Harvest Intelligence
ARTIFICIAL INTELLIGENCE RESEARCHER
We are seeking a skilled and innovative Artificial Intelligence Researcher to join our team in the industrial mushroom growing sector. As an AI Researcher, you will play a pivotal role in developing and applying cutting-edge AI and machine learning techniques to optimize various aspects of our mushroom cultivation processes.
LOCATION
Lausanne
EMPLOYMENT TYPE
Permanent
What You’ll Do
-
Lead the research and development of AI models and algorithms to enhance mushroom cultivation efficiency, yield, and quality.
-
Collaborate with cross-functional teams to identify critical challenges in mushroom cultivation and design AI-powered solutions.
-
Explore and implement advanced machine learning techniques for analyzing complex datasets related to growth conditions, environmental factors, and production outcomes.
-
Develop predictive models for estimating mushroom growth patterns and optimizing harvesting strategies.
-
Create and train AI models for real-time monitoring of cultivation parameters, enabling early detection of anomalies and potential issues.
-
Collaborate with domain experts to integrate AI technologies into existing cultivation workflows.
-
Experiment with emerging AI technologies and frameworks to drive continuous innovation in mushroom cultivation practices.
Who You are
-
Ph.D. or Master's degree in Artificial Intelligence, Computer Science, Machine Learning, or a related field.
-
Proven experience in AI research with a focus on machine learning, deep learning, and data-driven problem-solving.
-
Strong programming skills in languages such as Python, along with experience using AI frameworks like TensorFlow, PyTorch, or Keras.
-
Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
-
Familiarity with AI applications in agriculture or biotechnology is a plus.
-
Strong analytical and problem-solving abilities to tackle complex challenges in mushroom cultivation.
-
Excellent communication skills to convey research findings to both technical and non-technical stakeholders.
-
Ability to work collaboratively in interdisciplinary teams and manage research projects.