Sd-25023 Phd in Automated Freshwater Diatom Analysis Using Deep Learning

il y a 2 semaines

EschsurAlzette, Luxembourg Luxembourg Institute of Science and Technology (LIST) Temps plein

Description
**Up to 48 months contract - 14+22 (+12) | Belvaux**:
***:
**Are you passionate about research? So are we Come and join us**:
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

If you are eager to merge cutting-edge technology with ecological sciences, this position is for you

**How will you contribute?**:
Applicants should have a background in aquatic ecology and biomonitoring, or related fields, with experience in image acquisition, large dataset processing, and statistical analysis. A passion for interdisciplinary research that bridges AI-driven technology and environmental sciences is essential. This position offers an exciting opportunity to develop innovative cutting-edge tools for improving ecological monitoring, therefore addressing urgent societal needs for sustainable ecosystem management.

Within the recently funded project BIOINDIC-IA (funded by the FNR under the ANR programme), you will be mainly in charge of:

- Data assembly and curation: using a state-of-the-art image acquisition set-up, compile and curate high-quality image datasets of freshwater diatoms for training, validation, and performance improvement of deep learning-based workflows for diatoms species identification and trait quantification (e.g. size, deformation intensity).
- Benchmarking and validation: Compare automated approaches with traditional methods based on relevant case studies within regulatory frameworks (such as the European Water Framework Directive: WFD), which will be representative of various taxonomic and morphologic trait diversity levels (in terms of species richness, abundance, distribution,), the overall water class quality (good, bad and intermediate situations) but also the type of human pressures (eutrophication, habitat degradation, contamination by specific chemicals, etc).
- Develop innovative biomonitoring tools: Identify the most efficient combination of machine learning-based taxonomic and morphological metrics able to distinguish among different categories of pressure (e.g., nutrient contamination, pesticide pollution or habitat degradation).

***:
**Is Your profile described below? Are you our future**:
**Education**:

- You hold a MSc or equivalent in Biology, Environmental Science, or a related discipline.

**Language skills**
- Good level of both written and spoken English; knowledge of spoken French is a plus as to interact with the French-speaking community of end-users.

**Experience and skills**
- Solid background in freshwater ecology and biomonitoring, background in diatom ecology and taxonomy is a plus
- Good skills and interests in statistical analyses with good programming skills (R, Python or similar)
- Basic knowledge in machine learning and willingness to improve their skills in this field
- You are self-motivated but like working in a team, explaining and presenting research ideas and results in a strong interdisciplinary context (ecology, computer vision, machine learning experts) but also a non-scientific audience (end-users)
- Class B driving license

**Your LIST benefits**:

- An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
- Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
- Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
- An environment encouraging curiosity, innovation and entrepreneurship in all areas
- Personalized learning programme to foster our staff’s soft and technical skills
- Multicultural and international work environment with more than 50 nationalities represented in our workforce
- Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
- Gender-friendly environment with multiple actions to attract, develop and retain women in science
- 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
- Flexible working hours, home working policy and access to lunch vouchers
- A motivation letter oriented towards the position and detailing your experience
- A scientific CV with contact details
- Contact details of 2 references

**Application procedure and conditions**

We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.

LIST is dedicated to maintaining an inclusive work environment and is a

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