Research Internship / Master’s Thesis (Knowledge Base and Inference Models)
10 January 2019
Open until filled
Technical university of Munich - Campus for Research Excellence and Technological Enterprise (TUMCREATE) is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence And Technological Enterprise (CREATE).
At TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.
More Information about TUMCREATE can be found by viewing our web pages at http://www.tum-create.edu.sg/
TUMCREATE is a leading research institute set up by the Technical University of Munich, Germany in collaboration with the National Research Foundation (NRF) of Singapore. TUMCREATE has received funding and support for the SPEED-CARGO project from the Civil Aviation Authority of Singapore (CAAS) and the NRF to develop automation solutions that will transform the air freight logistics sector. TUMCREATE’s SPEEDCARGO solution is the world's first AI-powered robotic system for improving the productivity, efficiency and security of air cargo processes.
SPEEDCARGO is seeking technical experts with a passion for creating world class products, and a willingness to work in a fast paced, quality-obsessed, multi-cultural global environment. On completion, the project will spin-off as a start-up with members of the project team having the option to join the start-up with benefits that include attractive Employee Stock Ownership/Option Plans.
Apply now if you are interested in working on cutting edge technologies, changing the world with your work and joining a dynamic start-up team! More details on the project: https://www.speedcargo.sg/
Knowledge Base and Inference Models for AI-based Optimi-zation and Control of Air Cargo Processes
Background of the work
The SPEEDCARGO team has already developed technology to enhance the productivity of certain critical parts of the air cargo process. Through this point of entry, we have managed to get an overview of the entire air cargo ecosystem, which consists of multiple stakeholders, processes and data representation. There is a huge potential of implementing AI-driven optimization methods to improve the productivity and transparency within the industry. In order to achieve this, we intend to take carefully planned steps using state of the art knowledge modelling tools for formally representing the various factual aspects of the industry. Such a formal representation can further be used to develop AI based real-time decision support for different stakeholders within this industry.
Objective & Tasks
The candidate selected for this work will be working on developing a knowledge base for converting the information of the air cargo industry assimilated by the SPEEDCARGO team. The web ontology language will be used to develop the knowledge graph. The candidate will also develop inference models and visualization tools for decision support.
Master/bachelor’s degree in Computer Science/Mathematics from a reputable University
Strong knowledge of fundamentals in computer science and mathematics
Excellent academic record
Exposure to concepts in knowledge graphs, first order logic and computational linguistics
Strong analytical thinking and exposure to knowledge modelling tools such as Protégé
What we expect from you
Strong competence in computer science
Familiarity with Web Ontology Language (OWL), RDF, XML
Familiarity with tools such as Protégé
Experience in programming with C/C++, Python, Java,
Experience in functional programming with Prolog, LISP
Ability to work independently
What we offer you
An international and multidisciplinary working environment
Opportunity to work on hi-tech robotic systems
Challenging tasks with real-life relevance
Dr Suraj Nair (email@example.com)
How To Apply
Please send through a complete application including cover letter, CV, University degrees and transcripts to Dr Suraj Nair at firstname.lastname@example.org
Thank you for your applications, only shortlisted candidates will be notified.