Master Thesis Student (UAV Autonomy - Perception & State Estimation)

Hertel. Robotics; Caldas da Rainha; On-site; EUR 15,233 - 18,246; Full time

Benefits offered by this job

Real data for thesis validation

Expert guidance from industry leaders

Potential job offer after thesis

Job summary

An innovative robotics startup in Caldas da Rainha is offering a Master Thesis position focused on UAV autonomy, state estimation, and sensor fusion. The selected candidate will develop cutting-edge research in real-world maritime conditions, collaborating closely with industry professionals. Applicants should be currently enrolled in an MSc program and possess strong skills in C++ and robotics, along with a proactive attitude towards problem-solving. This role may lead to a job offer post-thesis completion.

Qualifications

• Familiar with Linear Algebra, Probability, and Control Theory.
• Understanding of Kalman Filters and Optimization.
• Hands-on experience with robotics projects.

Responsibilities

• Conduct research on state estimation and sensor fusion methods.
• Work directly with the Lead Perception Engineer.
• Test research on real UAV platforms.

Skills

Strong proficiency in C++

Python

Sensor fusion

Computer Vision techniques

Proactive communication

Familiarity with drones

Education

Currently enrolled in MSc program (Robotics, CS, AI or similar)

Tools

OpenCV

Airsim

Job description

Master Thesis Student (UAV Autonomy - Perception & State Estimation)

1 day ago Be among the first 25 applicants

Job Title: Master Thesis Student (UAV Autonomy - Perception & State Estimation)

Type: Thesis Project (MSc) + Potential Hire

🚀 The Challenge

Hertel Robotics is a stealth‑mode startup branch (besides Hertel. Aerials and Hertel. Pictures, est. 2021) in Caldas da Rainha building autonomous drone systems for the world’s harshest maritime environments. We believe if it doesn’t fly (and land) comfortably in +45 knots and 5 meter waves, it doesn’t work reliable enough to actually help in high stakes ocean operations.

We are offering a Master Thesis position for a student ready to push the boundaries of state estimation, perception, and sensor fusion. Your research will be tested on real UAV platforms, bridging theory and practice. You will work directly with our Lead Perception Engineer (PhD) and our technical team to turn your academic research into flight‑proven reality.

• Robust SLAM: Visual‑Inertial Odometry (VIO) in feature‑poor or degraded visual environments (rain/fog).
• Sensor Fusion: Tightly coupled fusion of LiDAR, Radar, and Optical flow for precision landing.
• Academic: Currently enrolled in an MSc program (Robotics, CS, AI, or similar).
• Theory: Strong foundation in Linear Algebra, Probability, and Control Theory (Kalman Filters, Optimization).
• Computer Vision: Familiarity with CV techniques (feature extraction, optical flow, marker detection) and libraries such as OpenCV.
• State Estimation: Understanding of sensor fusion methods (e.g., EKF, VIO, SLAM) and their practical limitations.
• Simulation: Experience with Airsim
• Coding: Strong proficiency in C++ /Python.
• ROS2: Basic understanding of nodes, topics, and messages.
• Linux: Confident working in Ubuntu terminal.
• Attitude: Proactive communicator, eager to solve problems.
• Familiarity with sensor fusion techniques (e.g., Kalman filters).
• Experience with machine learning
• Hands‑on experience with drones or robotics projects.
• Knowledge of UAV dynamics and PX4/ArduPilot.

🏆 Why Write Your Thesis With Us?

• Real Data: Don’t just simulate. Validate your thesis on real, industrial‑grade platforms in the field.
• Expert Guidance: Weekly syncs with industry experts who bridge the gap between academia and product.
• The Future: We are looking for our future R&D leads. Prove your research here, and walk straight into a job offer.

Seniority level

Internship

Employment type

Full‑time

Job function

Education and Training

Industries

Embedded Software Products

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