lundi 1 juin 2026

Job proposal

 

We're hiring a research assistant for a project looking at urban environmental effects on (social) learning and social behaviour in great and blue tits.

Where: The position is based in Rennes, and is funded from the 7th of Sept 2026 until the 30th of June 2027.

More information here: https://sdrive.cnrs.fr/s/SE4HjLFBp8XoaZM

How to apply: send a single document containing (1) a cover letter, (2) your CV, (3) a copy of your master’s degree, and (4) your master’s degree grades to Camille Troisi (camille.troisi@univ-rennes.fr)

Deadline to apply is the 28th of June.

For any questions, please email Camille Troisi (Camille.troisi@univ-rennes.fr)

mercredi 27 mai 2026

Offre de stage

Titre du projet : Comment s’échapper d’un labyrinthe ? Étude de
stratégies collectives de groupes animaux dans des environnement
complexes.
Cet appel est soutenu par le projet MITI Emergence of Collective Motion in Biological Inter-
mittent Systems (ECOMBIS).
Le mouvement collectif chez les animaux est un phénomène largement répandu dans la na-
ture, observable à différentes échelles. Un aspect clé des groupes d’animaux en mouvement
est que les individus communiquent afin de se déplacer ou de s’arrêter collectivement. Dans
certains systèmes, cette communication s’effectue entre individus ayant des rôles hiérar-
chiques différents, par exemple des leaders et des suiveurs. L’effet de ces structures hiérar-
chiques sur le mouvement collectif, en particulier dans des environnements complexes, reste
encore inconnu.
Dans ce projet, nous proposons de combler cette lacune en étudiant le mouvement collectif de
groupes de moutons dans un environnement complexe bien défini : un labyrinthe. Pour cela,
nous utiliserons des groupes de taille allant de N = 2 à N = 30 moutons. Le protocole consiste-
ra à placer le groupe au centre du labyrinthe et à étudier : i) le temps nécessaire pour sortir du
labyrinthe, ii) la dynamique du groupe pendant la sortie, iii) l’effet de la présence d’un (ou
plusieurs) leader(s) entraîné(s) connaissant la sortie. Nous étudierons également l’effet de la
structure du labyrinthe en utilisant différents types de labyrinthes, allant de « simples » à « dif-
ficiles » (caractérisés par leurs propriétés statistiques).
Les expériences seront réalisées au Domaine du Merle (Institut Agro Montpellier, Salon-de-
Provence). Cette étude comportementale se concentrera principalement sur l’acquisition de
données de position individuelles au cours du temps (position, orientation et vitesse), obte-
nues via des systèmes GNSS (Global Navigation Satellite Systems).
Mots-clés : mouvement collectif, stratégies collectives, interactions leader-suiveur, biophy-
sique.
Lieu : Domaine du Merle, 13300 Salon-de-Provence, sud de la France.
Période : octobre à décembre 2026.
Environnement : Les frais de déplacement et de séjour sur le terrain se-ront pris en
charge par le laboratoire d'accueil. Les dépenses personnelles d'alimentation resteront à la
charge du candidat.
Profil recherché : Candidat ayant une formation en éthologie ou en comportement animal
(idéalement niveau master), intéressé par le suivi numérique du comportement animal (outils
et méthodologies), ou candidat issu de l’électronique, de l’informatique, de la physique ou de
l’analyse de données souhaitant appliquer ses compétences à l’étude du comportement ani-
mal.
Le candidat travaillera dans une station expérimentale agricole, où il/elle sera formé(e) par
des bergers professionnels à la gestion des moutons en bergerie et en plein air. Il/elle sera éga-
lement responsable du soin des animaux impliqués dans les expériences, ce qui nécessite un
engagement important toute la semaine, y compris le week-end, et une collaboration étroite
avec le personnel.
Le candidat sera aussi chargé de l’enregistrement des données (GNSS) et des vidéos expéri-
mentales. Idéalement, il/elle participera au traitement et à la structuration des données afin
d’obtenir les positions et orientations des individus (non obligatoire).
Le travail implique des tâches physiquement exigeantes liées à la manipulation de moutons
adultes, ainsi qu’un travail en extérieur, souvent tôt le matin et parfois en soirée. Le travail de
terrain se fera en collaboration étroite avec un autre étudiant et occasionnellement avec des
professionnels. La capacité à travailler en équipe est essentielle.
Les candidats intéressés devront contacter :
Luis Gómez-Nava
luis.gomez@universite-paris-saclay.fr
https://sites.google.com/view/luisgomeznava/home
Richard Bon
richard.bon@univ-tlse3.fr
https://cbi-toulouse.fr/eng/page-personnelle-30
Fernando Peruani
fernando.peruani@cyu.fr
https://perso.u-cergy.fr/~pmperuani/

