AI for Cumulative Impact Assessment
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Abstract
The Estonian Maritime Academy, TalTech is inviting applications for a fully funded PhD position in the field of Artificial Intelligence (AI) applied to Cumulative Impact Assessment. The position is part of an interdisciplinary research initiative aimed at developing AI-driven methodologies to extract and analyze impact information from scientific publications, with a particular focus on environmental and marine sciences.
| Research field: |
Maritime studies |
|---|---|
| Supervisor: |
Jonne Kotta |
| Availability: | This position is available. |
| Offered by: |
School of Engineering Estonian Maritime Academy |
| Application deadline: | Applications are accepted between June 01, 2025 00:00 and June 30, 2025 23:59 (Europe/Zurich) |
Description
Position Overview
The selected candidate will develop a multi-modal AI model to process and extract structured impact information from scientific literature. This research will integrate Natural Language Processing with environmental science data to enhance decision-making processes in habitat restoration and ecological assessments.
Key Responsibilities
- Develop and implement multi-modal AI models combining text, images, and tabular data from scientific publications.
- Design NLP-based pipelines for extracting and structuring impact-related information.
- Collaborate with domain experts in marine science to ensure AI models capture relevant ecological and environmental indicators.
- Publish research findings in top-tier conferences and journals.
- Engage in interdisciplinary collaboration within TalTech and external research partners.
Qualifications
The ideal candidate should have:
- A Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Strong knowledge of AI, NLP, and Machine Learning methodologies.
- Experience in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Proficiency in Python and relevant NLP/ML libraries (Hugging Face Transformers, spaCy, Scikit-learn, etc.).
- Experience with information extraction, scientific text processing, or multimodal AI techniques.
- A background in Marine Science or Environmental Science is a strong plus.
- Excellent analytical, problem-solving, and communication skills.
What We Offer
- A fully funded PhD position for four years.
- A dynamic research environment with access to state-of-the-art computational resources.
- Collaboration with leading experts in AI, NLP, and Marine Science.
- Opportunities for international research exchange and conference participation.
Application Process
To apply, please submit the following:
- A cover letter detailing your research interests and qualifications.
- A CV, including publications (if any).
- Copies of academic transcripts and degrees.
- Contact details for two academic references.
Application Deadline: 30.06.2025
Expected Start Date: 01.09.2025
For inquiries, please contact Prof. Jonne Kotta at jonne.kotta@taltech.ee.
We look forward to receiving your application!