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Internship

Indoor Positioning Research Intern

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Huawei

Oct 16

🚀 Off-cycle Internship

Edinburgh

AI generated summary

  • The candidate must have previous experience in RF signal processing, data regression/augmentation, geomagnetic map construction, RF SLAM/crowd-sourcing, machine/deep learning, smartphone indoor navigation, and programming skills in Java, Python, or C++. They should be able to discuss and evaluate algorithms, be enrolled in a relevant program, and have desirable experience with R&D projects, open-source projects, geospatial data science, and publications. A strong academic background and programming skills are required, and a PhD or strong academic record is preferred.
  • The candidate will evaluate and implement indoor positioning algorithms, assist in data analysis and improvement of data pipeline, support the research team in testing and evaluation, contribute to Huawei's positioning research, and drive innovation for future development.

Off-cycle Internship

Research & Development, Software EngineeringEdinburgh

Description

  • Working as part of the Huawei positioning & navigation team sums a spectrum of empirical computer science research and data driven solution engineering. This team in Edinburgh Research Centre is responsible for algorithm developing, prototyping and identifying opportunities to improve Huawei devices user’s experience.

Requirements

  • Previous experience in at least two of the following:
  • RF Signal Processing.
  • Data Regression / Augmentation.
  • Geomagnetic Map Construction.
  • RF SLAM / Crowd-Sourcing.
  • Machine Learning / Deep Learning.
  • Smartphone Indoor Navigation.
  • Reasonable programming skills in at least one of: Java, Python or C++
  • Ability to discuss, evaluate and run algorithms developed by other team members.
  • Enrolment in relevant undergraduate or post graduate course.
  • Desired:
  • Relevant experience delivering innovations and R&D projects.
  • Contributions to open-source projects related to qualitative data frameworks or pipelines.
  • Previous experience in geospatial data science.
  • Publications records in related topics.
  • We Wish You are:
  • A PhD student or candidate in Computing Science, Database, Programming Languages or other related programmes;
  • Have a strong academic background and programming skills, published paper on top conferences or journals in the related fields is preferred;
  • Be able to work minimum 3 month, 20 hours per week.

Education requirements

Bachelors

Area of Responsibilities

Research & Development
Software Engineering

Responsibilities

  • Evaluating and assessment of alternative indoor positioning & navigation algorithms for smartphones & wearables.
  • Assisting in implementation of components to enrich data pipeline, working with Qualitative data, features engineering, data clustering, classification and dimensionality reduction.
  • Support the research team in building automated testing and evaluation reports for key technical components.
  • Contribute to the overall competence of Huawei’s research and development of positioning and radio-map construction.
  • Realise and procure innovations for the future development of positioning and navigation technologies.

Details

Work type

Full time

Work mode

office

Location

Edinburgh