Algorithms Developer.

Publiceringsdatum: 2026-01-05

Är du på jakt efter en karriär inom yrken med teknisk inriktning? Vill du ta steget att arbeta som civilingenjör, teknisk fysik hos KraviAnalytics AB? Nu har du möjligheten. KraviAnalytics AB behöver någon som vill arbeta heltid. Om du är tillgänglig för tills vidare, ta en titt på denna jobbannons.

Om du redan bor i närheten av Lund, är det här din chans att söka ett spännande jobb KraviAnalytics AB har just nu en ledig tjänst som civilingenjör, teknisk fysik. Om du vill ta din karriär till nästa nivå, ta en titt på deras jobbannons och se om jobbet passar dig! Låt KraviAnalytics AB hjälpa dig att uppnå dina karriärmål som civilingenjör, teknisk fysik! Ansök seast torsdag den femtonde januari 2026.

Jobbannons

Role Description

This is a full-time, on-site position located in Lund for an Algorithms Developer. The role targets a technically strong developer with a solid mathematical foundation who is motivated to transform advanced theory into robust, scalable algorithms for real-world applications. The work focuses on satellite-based measurement systems and large-scale ocean observation, with emphasis on algorithm design, numerical methods, and data-intensive computation.

The successful candidate will drive the development of advanced algorithms for:

• Satellite observation and sensing systems
• Hybrid algorithmic–AI solutions, with attention to stability, robustness, and interpretability
• Large-scale numerical processing of geophysical and oceanographic data
• Fusion and integration of multi-source observational data

Your work will directly contribute to the design and implementation of next-generation surveillance and monitoring systems, influencing both scientific insight and operational performance.

Key Responsibilities

• Design, implement, and optimize algorithms for large-scale scientific and geophysical data analysis
• Develop numerically stable and computationally efficient methods for satellite data processing
• Translate mathematical models into production-quality software and prototypes
• Contribute to algorithmic approaches for multi-source data fusion and inverse problems
• Collaborate closely with mathematicians, physicists, and domain experts in an industrial research environment
• Supervise or mentor Master’s students working on algorithmic or computational research projects

Qualifications

Essential

• PhD (or equivalent research experience) in Mathematics, Computer Science, Engineering, or a closely related field
• Strong background in:
• Algorithm design and analysis
• Numerical methods and scientific computing
• Mathematical modelling (e.g. PDE-based or physics-informed models)
• Proven experience with Python for algorithm development, prototyping, and numerical computation
• Demonstrated track record of research or advanced development output (publications, algorithms, software libraries, or open-source contributions)

Desirable

• Experience with C++, performance-critical code, or high-performance computing
• Familiarity with GPU acceleration or parallel computing frameworks
• Experience working with inverse problems, data assimilation, or sensor fusion
• Exposure to applying machine learning within mathematically grounded algorithmic pipelines