We are seeking a talented and enthusiastic Signal Processing Research and Algorithm Developer to join our growing team.
Responsibilities:
Develop and implement novel algorithms for processing and analyzing SAR data.
Design and conduct experiments to assess the performance of new algorithms.
Integrate developed algorithms into existing software frameworks.
Collaborate with scientists and engineers to understand and translate application requirements into technical specifications.
Document technical designs, algorithms, and results clearly and concisely.
Stay current on the latest advancements in SAR data processing and machine learning techniques.
Responsibilities:
Develop and implement novel algorithms for processing and analyzing SAR data.
Design and conduct experiments to assess the performance of new algorithms.
Integrate developed algorithms into existing software frameworks.
Collaborate with scientists and engineers to understand and translate application requirements into technical specifications.
Document technical designs, algorithms, and results clearly and concisely.
Stay current on the latest advancements in SAR data processing and machine learning techniques.
Requirements:
M.Sc. in Electrical Engineering, Physics, Applied Mathematics or equivalent.
Knowledge of electromagnetic wave theory and its application to radar systems.
Solid understanding of ML algorithms, model evaluation, and validation techniques.
Proficiency in Python and familiarity with scientific computing libraries such as NumPy, SciPy.
Preferred Qualifications:
Experience working with SAR data.
Expertise in remote sensing image processing techniques.
Experience with cloud computing platforms (e.g., AWS, Google Cloud Platform).
Experience with containerization technologies (e.g., Docker).
Knowledge of geospatial data processing.
Requirements:
A self-motivated, quick learner with a broad perspective and a can-do attitude.
Excellent analytical skills with the ability to identify problems and propose solutions.
Strong communication skills & ability to work collaboratively in a team.
High proficiency in English (writing, speaking & reading).
M.Sc. in Electrical Engineering, Physics, Applied Mathematics or equivalent.
Knowledge of electromagnetic wave theory and its application to radar systems.
Solid understanding of ML algorithms, model evaluation, and validation techniques.
Proficiency in Python and familiarity with scientific computing libraries such as NumPy, SciPy.
Preferred Qualifications:
Experience working with SAR data.
Expertise in remote sensing image processing techniques.
Experience with cloud computing platforms (e.g., AWS, Google Cloud Platform).
Experience with containerization technologies (e.g., Docker).
Knowledge of geospatial data processing.
Requirements:
A self-motivated, quick learner with a broad perspective and a can-do attitude.
Excellent analytical skills with the ability to identify problems and propose solutions.
Strong communication skills & ability to work collaboratively in a team.
High proficiency in English (writing, speaking & reading).
This position is open to all candidates.