sujet de thèse

 Un projet de thèse démarrera en décembre à l’UMR PEGASE de Rennes, sur le lien entre le bien-être des truies et le bien-être des éleveurs.

Si vous êtes intéressés, les détails sont disponibles ici :

https://amethis.doctorat.org/amethis-client/prd/consulter/offre/3587


Il s’agit d’une thèse à la croisée de l’éthologie, la psychologie et la sociologie, en élevages commerciaux.

Date limite pour postuler : le 15 juin 2026.

mardi 26 mai 2026

PhD position: Collective and Ecological Dynamics of Savanna Herbivore Communities

 INTERDISCIPLINARY PHD POSITION

WildBotics DC9: Collective and Ecological Dynamics of Savanna Herbivore Communities

We seek candidates for a PhD position based in the Department of Biology and the Centre for the Advanced Study of Collective Behaviour at the University of Konstanz, Germany. The position is fully funded for 4 years, with a desired start date of September 1, 2026.

THE WILDBOTICS NETWORK

This PhD position is part of WildBotics, an EU-funded Marie Skłodowska-Curie Doctoral Network (MSCA-DN). The network brings together partner organizations across Europe and Africa to train 12 interdisciplinary Doctoral Candidates (DCs) who collaborate to develop effective and reusable robotics technologies and computational tools for biodiversity monitoring and nature conservation.

WildBotics is structured around three themes:

• Theme 1: Robot system design for nature conservation
• Theme 2: Autonomy, perception and AI for complex natural environments
• Theme 3: Analysis of large, sample-based datasets for wildlife ecology and biodiversity conservation

This position falls under Theme 3, although the successful candidate will also be expected to collaborate with students in Themes 1 and 2.

The candidate will participate in network-wide meetings, training events and field trips hosted by WildBotics partner organizations.

THE PROJECT (DC9)

The PhD candidate will conduct research combining field studies of individual and collective behavior of African elephants and/or mixed-species ungulate communities in Kenya with insights derived from fecal datasets.

The project provides substantial flexibility, allowing the candidate to shape the research direction according to focal species and behavioral questions of interest.

Close partnerships with the Kenya Wildlife Research and Training Institute (WRTI) and the Mara Elephant Project (MEP) provide opportunities for collaboration on topics including:

• Wildlife and livestock epidemiology
• African elephant conservation
• Community and ecosystem dynamics

The candidate will also collaborate with other WildBotics doctoral candidates (e.g. DC1 and DC3) to support development of aerial and terrestrial robotic systems for fecal sample collection in challenging field environments, including image datasets for detection of defecation events and fecal samples.

The project will be supervised by Prof. Dr. Iain Couzin in collaboration with Dr. Blair Costelloe.

WE OFFER

• Membership in the WildBotics Doctoral Network
• Integration into the interdisciplinary research community at the Centre for the Advanced Study of Collective Behavior at the University of Konstanz
• Access to the wider Max Planck Institute of Animal Behavior community
• Optional enrollment in the International Max Planck Research School for Quantitative Behavior, Ecology & Evolution (IMPRS-QBEE)
• Salary, research funding, training support, and participation in network events

YOUR QUALIFICATIONS

We seek a curious and motivated candidate with interests in:

• Animal behavioural ecology
• Collective dynamics
• Disease ecology
• Wildlife conservation
• Related disciplines

Candidates should demonstrate research potential through:

• MSc thesis work
• Publications
• Code repositories
• Conference presentations
• Outreach activities

Strong quantitative literacy, programming skills, and experience with large datasets are advantageous.

Candidates should be willing to:

• Conduct fieldwork independently in Kenya
• Travel to partner institutions for events and secondments

Additional advantageous experience:

• Ecological or behavioural fieldwork
• Computer vision
• Machine learning
• Statistical or ecological modelling
• Analysis of large behavioural datasets
• Biological sample collection or processing
• International or interdisciplinary research experience
• Valid driver's license

We do not expect candidates to meet all criteria and strongly encourage applications from candidates meeting only part of these qualifications.

