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Added 2 days ago
UO
Student Financial Management Analyst
University of British Columbia
Vancouver, BC · UBCV | Brock Hall (BRCK)
- $7,158.42 to $10,292.25 CAD / month
- Full-time
…Director, Student Financial Management. The incumbent in this position works independently or in collaboration with the Director, Associate Directors, and Analysts of Student Financial…
Added 2 days ago
PH
Child and Adolescent Mental Health Post-Doctoral Fellowship, Child & Adolescent Mental Health Programs - BC Children’s Hospital & University of British Columbia
Provincial Health Services Authority
Vancouver, BC
- Full-time
Added 2 days ago
UO
Sessional Lecturer - PHL237H5 S - Introduction to East Asian Philosophy
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL355H5 S - Issues in Philosophy of Science
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL3605H5 S - Philosophy of Artificial Intelligence
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL370H5 S - Issues in Philosophy of Law
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL302H5 S - The Philosophy of Aristotle
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL366H5 S - The Ethics of Borders and Immigration
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL245H5 S - Modern Symbolic Logic - LEC0101 - In Person
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL241H5 S - Ethics of Artificial Intelligence
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL274H5 S - Ethics and Society
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 8 days ago
UO
Sessional Lecturer - PHL245H5 S - Modern Symbolic Logic - LEC0102 - Hybrid
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL245H5 S - Modern Symbolic Logic - LEC0102 - Hybrid
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL245H5 S - Modern Symbolic Logic - LEC0101 - In Person
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL3605H5 S - Philosophy of Artificial Intelligence
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL370H5 S - Issues in Philosophy of Law
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL366H5 S - The Ethics of Borders and Immigration
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL237H5 S - Introduction to East Asian Philosophy
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL274H5 S - Ethics and Society
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL355H5 S - Issues in Philosophy of Science
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL302H5 S - The Philosophy of Aristotle
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 9 days ago
Sessional Lecturer - PHL241H5 S - Ethics of Artificial Intelligence
University of Toronto
Mississauga, ON
The following position for a Sessional Lecturer is available in the Department of Philosophy for the Spring 2027 academic session. This is a posting in accordance with the Collective…
Added 10 days ago
Research Analyst - Brain Health Imaging Centre
CAMH
Toronto, ON
We are seeking a full-time, contact (12 months) Research Analyst who supports working in coordination with BHIC radiochemists, radiochemistry personnel, and laboratory trainees. The…
Added 10 days ago
UL
Canada Impact+ Emerging Leader Professor in Computational Design and Engineering of Proteins
Université Laval
Quebec, QC
- Full-time
Hold a Ph.D. relevant to the research field covered by this position and preferably have between two and five years of experience as a postdoctoral researcher or assistant professor (or…
Added 12 days ago
IE
POSTDOCTORAL POSITION - 12 MONTHS
INRAE Ecosys
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
…ECOSYS are looking for a motivated candidate for a 12-month postdoctoral position on the mapping of agricultural organic nitrogen sources across France, at the interface between remote…

INRAE Ecosys

POSTDOCTORAL POSITION - 12 MONTHS

Montreal, QC, Canada
Urban agglomeration of Montreal, QC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 14, 2026
Posting language: English · French
Posted: Sep 22, 2026

Original job description

English section of this bilingual listing.

Scientific background

Organic fertilisation from livestock manure is one of the main sources of diffuse nitrogen in France, with roughly 300 million tonnes of manure produced each year. It is also one of the practices promoted to increase carbon storage in agricultural soils. Any spatially explicit mapping of organic fertilisation pressure first requires an accurate localisation of the sources - livestock buildings and facilities - combined with a quantitative estimate of the manure produced at each site.

The French national livestock identification database (BDNI), updated quarterly and coupled with the Land Parcel Identification System (RPG), already provides the location of farms and their animal numbers, but says nothing about the physical structures housing the animals and storing the manure. Recent work has demonstrated that agricultural facilities can be detected from satellite imagery using deep learning (de Senneville et al., 2025), an approach that can be transferred to livestock buildings. The BDNIÅ~RPG coupling can therefore serve as a georeferenced training set.

The project further aims to add a temporal dimension: the cattle production cycle - alternating between winter housing and summer grazing - strongly changes where and when nitrogen is excreted. The ultimate goal is to identify spatial concentrations (hotspots) and periods of peak production (hotmoments) of reactive nitrogen, and to assess how these match areas of potential NH₃ emission.

