About the role
Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across various regimes, allowing end-users to gain actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception (data collection), comprehension (data processing), and prediction (analytics). This holistic approach empowers Digantara to monitor all Resident Space Objects (RSOs) in orbit, fostering comprehensive domain awareness.
Digantara is seeking an Image Processing (AI/ML) Intern to develop, validate, and test machine learning and deep learning algorithms for both space-based and ground-based sensors. The intern will implement image processing algorithms to detect stars and streaks(RSOs) in the SSA images.
Why Us?
Be part of a collaborative and innovative environment where your ideas and skills make a real difference to the entire space realm.
Push the boundaries with hands-on experience, greater responsibilities, and rapid career advancement.
Competitive incentives, galvanising workspace, blazing team, frequent outings—pretty much everything that you have heard about a startup.
Ideal Candidate:
Someone with expertise in developing image processing algorithms (AI/ML) for ground-based telescopes.
Responsibilities:
Design and develop high-performance and optimized ML/DL models for object detection (stars as spots/blobs and objects as streaks/lines).
Perform detection and classification between the blobs and streaks.
Carry out model training and testing using the existing data (synthetic or real images).
Document the evaluation performance of the models/networks used for the detection and report retrieved coordinates with sub-pixel accuracy.
Required Qualification:
Bachelor's/master's degree in Electronics, Physics, Geoinformatics, Remote Sensing and GIS, Data Science, Statistics, Astronomy, or any relevant field.
Prior academic/research/industry experience with significant aptitude in image processing algorithms, machine learning, and deep learning.
Proficiency in high-level programming languages like Python and familiar with implementing Object Oriented Programming (OOP) Structures.
Better understanding of the concepts of real-sky and astronomical images with the various signal and noise conditions.
Strong analytical, problem-solving, and critical thinking skills.
Preferred Skills:
Hands-on experience in creating networks like CNNs, GANs for detection, segmentation, and classification.
Understanding of Bayesian methods and probabilistic models for optimal orientation estimation in astronomical images.
Proficiency in PyTorch, TensorFlow/Keras, Astropy, Scikit-learn, Scipy, and other relevant libraries. Expertise in managing a git repository is an advantage.
Basic understanding of fundamental principles of Computer vision and familiarity with OpenCV.
General Requirements:
Ability to work in a mission-focused, operational environment.
Ability to think critically and make independent decisions.
Interpersonal skills to enable working in a diverse and dynamic team.
Maintain a regular and predictable work schedule.
Writing and delivering technical documents and briefings.
Verbal and written communication skills, as well as organizational skills.
Travel occasionally as necessary.
About the company
Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across various regimes, allowing end-users to gain actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception (data collection), comprehension (data processing), and prediction (analytics). This holistic approach empowers Digantara to monitor all Resident Space Objects (RSOs) in orbit, fostering comprehensive domain awareness.
