Algorithm Development Researcher
Posted 22 days ago · 106 applicants
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The role in plain words
This role involves guiding the algorithm research process from fundamental studies through to final product development for advanced sensing technologies. You will design, implement, and validate advanced algorithms, perform data analysis, and execute laboratory and field experiments. Additionally, you will collaborate with data science, hardware, and system engineering teams to translate physical phenomena into computational models.
- Bachelor’s degree in Physics, Electrical Engineering, or Geophysics
- At least 3 years of experience in Signal Processing with solid understanding of sampling theory
- At least 3 years of experience with audio or sensor signal analysis including STFT, spectrograms, and filtering
- Ability to extract meaningful features from raw signals and integrate them into machine learning pipelines
- Hands‑on experience with Deep Learning including training and evaluating DL models such as CNNs and Transformers
- Master’s or higher degree
- Familiarity with self‑supervised learning methods
- Experience in Python, including large‑scale data loading, transformation, and dataset preparation
Extracted from the job description · kept up to date automatically
Who this suits
This role suits candidates with a Bachelor's degree in Physics, Electrical Engineering, or Geophysics and at least 3 years of experience in signal processing and sensor signal analysis. It is less ideal for those without hands-on experience in training deep learning models like CNNs and Transformers or those lacking a strong foundation in sampling theory.
Full job description
Original listing · kept for referenceWe’re looking for an Algorithm Engineer to join a leading defense organization specializing in research
and development of advanced sensing technologies, for a full‑time position
About The Role
You will guide the research process from fundamental studies through to final product development, focusing on the design
implementation, and validation of advanced algorithms. This role combines theoretical research with practical implementation offering a unique
opportunity to make an impact across multidisciplinary sensing technologies
Your responsibilities
Develop advanced algorithms and support the research process from concept to implementation
Design, execute, and analyze laboratory and field experiments
Perform data analysis and processing, including image and signal processing research tasks
Work closely with data scientists, hardware, and system engineering teams to translate physical phenomena into computational models
Requirements
Bachelor’s degree in Physics, Electrical Engineering, or Geophysics
Master’s or higher degree – Advantage
At least 3 years of experience in Signal Processing with solid understanding of sampling theory
At least 3 years of experience with audio or sensor signal analysis including STFT, spectrograms, and filtering
Ability to extract meaningful features from raw signals and integrate them into machine learning pipelines
Hands‑on experience with Deep Learning including training and evaluating DL models such as CNNs and Transformers
Experience with scientific and ML ecosystem tools such as NumPy, SciPy, Pandas, and PyTorch
Familiarity with self‑supervised learning methods – Advantage
Experience in Python, including large‑scale data loading, transformation, and dataset preparation – Advantage
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Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Bachelor’s degree in Physics, Electrical Engineering, or Geophysics, At least 3 years of experience in Signal Processing with solid understanding of sampling theory, At least 3 years of experience with audio or sensor signal analysis including STFT, spectrograms, and filtering, Ability to extract meaningful features from raw signals and integrate them into machine learning pipelines, Hands‑on experience with Deep Learning including training and evaluating DL models such as CNNs and Transformers