This spatially explicit quantification of the available organic residual products (ORP) also opens a second line of enquiry: the carbon storage potential of agricultural soils. The localised manure volumes determine where, when and in what quantities organic inputs can be applied to fields. The resulting maps will therefore make it possible to weigh the expected benefit for soil carbon storage against the associated nitrogen losses, and to inform tradeoffs between these two objectives at the territorial scale.

Tasks

Build a georeferenced training set from the BDNIÅ~RPG coupling, focusing on the cattle sector (the best covered by the BDNI), and use it to train a deep-learning object detector identifying cattle buildings and their associated structures;
Develop and validate a model linking the characteristics of the detected structures (built area, number of buildings, annexes) to the likely herd size expressed in livestock units (LU);
Reconstruct annual herd dynamics per site and approximate the grazing/housing cycle using a satellite proxy;
Produce a spatio-temporal map of organic manure production and identify hotspots and hotmoments;
Disseminate results through publications in peer-reviewed journals and presentations at national and international conferences.

Profile

PhD in remote sensing, geomatics, data science, agronomy, environmental science or a related field (obtained, or to be obtained by the starting date);
Solid practice of geospatial data processing and GIS;
Familiarity with livestock systems, nitrogen biogeochemical cycles or French agricultural databases (BDNI, RPG) is an appreciated asset;
Documented experience in scientific writing and publication in peer-reviewed journals;
Autonomy, a taste for interdisciplinary work and the ambition to pursue a scientific career;
Good communication skills in English; knowledge of French is an asset but is not required.

How to apply

Applications should be sent by email to Raia Silvia Massad (raia-silvia.massad@inrae.fr), Bertrand Guenet (guenet@geologie.ens.fr) and Marco Carozzi (marco.carozzi@inrae.fr) before 15 September 2026.
Your application should include a motivation letter, a detailed academic CV (with publication list) and the contact details of two referees.
The selection committee will review applications as soon as the call closes; shortlisted candidates will be invited for an interview.
You will be based at the UMR ECOSYS, on the AgroParisTech campus (22 place de l'Agronomie, 91120 Palaiseau, France).

Scientific background

Tasks

Build a georeferenced training set from the BDNIÅ~RPG coupling, focusing on the cattle sector (the best covered by the BDNI), and use it to train a deep-learning object detector identifying cattle buildings and their associated structures;
Develop and validate a model linking the characteristics of the detected structures (built area, number of buildings, annexes) to the likely herd size expressed in livestock units (LU);
Reconstruct annual herd dynamics per site and approximate the grazing/housing cycle using a satellite proxy;
Produce a spatio-temporal map of organic manure production and identify hotspots and hotmoments;
Disseminate results through publications in peer-reviewed journals and presentations at national and international conferences.

Profile

PhD in remote sensing, geomatics, data science, agronomy, environmental science or a related field (obtained, or to be obtained by the starting date);
Solid practice of geospatial data processing and GIS;
Familiarity with livestock systems, nitrogen biogeochemical cycles or French agricultural databases (BDNI, RPG) is an appreciated asset;
Documented experience in scientific writing and publication in peer-reviewed journals;
Autonomy, a taste for interdisciplinary work and the ambition to pursue a scientific career;
Good communication skills in English; knowledge of French is an asset but is not required.

How to apply

Applications should be sent by email to Raia Silvia Massad (raia-silvia.massad@inrae.fr), Bertrand Guenet (guenet@geologie.ens.fr) and Marco Carozzi (marco.carozzi@inrae.fr) before 15 September 2026.
Your application should include a motivation letter, a detailed academic CV (with publication list) and the contact details of two referees.
The selection committee will review applications as soon as the call closes; shortlisted candidates will be invited for an interview.
You will be based at the UMR ECOSYS, on the AgroParisTech campus (22 place de l'Agronomie, 91120 Palaiseau, France).

Read the full bilingual original

The French convergence institute CLAND (Climate change and land use) and its partner research unit ECOSYS are looking for a motivated candidate for a 12-month postdoctoral position on the mapping of agricultural organic nitrogen sources across France, at the interface between remote sensing, deep learning and agri-environmental sciences.

