Hiring

I am actively looking for highly motivated and talented PhD students, masters students, undergraduate interns, post-doctoral research fellows, research engineers, and visiting scholars to work in the areas of human-computer interaction, ubiquitous / pervasive computing, internet-of-things, sensors, data analytics and data visualization. If you are interested in working with me, please email me with your CV and transcript!

If you are interested in working with me as a postdoctoral fellow, we have open positions in the areas of urban data analytics and visualization, and healthcare sensing and persuasive interfaces. We are seeking outstanding candidates holding (or soon to be holding) a PhD in Human-Computer Interaction, Computer Science, Electrical Engineering, or related field. Please enquire and send your CV, cover letter and a brief statement of research interests.

If you are a prospective PhD student, please check out details of the NUS Computer Science PhD programme and apply online.

Here are some descriptions of possible projects and requirements.

Pervasive Persuasive Health – Postdoc

We have an open position on the HCI and machine learning aspects of mobile food logging and recommendation. The focus of the research is on designing and developing user-centric and persuasive interfaces to encourage healthy eating. The project will leverage deep learning and other machine learning techniques to support accurate and convenient food logging through mobile photograph recognition, and to recommend foods based on healthiness and user preferences. The project will also draw on dietetic practice and findings from cognitive psychology and persuasive design to develop effective and user-friendly mobile apps and dashboards.

Public Health Data Analytics – Intern

We are seeking data science interns to help analyze healthcare data. This project aims analyze a large dataset from mobile and wearable devices to understand human behavior. Undergraduate or graduate students with relevant background in Computer Science, Computer Engineering, Data Science, or related fields are invited to apply.

Requirements:

  • Scripting (R, Python, RESTful APIs)
  • Machine Learning (classifications, clustering, time series modeling, segmentation)
  • Familiar with tools for Statistics and Machine Learning (SPSS, SAS, JMP, R, Weka)
  • Familiar with relational databases (MySQL, PostgreSQL)

Desirable Experience

  • Familiar with tools for Geographic Information Systems (GIS): PostGIS, QGIS, GeoServer and OpenStreetMaps
  • Familiar with information visualization or interaction design. Capable of designing and implementing interfaces in Javascript, D3, Processing, etc

We are looking for one or multiple candidates who can fulfill all or part of the aforementioned requirements. Interested candidates should send your grade transcript and CV to Prof. Brian Lim (brianlim@comp.nus.edu.sg).

Mobile App for Food Logging and Recommendation – Interns and Research Engineers

We are seeking interns and research engineers to help build a mobile app for convenient and fast food logging and recommendation. Students or recent graduates with relevant background in Computer Science, Computer Engineering, Electrical Engineering, or related fields are invited to apply.

People love to eat tasty food, but they are concerned that eating unhealthy food can lead to chronic disease such as diabetes. This project aims build a user-friendly mobile app to help users easily track their diet through automatic food logging and recognition. It will also leverage machine learning and persuasive design to recommend healthier foods and influence eating behavior. The work can cover algorithm implementation, back-end development, and some front-end programming.

Requirements:

  • Programming (Java, PHP, Python, Scala, etc.)
  • Scripting (to get data from Web-based RESTful APIs)

Desirable Experience

  • Mobile programming (e.g., Android, Cordova, React Native)
  • Machine Learning
  • Recommender Systems (e.g., Collaborative Filtering)
  • Computer Vision concepts and frameworks (e.g., SIFT, OpenCV)
  • Deep Learning frameworks (e.g., Caffe, TensorFlow)

We are looking for one or multiple candidates who can fulfill all or part of the aforementioned requirements. Interested candidates should send your grade transcript and CV to Prof. Brian Lim (brianlim@comp.nus.edu.sg).

Mobile Image Recognition – Interns and Research Engineers

We are seeking interns and research engineers to help build a mobile app system for healthcare and wellness. Students or recent graduates with relevant background in Computer Science, Computer Engineering, Electrical Engineering, or related fields are invited to apply.

This project aims build mobile apps to perform image capture and automatic recognition, infer disease states, and provide automatic recommendations. The work can cover algorithm implementation, back-end development, and some front-end programming.

Requirements:

  • Programming (Java, PHP, Python, Scala, etc.)
  • Scripting (to get data from Web-based RESTful APIs)

Desirable Experience

  • Mobile programming (e.g., Android, Cordova, React Native)
  • Machine Learning
  • Recommender Systems (e.g., Collaborative Filtering)
  • Computer Vision concepts and frameworks (e.g., SIFT, OpenCV)
  • Deep Learning frameworks (e.g., Caffe, TensorFlow)

We are looking for one or multiple candidates who can fulfill all or part of the aforementioned requirements. Interested candidates should send your grade transcript and CV to Prof. Brian Lim (brianlim@comp.nus.edu.sg).

Data Visualization – Interns and Research Engineers

We are seeking web developer interns and research engineers to help build a web-based toolkit to visualise data in smart cities. Students or recent graduates with relevant background in Computer Science, Computer Engineering, Electrical Engineering, or related fields are invited to apply.

Singapore is becoming a smart nation with the increasing release of open data and the use of data analytics. However, this urban data needs to be used smartly to provide better services for citizens and government agencies. One way to do this is to provide good visualisations to help users better understand the data analytics, find patterns, and generate insights. Furthermore, urban data comes in many varieties and is applied to many application domains (transportation, air quality sensing, operations maintenance, etc.). Therefore, we are building the Urban Visual Analytics Toolkit to make it easy to build visualisations to satisfy this wide range of uses. Come help design and develop the features to make compelling and creative visualisations for the Smart Nation.

Requirements:

  • Working knowledge in HTML, CSS, Javascript and various web libraries such as jQuery, D3.js and THREE.js
  • Working knowledge of how to use REST APIs, AJAX methodology
  • Working knowledge of coding best practices
  • Experience/exposure to geospatial data and concepts and tools (e.g., PostGIS, QGIS, GeoServer OpenStreetMaps)
  • Experience/exposure to sensors and sensor data concepts
  • Experience/exposure to data visualisation
  • Possesses good design sense to build beautiful visualisations and user interfaces

Interested candidates should send a transcript and CV to Prof. Brian Lim (brianlim@comp.nus.edu.sg).