JIX Research Fellowship

The JIX Research Fellowship is an R&D driven student support program designed to provide an opportunity for those involved in masters or doctoral research to partake in and drive real-time projects in the field of extended reality. 

We at JIX Reality are focused on applied research that leads to commercially viable industry prototypes. We are looking to bring on board fresh minds to accelerate the innovation process. As part of the program, students will have access to our XR lab’s hardware, support, expertise and dedicated workspace. 


2020 Fellowship Program Applications

Applications for the 2020 spring cohort are open. Submit your Expression of Interest with two academic referrals.  An applicant whose EOI is successful will be expected to attend a face to face interactive session with our research team.

August 20, 2020, 12:00 PM, NZT

Expression of Interest

August 25, 2020, 12:00 PM, NZT

Acceptance of EOI

September 15, 2020. 12:00 PM, NZT

Successful Applicants Announced


Previous Fellowship Recipients


Fellowship Details

                                                                           2020 Opportunity

  • Early Career Fellowship - A fully paid employment gaining experience for  recent masters graduate students majoring in Human Computer Interaction/ Electronics/Computer Science with specialization in Extended Reality/ Engineering. Stipend Offered: Up-to NZD 60,000 p.a. 

  • Advanced Research Fellowship - A funded opportunity to pursue PhD in an academic program that requires completion of a research thesis in areas related to Brain Computer Interface or Human Computer Interaction. The fellowship will cover the tuition fees of the PhD program and offer a stipend of up-to NZD 30,000 p.a.

                                                            Eligibility Criteria - Early Career Fellowship

Type 1:

  • Qualification - A masters graduate in HCI/Electronics/ Computer Science/ Engineering​    

  • Software - Sound Knowledge of C and Python programming languages

  • Hardware - Hands-on experience working with Arduino/TI based/ ARM based processors 

  • Conceptual - Good understanding of machine learning concepts and its applications

  • Preferred - Familiarity in using MATLAB/SIMULINK/LABView ; Understanding of SCI/I2C/WiFi/Zigbee/NFC/LoRaWAN/ Z-Wave/ Bluetooth communication protocols

  • Added Advantage - Previous experience working with body based sensors/ measurements/ body area network

Type 2:

  • Qualification - A masters graduate in Computer Science with specialization in  AR/VR/MR/XR

  • Experience - Hands-on working knowledge of developing in UNITY and designing UI/UX interactions; Exposure to 3D design, visual development and game development

  • Tools and Platform - Familiarity with Vuforia, ARkit, ARCore, WebX and Wikitude

                                                            Eligibility Criteria - Advanced Research Fellowship

  • Qualification - A PhD program of choice in the area of Brain Computer Interface or Human Computer Interaction

  • Conceptual - Fundamental understanding of Signal Processing, EEG/ECG/EMG/EOG

  • Programming and Platform - Sound knowledge of Python and familiarity with MATLAB

  • Experience - Hands-on working knowledge in handling and calibrating sensors, designing BCI/HCI based experiments and implementing BCI projects