Scientific background

Organic fertilisation from livestock manure is one of the main sources of diffuse nitrogen in France, with roughly 300 million tonnes of manure produced each year. It is also one of the practices promoted to increase carbon storage in agricultural soils. Any spatially explicit mapping of organic fertilisation pressure first requires an accurate localisation of the sources - livestock buildings and facilities - combined with a quantitative estimate of the manure produced at each site.

The French national livestock identification database (BDNI), updated quarterly and coupled with the Land Parcel Identification System (RPG), already provides the location of farms and their animal numbers, but says nothing about the physical structures housing the animals and storing the manure. Recent work has demonstrated that agricultural facilities can be detected from satellite imagery using deep learning (de Senneville et al., 2025), an approach that can be transferred to livestock buildings. The BDNIÅ~RPG coupling can therefore serve as a georeferenced training set.

The project further aims to add a temporal dimension: the cattle production cycle - alternating between winter housing and summer grazing - strongly changes where and when nitrogen is excreted. The ultimate goal is to identify spatial concentrations (hotspots) and periods of peak production (hotmoments) of reactive nitrogen, and to assess how these match areas of potential NH₃ emission.

This spatially explicit quantification of the available organic residual products (ORP) also opens a second line of enquiry: the carbon storage potential of agricultural soils. The localised manure volumes determine where, when and in what quantities organic inputs can be applied to fields. The resulting maps will therefore make it possible to weigh the expected benefit for soil carbon storage against the associated nitrogen losses, and to inform tradeoffs between these two objectives at the territorial scale.

Tasks

Build a georeferenced training set from the BDNIÅ~RPG coupling, focusing on the cattle sector (the best covered by the BDNI), and use it to train a deep-learning object detector identifying cattle buildings and their associated structures;
Develop and validate a model linking the characteristics of the detected structures (built area, number of buildings, annexes) to the likely herd size expressed in livestock units (LU);
Reconstruct annual herd dynamics per site and approximate the grazing/housing cycle using a satellite proxy;
Produce a spatio-temporal map of organic manure production and identify hotspots and hotmoments;
Disseminate results through publications in peer-reviewed journals and presentations at national and international conferences.

Profile

PhD in remote sensing, geomatics, data science, agronomy, environmental science or a related field (obtained, or to be obtained by the starting date);
Solid practice of geospatial data processing and GIS;
Familiarity with livestock systems, nitrogen biogeochemical cycles or French agricultural databases (BDNI, RPG) is an appreciated asset;
Documented experience in scientific writing and publication in peer-reviewed journals;
Autonomy, a taste for interdisciplinary work and the ambition to pursue a scientific career;
Good communication skills in English; knowledge of French is an asset but is not required.

How to apply

Applications should be sent by email to Raia Silvia Massad (raia-silvia.massad@inrae.fr), Bertrand Guenet (guenet@geologie.ens.fr) and Marco Carozzi (marco.carozzi@inrae.fr) before 15 September 2026.
Your application should include a motivation letter, a detailed academic CV (with publication list) and the contact details of two referees.
The selection committee will review applications as soon as the call closes; shortlisted candidates will be invited for an interview.
You will be based at the UMR ECOSYS, on the AgroParisTech campus (22 place de l'Agronomie, 91120 Palaiseau, France).

Reference: de Senneville A. et al. (2025). Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection. arXiv:2507.18513.

The French convergence institute CLAND (Climate change and land use) and its partner research unit ECOSYS are looking for a motivated candidate for a 12-month postdoctoral position on the mapping of agricultural organic nitrogen sources across France, at the interface between remote sensing, deep learning and agri-environmental sciences.

Scientific background

Organic fertilisation from livestock manure is one of the main sources of diffuse nitrogen in France, with roughly 300 million tonnes of manure produced each year. It is also one of the practices promoted to increase carbon storage in agricultural soils. Any spatially explicit mapping of organic fertilisation pressure first requires an accurate localisation of the sources - livestock buildings and facilities - combined with a quantitative estimate of the manure produced at each site.

The French national livestock identification database (BDNI), updated quarterly and coupled with the Land Parcel Identification System (RPG), already provides the location of farms and their animal numbers, but says nothing about the physical structures housing the animals and storing the manure. Recent work has demonstrated that agricultural facilities can be detected from satellite imagery using deep learning (de Senneville et al., 2025), an approach that can be transferred to livestock buildings. The BDNIÅ~RPG coupling can therefore serve as a georeferenced training set.

