Jobs

4-years contract

The COSMIC project (COntinuouS MICrogesture acquisition and sensing for natural interaction) aims to develop methods for the continuous detection and recognition of subtle finger and hand microgestures in realistic environments. 

You will focus on radar and LiDAR sensing for continuous microgesture detection and recognition, combining experimental measurements, signal processing, physical modelling and data analysis.

Required qualifications and skills

- MSc degree in engineering, bioengineering, computer science, robotics, physics, or another relevant scientific field;

- Strong background in signal processing, mathematics and programming;

- Interest in radar, LiDAR, inverse problems and/or machine learning;

- Experience with Python, MATLAB and/or C/C++ is an asset;

- Interest in multidisciplinary research combining sensing and human–computer interaction;

- Good written and spoken English, autonomy, creativity and enthusiasm for research. 

Starting date: as soon as possible

Apply before: apply as soon as possible, the job position is open until filled

See the full offer and apply 

Fixed-term contract: 18 months

The transnational MUDCAP project (“Muddy flood mitigation through transnational action-oriented capacity building”) aims to strengthen prevention and resilience against muddy floods in vulnerable areas of northwestern Europe.

As part of this project, the successful candidate will be tasked with developing decision support tools at the regional and local levels to assess the risk of public or private infrastructure being exposed to muddy floods. 

The approach will include the analysis of geospatial databases (e.g., soil, land use), earth observation data (e.g. Sentinel 2) and the use of machine learning tools.

Required qualifications and skills

- A university graduate (Master’s degree in Bioscience engineering in environmental or agricultural Sciences, Agricultural Engineer, or equivalent);

- Dynamic, with a proven aptitude for research (as demonstrated in, e.g., a Master’s thesis);

- Skills in the fields of hydrology, water and soil conservation, geographic information systems, and remote sensing;

- Skills in data analysis (ideally including geospatial data) and programming (R, Python, etc.); 

- Oral and written communication skills in English;

- Interpersonal skills, ability to work in a team, and initiative.

Starting date: October 2026

Apply before: 15/09/2026

See the full offer and apply 

Fixed-term, full-time (100%), 2 years contract.

Antarctic sea ice extent has shown major changes over the past decades, with a slight increase between 1979 and 2015 followed by an abrupt decrease and low values since then. However, the contribution of the multidecadal variability in the Southern Ocean to these recent changes is still unknow. To reduce the uncertainty on this contribution, the goal of the project, funded by Belgian Fonds de la Recherche Scientifique (FNRS), is to reconstruct the evolution of the sea ice extent over the past 200 years and to identify the mechanisms responsible for this variability. 

Job description

- Evaluate existing sea ice reconstructions using different datasets, including historical records coming from different sources.

- Perform a new large-scale reconstruction of the state of the atmosphere, ocean and sea ice over the past 200 years combining long instrumental data and paleoclimate proxy records.

- Estimate the origin of the differences between existing reconstructions due to methodology and the choice of the observations.

- Describe the mechanisms at the origin of the most robust characteristics of the reconstructions. 

Required qualifications and skills

- To have a PhD in climatology, oceanography or related field; 
- To have experience in numerical modelling, climate reconstructions or data analysis; 
- To have published in peer-reviewed international journals;
- To have demonstrated good verbal and written communication skills in English;
- To have interest in working in a multidisciplinary, international team environment.
- Experience in sea ice or polar climate is an asset.

Starting date: December 2026

Apply before: 14/09/2026

See the full offer and apply 

3 years contract

Project descriptions

You will contribute to two complementary projects at UCLouvain: "do Pasto ao Prato" and DOMESTIC.

- "do Pasto ao Prato" is an open-data initiative that aims to transform the sustainability of the meat industry in Brazil by radically increasing transparency in the supply chain regarding the impacts and relationships between companies that are currently obscured by a lack of available information.

- The DOMESTIC project aims to map food flows within the Brazilian food system, revealing how cities are fed, how the food consumption footprint varies across products and populations, and how public policy levers can address food security and sustainability goals.

Job description

- You will analyse data on livestock supply chains in Brazil, tracking products through to retail outlets across the country, and generating data and insights that promote sustainability in Brazil’s livestock sector. 

- Your work will be incorporated into reports for the general public and businesses, disseminated via the media and project partners, as well as in scientific articles.

Required qualifications and skills

- We are looking for curious, kind and motivated individuals with a PhD in geography, sustainability studies, economics, environmental sciences, land-use systems, data science, sustainable business, or other related fields.

- Outstanding candidates with a master’s degree will be considered for a PhD position, but must have relevant experience in civil society, government or the private sector, as well as demonstrating the ability to work independently and handle data. 

- Our data processing is largely carried out using R, Google Earth Engine and BigQuery, but there are opportunities to develop other software for data workflows. 

- Fluency in Portuguese is a strong advantage for this role.

Starting date: December 2026 or ASAP

Apply before: 02/09/2026

See the full offer (in Portuguese) and apply

Fixed-term, full-time (100%), 3-years contract. 

The EU Horizon Europe-funded project SYNCHRONY will establish a coordinated, internationally synchronized observatory across the Southern Ocean and Antarctic continental shelves to monitor rapid changes in the ocean–ice–atmosphere system and their impacts on climate and biodiversity. 

The successful candidate will:

- Analyze satellite observations, reanalysis data and climate model output to characterize the spatiotemporal variability of Southern Ocean sea ice thickness, on seasonal to interannual time scales;

- Develop innovative approaches to guide strategies for optimal temporal and spatial distribution of sea ice measurements in the Southern Ocean;

- Participate to the analysis of CMIP7 sea ice analyses in the Southern Ocean;

- Study sea ice thickness co-variability with ocean heat content, freshwater content and interpret recent changes in the coupled ocean-sea ice system.

Required qualifications and skills:

The successful candidate should

- hold a PhD thesis in climatology, oceanography, engineering, Earth science, or related field;

- be familiar with the analysis of large geophysical datasets;

- have published in peer-reviewed international journals;

- have experience in machine learning, numerical modelling or data science;

- demonstrate verbal and written communication skills in English;

- demonstrate autonomy, reliability, sense of initiative and proactivity.

Starting date: 01/10/2026 

Apply before: 31/08/2026

See the full offer and apply