Internship Opportunity
Are you a master's student eager to apply your machine learning expertise to a cutting-edge real-world industry project? Join us for an exciting internship at PlanBlue GmbH, where you’ll contribute to the development of innovative solutions for marine environmental monitoring.
PlanBlue is on a mission to harness the critical role of the seafloor in addressing global challenges such as climate change, biodiversity loss, and food insecurity. Its cutting-edge technology integrates advanced imaging with AI-driven data processing, delivering automated seafloor intelligence that uncovers the seafloor’s true ecological and economic value at scale and at speed. Over the last seven years, we have built a dynamic, diverse team of engineers, business developers, data scientists, and marine experts, bringing together a mix of skills and expertise necessary to achieve our mission.
Hyperspectral imaging offers a novel way of seeing the world, capturing details beyond the capabilities of conventional cameras by simultaneously recording high-resolution spatial and spectral information. Hyperspectral imaging isn’t new.
It’s already proven a valuable technology in areas like agricultural crop monitoring and satellite-based detection of air pollution. However, applying hyperspectral imaging underwater is novel. PlanBlue has operationalized this technology underwater to assess the health of whatever lives on the seafloor, such as corals, algae and plants. However, we want to take the technology to the next level: differentiate species living on the seafloor based on hyperspectral data.
The aim of the project is to create an advanced proof-of-concept for performing classifications on hyperspectral data with the goal of differentiating, for instance, seagrass or coral species based on their spectral properties.
The student will have the following tasks:
Develop efficient methods for ingesting hyperspectral annotations provided by domain experts, transforming them into formats suitable for machine learning workflows;
Research and identify suitable model architectures for the classification of hyperspectral data;
Benchmark the performance of different models using appropriate metrics, highlighting strengths and limitations to guide future development efforts.
We are looking for a highly motivated student with the following qualifications:
Currently enrolled in a master’s program in computer science, computer engineering, geo-informatics, or a related field.
Strong background in machine learning.
Experience with spectral imaging and programming (in particular Python) is an advantage.
Interest in applying scientific research to real-world environmental challenges.
Bonus If You Bring
Experience working in a fast-paced startup environment.
Familiarity with agile methodologies.
The opportunity to work on a real-world environmental challenge with industry impact.
Access to cutting-edge technology and expert guidance.
A collaborative and innovative work environment.
Possibility of further collaboration beyond the thesis.
28 days of annual leave.
A bright, welcoming office near an awesome park, with free organic coffee, drinks, and fruits.
Free diving courses and access to fitness, yoga, and sports studios (Hansefit).
An opportunity to scale a mission-driven, impact-oriented company.
A diverse, international team that values collaboration and openness.
Professional growth through coaching, workshops, conferences, and international research projects.
Flexible working hours to support a healthy work-life balance.
We totally understand that, so are we! By joining us you can play an active role in changing the way the world views the ocean. Enthusiastic by the idea that your work will directly impact our products? Then we’d love to hear from you!
→ Research shows that while men apply to jobs if they meet ~60% of criteria, women and those in traditionally underrepresented groups tend to apply only if they check all the boxes. So, if you think you have what it takes but don't meet every single point above, please still get in touch. We'd love to have a chat and see if you could be a great fit.
→ We value the diversity of our colleagues. People with disabilities are currently underrepresented in our company. We want to change that. For this reason, we are part of the Inklupreneur project and strongly encourage people living with disabilities to apply. We have the facilities and flexibility. We will support you in the working environment.