) Nature communications: Synaptic connectome of the Drosophila circadian clock: https://www.nature.com/articles/s41467-024-54694-0
- McKim et al. (2024) eLife: Synaptic connectome of a neurosecretory network in the Drosophila brain: https://elifesciences.org/reviewed-preprints/102684
Website unit

Responsibilities

- Perform independent wet bench and/or computational research in the framework of the project
- Supervise PhD and master students
- Present project results at local, national and international meetings
- Take a lead on writing scientific papers
- Assist in writing research projects and grant applications

Profile

- You have (or will have by the time of appointment) a PhD in Neuroscience, Bioinformatics, Molecular Genetics or a related discipline.
- You have a strong publication record to apply for postdoctoral fellowships such as MSCA or EMBO.
- You have (basic) expertise in bioinformatics/computational biology, and you are willing to expand that skill.
- Previous experience with Drosophila (or other arthropods) is required.

Offer

- Competitive postdoctoral salary, including healthcare and other benefits.
- The position is for 1 year, and can be extended to up to 4 years following positive evaluation. The candidate is expected to apply for competitive postdoctoral fellowships during this period.
- A dynamic and international research environment at one of Europe’s leading research universities.

More information

Lab website

Interested?

For more information please contact Prof. dr. Meet Zandawala, mail: [email protected].

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.

DESCRIPCIÓN DEL PUESTO

Título
Postdoctoral Researcher in Neuromodulation of Feeding
Empleador
Ubicación
Oude Markt 13 Lovaina, Bélgica
Publicado
2026-05-27
Fecha límite de aplicación
2026-12-31 23:59 (Europe/Brussels)
2026-12-31 23:59 (CET)
Tipo de trabajo
Guardar trabajo

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Sobre el empleador

KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.

Visita la página del empleador