Classification: Applied Mathematics (Signal Processing)
The Signal Processing, Learning, and Computing (SPLC) Group at the Baltic Institute of Advanced Technology (BPTI) seeks a postdoctoral researcher in theoretical and applied signal processing. [Job Profile] The successful candidate will be developing new computational methods for airborne object recognition in radar signals. Your work will include: (*) Performing theoretical analysis of relevant structural feature recoverability from Doppler signatures, (*) Designing new specialized approaches to object recognition, Creating numerical algorithms for efficient implementations of these approaches on computing platforms, (*) Carrying out real-world data analysis and model simulations. There will also be possibilities to engage in other projects of the SPLC group or pursue your own ideas consistent with the group’s interests. Presenting research results in the form of scientific conference presentations and journal publications will be supported. Besides conducting scientific research, you will also have a chance to contribute to developing real-world systems with our industrial partners. [Requirements for the Candidate] (*) Doctoral degree in Applied Mathematics, Computer Science, Electronics & Electrical Engineering, Physics, or a related field (*) Proven skills and experience in successfully designing and carrying out research projects (*) Either theoretical knowledge or working experience in a significant subset of the following areas: __(x) Numerical analysis, __(x) Statistical inference, __(x) Signal processing, __(x) Mathematical optimization, __(x)Machine learning, __(x) Scientific computing. (*) Proficiency in at least one high-level programming language and development environment suitable for numerical computing, data analysis, and visualization (e.g., MATLAB, Python, Julia) demonstrated via routine use in research projects (*) Fluency in written and spoken English Prior experience in radar signal processing is welcome but not required. A balanced experience in theoretical and computational topics is expected from the ideal candidate. However, people putting mathematical rigor in the first place are also very welcome to apply. [What We Offer] (*) 3800 – 4500 Eur / month (gross) salary depending on the actual competencies (*) Possibility of qualifying for a permanent position after a 1-year fixed-term contract (*) Possibility of focussing on quality research instead of chasing performance metrics (*) Close ties with industry to turn your research results into real-world solutions [Application] (*) Please send the following information to email@example.com: (*) Cover letter briefly describing your motivation for choosing this position in connection to your interests and previous experience, (*) Curriculum Vitae, (*) A list of short summaries of your previous research projects describing the problem, the solution, the conclusion, and your contribution. Applications will be reviewed on a rolling basis until the position is filled. About Us BPTI is a private, high-tech-oriented research institute established in Lithuania in 2008. We are driven by our mission to create value by providing R&D services for global security. Our core competencies in research and innovations lie in theoretical and applied machine learning and signal processing, integrated circuit design for radar and communication systems, cybersecurity solutions, and military UX/UI development. We believe that the origins of any technological breakthrough are rooted in fundamental research and, thus, dedicate a considerable part of our efforts to this dimension. We are a part of the official scientific research institution network of Lithuania. The SPLC group at BPTI focuses on developing mathematical methods for extracting information from signals and other forms of data and implementing these methods numerically on computing platforms. In mathematical terms, our work includes solving various inverse problems of deterministic or stochastic nature. It builds on expertise in applied mathematics areas, such as numerical analysis, statistics, and mathematical optimization. We give equal emphasis to both the conceptual and the practical aspects of our work.
Last updated: 27 August 2023