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Research Assistant - Transportation

Applications are closed

  • Job
    Full-time
    Starts on Jul 14
    Entry Level
  • Logistics
  • London

Requirements

  • Undergraduate degree in a relevant area of focus, preference will be given to engineering background in transportation, civil and environmental engineering, electrical and computer engineering, software, computer science, mathematics
  • Experience:
  • Work experience in supporting research in a related field and preference will be given to experience in one of the following topics:
  • course learning or project experience in transportation and traffic areas
  • Temporal-spatial data analysis
  • Backend development with data feeds
  • Mathematical modeling for optimization problems
  • Skills, Abilities & Expertise:
  • Detail-oriented with an ability to function and process information with high levels of accuracy
  • Interest in public transit, urban trasporation, traffic engineering or big data analyses
  • Demonstrated skills in programming language, preferably python and/or Java
  • Ability to employ a systematic and efficient approach to work
  • Personable and courteous in working relationships with colleagues, students and the public
  • Ability to collect and analyze data in an objective manner
  • Familiarity with regulations and guidelines governing research
  • Familiarity with methods for research design, implementation, and analysis
  • Familiarity with experimental design and analysis
  • Computer skills with the ability to learn and use software programs
  • Intermediate computer skills in Microsoft Office Suite
  • Ability to work independently and effectively as a member of the team to achieve department goals
  • Verbal and written communication skills with the ability to document technical information

Responsibilities

  • The Research Assistant will support the research activities for qualitative and quantitative projects in adherence with ethics protocols and guidelines. The incumbent will assist with one or more of the following tasks in transportation and traffic area with focus on disruptive technologies such as sensing data, infrastructure, on-demand public transit, connected vehicles, autonomous vehicles, electrical buses, and shared mobility. The incubment will research literature review on the development and impacts of the above disruptive technologies on transportation and smart city areas, write technical reports and manuscript editing and formatting. The incumbent will analyze and process smartcard and mobile application data with Python; visualize and integrates data that communicates clear information and conclusions and support and initiate the development of statistical model and machine learning models. The incumbenet will use mathematical cognition research on travel behavior modeling, operation strategy design and optimization and backend re-infrastructure and programming (Python or Java).

FAQs

What qualifications are required for the Research Assistant - Transportation position?

The preferred qualifications for this position include an undergraduate degree in a relevant area of focus, with preference given to those with an engineering background in transportation, civil and environmental engineering, electrical and computer engineering, software, computer science, or mathematics.

What kind of experience is preferred for this role?

Preference will be given to candidates with work experience in supporting research in related fields, with specific experience in transportation and traffic areas, temporal-spatial data analysis, backend development with data feeds, or mathematical modeling for optimization problems.

What skills and abilities are important for this role?

The ideal candidate should be detail-oriented, interested in public transit and urban transportation, possess programming skills in Python and/or Java, have a systematic and efficient approach to work, demonstrate strong communication skills, and be able to work independently and as part of a team.

What specific tasks will the Research Assistant be responsible for?

The Research Assistant will be involved in literature review on disruptive transportation technologies, writing technical reports, analyzing and processing smartcard and mobile application data, visualizing data, developing statistical and machine learning models, and supporting research in travel behavior modeling, operation strategy design, and backend infrastructure programming.

What software skills are required for this role?

Intermediate computer skills in Microsoft Office Suite are required, as well as proficiency in programming languages such as Python and Java. The ability to learn and use software programs is also important for this position.

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