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TEAM

Our management team of industry experts in business, technology and research have a strong track record in delivering complex solutions. We have grown to a total of 17 employees in total.

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CARSTEN BRINKSCHULTE

CEO, Management, Technical and Corporate Strategy, Marketing & Sales

Serial entrepreneur (3 exits) with 20 years experience in mobile network infrastructure. Previously Core Network Dynamics (Twilio), Movirtu (Blackberry), Synchronica.

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DANIEL
HOLLOS

Embedded Software Lead

Senior Embedded Systems and Mesh Network Software Engineer with 12+ years’ experience in embedded system design and development.

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MARCO BÖNIG

Hardware Development Lead

Expert in RF hardware and custom design of electronic solutions, holds a patent for energy harvesting for smart home products.

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BEN
BANERJEE

SVP, Worldwide Sales

Experienced business development leader, professional services and telecom background. Previously Infosys, Synchronica, Microsoft, Telus, Bell Canada.

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CHERIAN MATHEW

Cloud and Analytics Software Lead

16+ years of experience in software architecture, design and development in both industry and academia with a focus on cloud based data analysis systems.

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DR. HABIL. JÜRGEN MÜLLER

Research and Scientific Advice, Strategic Partnerships

Until recently leader of department of forest ecology Thünen-Institute of Forest Ecosystems. Developed INPRIWA, a prototype for early forest fire detection.

 
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INVESTORS

Our investors are a combination of financial, strategic and impact investors.

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JOB OPENINGS

As a growing company, we are always looking for new team members. Whether you’re interested in business or have something innovative and unique to bring to the table, we’d love to see if you’re a good fit for Dryad. Send us your CV today to and we will get back to you as soon as we can.

ML / AI Engineer

Eberswalde / Berlin
  • Contributing to smoke test experiments with regards to understanding and organization of resulting experiment data.

  • Experiment with sensor deployments on-site, also in forests.

  • Development of ETL pipeline to streamline the experiment data to AI models process.

  • Development of a smoke recognition model based on outputs of several sensor readings; ML experience including deep learning is required

  • Development of forest health prediction models taking into consideration climate change and its effect on forest ecosystems to help forest owners and relevant authorities better monitor and manage forests.

  • Development / Use of forest fire prediction models to further augment and enhance the sensor based approach.

PARTNERS

We are working with selected partners helping us to fulfill our mission with mentoring, advise and services.

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