The project further aims to add a temporal dimension: the cattle production cycle - alternating between winter housing and summer grazing - strongly changes where and when nitrogen is excreted. The ultimate goal is to identify spatial concentrations (hotspots) and periods of peak production (hotmoments) of reactive nitrogen, and to assess how these match areas of potential NH₃ emission.

This spatially explicit quantification of the available organic residual products (ORP) also opens a second line of enquiry: the carbon storage potential of agricultural soils. The localised manure volumes determine where, when and in what quantities organic inputs can be applied to fields. The resulting maps will therefore make it possible to weigh the expected benefit for soil carbon storage against the associated nitrogen losses, and to inform tradeoffs between these two objectives at the territorial scale.

Tasks

Build a georeferenced training set from the BDNIÅ~RPG coupling, focusing on the cattle sector (the best covered by the BDNI), and use it to train a deep-learning object detector identifying cattle buildings and their associated structures;
Develop and validate a model linking the characteristics of the detected structures (built area, number of buildings, annexes) to the likely herd size expressed in livestock units (LU);
Reconstruct annual herd dynamics per site and approximate the grazing/housing cycle using a satellite proxy;
Produce a spatio-temporal map of organic manure production and identify hotspots and hotmoments;
Disseminate results through publications in peer-reviewed journals and presentations at national and international conferences.

Profile

PhD in remote sensing, geomatics, data science, agronomy, environmental science or a related field (obtained, or to be obtained by the starting date);
Solid practice of geospatial data processing and GIS;
Familiarity with livestock systems, nitrogen biogeochemical cycles or French agricultural databases (BDNI, RPG) is an appreciated asset;
Documented experience in scientific writing and publication in peer-reviewed journals;
Autonomy, a taste for interdisciplinary work and the ambition to pursue a scientific career;
Good communication skills in English; knowledge of French is an asset but is not required.

How to apply

Applications should be sent by email to Raia Silvia Massad (raia-silvia.massad@inrae.fr), Bertrand Guenet (guenet@geologie.ens.fr) and Marco Carozzi (marco.carozzi@inrae.fr) before 15 September 2026.
Your application should include a motivation letter, a detailed academic CV (with publication list) and the contact details of two referees.
The selection committee will review applications as soon as the call closes; shortlisted candidates will be invited for an interview.
You will be based at the UMR ECOSYS, on the AgroParisTech campus (22 place de l'Agronomie, 91120 Palaiseau, France).

Reference: de Senneville A. et al. (2025). Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection. arXiv:2507.18513.

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INRAE

24, chemin de Borde Rouge –Auzeville – CS52627

31326 Castanet Tolosan cedex - France

Dernière mise à jour : Mai 2021

Apply About employer

More about this job

Responsibilities

Create a georeferenced training dataset and use deep learning to detect cattle buildings, estimate herd sizes, and reconstruct herd and grazing dynamics. Map manure production over space and time, identify nitrogen hotspots and peak periods, and disseminate findings through publications and conference presentations.

Requirements

A PhD in remote sensing, geomatics, data science, agronomy, environmental science, or a related field is required, along with strong geospatial data processing and GIS experience. Candidates should have peer-reviewed publication experience, scientific writing skills, autonomy, interdisciplinary interests, and good English communication skills; knowledge of French and familiarity with livestock systems, nitrogen cycles, or French agricultural databases are assets.

Skills

Remote Sensing
Geospatial Data Processing
GIS
Deep Learning
Object Detection
Satellite Imagery Analysis
Geospatial Modeling
Livestock Systems
Nitrogen Biogeochemical Cycles
Agricultural Data Analysis
Scientific Writing
Interdisciplinary Research
Data Validation
Spatial and Temporal Mapping

Visa sponsorship

Not detected in the job text

Hiring contact

Raia Silvia Massad

Hiring contact email

raia-silvia.massad@inrae.fr

Keywords

Remote Sensing
Deep Learning
Object Detection
Satellite Imagery
Geospatial Data
GIS
BDNI
Land Parcel Identification System
RPG
Cattle Buildings
Livestock Units
Herd Dynamics
Grazing Cycle
Manure Production
Organic Fertilisation
Reactive Nitrogen
Nitrogen Biogeochemical Cycles
Ammonia Emissions
Soil Carbon Storage
Organic Residual Products
Spatial and Temporal Mapping
Hotspot Analysis
Agricultural Systems
Georeferenced Training Data
Scientific Publications
Agri-Environmental Sciences

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