Internship Data Science
Sensor Data for Advanced Irrigation Analysis
Are you passionate about data science and looking to apply your skills in a cutting-edge technological environment? Join Plense Technologies to help revolutionize sensor data interpretation! In this role, you'll explore how our innovative sensors can reveal new insights by correlating multiple data streams, such as temperature, soil moisture, and light exposure, to uncover patterns in irrigation strategies for bell pepper crops.
Why work with us
At Plense Technologies, we’re combining sensor technology with advanced data analytics to break new ground. Joining our team as a data science intern means you’ll gain: 🔍 Hands-on Data Analysis: Work directly with novel datasets from state-of-the-art sensor systems. 💡 Model Development: Apply machine learning and statistical methods to extract meaningful insights from complex data. 🌐 Real-World Application: Contribute to solving real-world challenges through advanced data interpretation, with the potential to impact the future of precision agriculture. 🏆 Collaborate with Experts: Learn from and work alongside experienced data scientists and engineers in a fast-paced, innovative environment.
What You'll Do
You’ll be tasked with developing methodologies to analyze and correlate novel ultrasound data with other environmental factors, such as temperature, soil water content, and lighting. Key responsibilities include: 📊 Data Collection & Integration: Work with various sensor data streams and manual measurements. 🔗 Correlate & Validate: Develop algorithms and models to find meaningful relationships across datasets. 🧠 Collaborate & Interpret: Work closely with our data scientist to interpret findings and suggest actionable insights.
Who We're Looking For
We’re seeking driven, curious, and proactive Data Science MSc students who want to see their work make a tangible impact. You’ll be part of an innovative team where your data science expertise can directly contribute to advancements in sensor technology and data interpretation. Key Requirements: • Currently pursuing an MSc in Data Science, AI, Biosystems Engineering, or a related field • Solid understanding of machine learning algorithms • Experience working with time-series data, preferably from sensors • Knowledge of data cleaning and outlier detection • Strong problem-solving skills and a proactive, solution-oriented mindset • Ability to communicate findings effectively to both technical and non-technical stakeholders
Details
📅 Application Deadline: November 29th, 23:59 🚀 Start Date: January 20st, 2025 ⏳ Duration: 4-6 months 🌍 Location: Flexible (Remote or Delft) Interested in applying your data science skills to a real-world problem? Send your CV and a short motivation (max. ½ A4) to Berend at berend@plense.tech.