PhD Student in Machine Learning: RISE Research Institutes of Sweden is seeking a highly motivated PhD student in machine learning to contribute to a greener future. This position offers the opportunity to grow as a researcher in an environment focused on innovation, societal impact, and sustainability, working alongside experienced colleagues in AI and machine learning with a focus on climate adaptation.
Designation:
PhD Student
Research Area:
Earth Observation and Multisource Data Analysis, Machine Learning, Deep Learning, Climate Adaptation
Location:
Lund, Sweden
Eligibility/Qualification:
- A Master’s degree in a relevant field such as engineering physics, applied mathematics, computer science, or remote sensing.
- Coursework in AI, machine learning, and image analysis.
- Excellent communication skills in English, both written and spoken.
Meritorious qualifications:
- Ability to communicate in Swedish.
- Research experience and scientific publications in relevant fields.
- Experience with AI-focused projects, preferably with code available on platforms like GitHub.
- Coursework or experience in GIS, remote sensing, or similar areas.
Job Description:
- Independently conduct research within the scope of the doctoral project.
- Communicate and coordinate with external stakeholders and project partners.
- Take courses relevant to the project’s research focus.
- Develop algorithms and write code (typically in Python, using frameworks such as PyTorch) for training and evaluating machine learning models.
- Write scientific articles for publication in journals and conferences.
- Present research at academic conferences, workshops, and other relevant events.
- Participate in meetings with a wide range of stakeholders.
- Write and present licentiate and doctoral theses.
- Contribute to internal meetings within the research group, unit, and department.
How to Apply:
Interested candidates should apply through the RISE application portal. The application requires answering specific questions related to your skills and experience. A personal letter is not requested. You will need to provide:
- Information on your interest in the position and RISE.
- Details on how you can contribute to the role based on your skills and experience.
- The field of your master’s degree.
- Your average grade from your master’s degree.
- Your experience with deep learning frameworks (PyTorch, TensorFlow/Keras, JAX, etc.).
- Your level of familiarity or experience with geospatial data.
- Information on prior research experience and scientific publications.
- Personal information (First name, Last name, Email, Phone)
- CV
Last Date for Apply:
June 18, 2025
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