ELIGIBILITY REQUIREMENTS

Candidates must satisfy MSCA-DN Early-Stage Researcher rules:

• No PhD degree
• Less than 4 years of full-time equivalent research experience after the qualifying degree

Candidates must also satisfy the MSCA mobility rule:

• Applicants cannot have spent more than 12 months during the previous 36 months residing or carrying out their primary activity in Germany.

The working language is English.

Required:
• Strong spoken and written English skills

Not required:
• German language proficiency

HOW TO APPLY

Send application materials to:

Katja Anderson
katja.anderson@uni-konstanz.de

Deadline: June 21, 2026

Subject line:
"WildBotics DC09 application"

Required documents:

1. Letter of motivation (max 3 pages)
2. CV or résumé
3. Academic transcripts/certificates
4. Scientific writing sample
5. Names and contact information of 2–3 references
6. Statement confirming compliance with the MSCA mobility rule

CONTACT

Prof. Dr. Iain Couzin
icouzin@ab.mpg.de

Dr. Blair Costelloe
blaircostelloe@gmail.com

mardi 19 mai 2026

Phd

Department of Evolutionary Biology
and Environmental Studies
UZH: PhD in Evolutionary Ecology
Inbreeding in a Wild Mammal System

Wild populations are increasingly exposed to demographic decline and fragmentation, making
inbreeding and its consequences a central problem in evolutionary biology and conservation. We
address this using one of the most comprehensive datasets available for any vertebrate population: a
longterm field study in Switzerland of more than 20,000 wild mice that vary naturally in degree of
inbreeding. We aim to quantify inbreeding effects on behaviour, reproductive output, survival and
morphology and relate these to genetic loci. The PhD project is embedded in a collaborative
framework with network scientists and evolutionary biologists at the University of Zurich and
at Columbia University.
We are seeking a highly motivated PhD student to join our research group at the University of Zurich
to examine the phenotypic and genetic consequences of inbreeding in a wild mammalian population.
Your responsibilities
• analyse large-scale phenotypic datasets (behaviour, life history, morphology)
• perform animal experiments on inbreeding
• develop and apply statistical models
• collaborate across disciplines (behavioural ecology, network science, genomics)
• contribute to high-quality publications
Your profile
• fascinated by fundamental questions in evolutionary biology
• MSc (or equivalent) in evolutionary biology, ecology, animal behaviour, or a related field
• training in quanOtaOve geneOcs and behavioural ecology
• evidence of analyOcal ability and scienOfic independence
• strong quanOtaOve skills, R programming, experience with large datasets
• project management, teamwork, scienOfic communicaOon and organisaOonal skills
What we offer
The University of Zurich provides an international, English-speaking research environment with
excellent infrastructure and strong interdisciplinary links. You will be embedded in an acOve and
collaboraOve research group with access to a unique long-term dataset and outstanding scienOfic
support. You will benefit from close collaboraOon with leading groups in network science and
genomics. We are commiSed to fostering an inclusive and respecTul working environment.
The position is funded for four years with a competitive salary. Zurich offers a very high quality of life
and a vibrant scientific community.
Start of employment
1 August 2026, or by agreement.
Please submit your application as a single PDF to Anna Lindholm (anna.lindholm@ieu.uzh.ch) by the
end of May 2026 including a letter of motivation, CV, academic transcripts, contact details of two
referees, and a copy of your MSc thesis, or if not completed, a short summary of it.

PhD opportunity - The role of learning in dealing with urban environments in great and blue tits

 We're hiring a PhD student on a project looking at urban environmental effects on (social) learning and social behaviour in great and blue tits. The position is based in Rennes, with a 1st of October 2026 start date.
More information here: https://sdrive.cnrs.fr/s/2HtQ8caBRdZD3FQ
To apply:https://amethis.doctorat.org/amethis-client/prd/consulter/offre/3185
Deadline to apply is the 28th of May.
For any questions, please email Cecilia Houdelier (Cecilia.houdelier@univ-rennes.fr) and Camille Troisi (Camille.troisi@univ-rennes.fr)