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PhD Scholarship: Hyperspectral Video Tracking

Company Description

We are currently looking for a PhD candidate to join the ARC Discovery Project “Spectral-spatial-temporal object tracking in hyperspectral videos”.

This project aims to advance video processing systems through the development of hyperspectral object detection and tracking methods. Focused on challenging scenarios faced by conventional camera systems, this research harnesses the capability of hyperspectral video cameras in material identification within and beyond the visible spectrum to capture and model the spectral, spatial, and temporal information for object tracking. Expected outcomes include the formulation of novel methods for material identification, spatial distribution mapping, spectral-structural feature extraction, and their integration into temporal tracking models. This promises to reshape video processing, benefiting agriculture, environment, and transportation sectors.

The primary focus of this role is to undertake fundamental research in hyperspectral video tracking. Research activities includes data collection and labelling, developing methods for material distribution estimation and attention-based mechanism for hyperspectral band grouping with deep learning, experimental validation, and technical paper writing.

Job Description

The School of Information and Communication Technology (ICT) at Griffith University is a leading institution dedicated to advancing knowledge and innovation in the fields of computer science, information technology, and digital systems.

This research project will be undertaken at Brisbane South (Nathan). As Griffith is a multi-site University you may be required to work across other locations.

Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples.

The candidate will also have the opportunity to gain research training and work in a research team of more than 15 research fellows and PhD students. Success in this role requires collaboration with Prof. Jun Zhou, Prof. Kuldip Paliwal, and other project team members.

Qualifications

The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful in this role, you must demonstrate strong mathematical background, analytical skills, the ability to work independently and collaboratively, and a commitment to meeting research deadlines. Evidence of a passion for computer vision and image processing is essential, along with a strong desire to contribute to innovative research in object tracking using hyperspectral videos. Previous experiences in video data analysis and relevant publication track record is preferred.

  • Expressions of interest are welcome from domestic and international applicants.
  • Applicants must have completed, or expect to complete, a bachelors degree with honours equivalent to first class honours or a Masters degree (AQF Level 9) incorporating a significant research component of a standard comparable to a bachelor honours degree or be regarded by Griffith University as having an equivalent level of attainment in accordance with Schedule One of the HDR Scholarship Procedure.  For further information on the eligibility requirements for the program refer here.

International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. Applicants to research programs will need to show they meet:

  1. A minimum overall band score of 6.5 on the IELTS (Academic) with no band score less than 6.0 OR
  2. A minimum score of 575 on the paper-based TOEFL including a score of no less than 5.0 on the TWE OR
  3. A score of 79 on the internet-based (iBT) TOEFL with no sub-score less than 19

Additional Information

About the scholarship
The 2025 Griffith University Postgraduate Research Scholarship has an annual stipend of $34,752 (indexed) for a period of up to three years of full-time study. Please see the GUPRS Conditions of Award for more information.

A successful International applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years. Please see the GUIPRS Conditions of Award for more information.


What Griffith offers
As a scholarship holder, you will study with a University that ranks among the top 2% worldwide and spans across locations in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM).

EoI process

Please do not select the “APPLY” button. All expressions of interest must be submitted to [email protected] containing:

  • Statement addressing your suitability for the project/scholarship
  • Research proposal
  • Evidence that you have completed a program with the required grades as detailed in the about you section, including a copy of your academic transcript
  • A curriculum vitae (CV) using the Griffith CV template.
  • Names of two referees

Closing date of expressions of interest: Thursday 17 April 2025 at 5pm AEST

The preferred applicant will then be invited to apply for the program and scholarship online.

For project related enquiries please contact:
Professor Jun Zhou
Email: [email protected]

For administration enquiries please contact:
Griffith Graduate Research School
Email: [email protected]

Average salary estimate

$34752 / YEARLY (est.)
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$34752K
$34752K

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What You Should Know About PhD Scholarship: Hyperspectral Video Tracking, Griffith University

Are you ready to take your research career to the next level? Join Griffith University as a PhD candidate for our exciting ARC Discovery Project focused on Hyperspectral Video Tracking! We're searching for individuals who are passionate about leveraging the potential of hyperspectral video technology to enhance video processing systems. You'll dive into fundamental research, tackling thrilling challenges in object detection and tracking across various domains like agriculture, environment, and transportation. In this position, you will collect and label vital data, develop innovative methods for material estimating and deep learning approaches, and engage in experimental validation. Collaborating closely with esteemed professors and a dynamic team of over 15 fellow researchers and PhD students, you'll have the opportunity to build strong connections and grow your academic experience. The ideal candidate will have a robust background in mathematics, strong collaborative skills, and a burning passion for computer vision and image processing. If you're excited about pioneering novel methods for material identification and reshaping the future of video tracking, we can't wait to hear from you. At Griffith University, known for its innovative research culture and inclusive environment, you will find the support you need to excel in your academic journey. Let's harness the power of hyperspectral imaging together!

Frequently Asked Questions (FAQs) for PhD Scholarship: Hyperspectral Video Tracking Role at Griffith University
What are the responsibilities of the PhD Scholarship: Hyperspectral Video Tracking at Griffith University?

As a PhD candidate for the Hyperspectral Video Tracking project at Griffith University, your primary responsibilities will include conducting fundamental research, collecting and labeling data, and developing advanced methods for material distribution estimation and attention mechanisms within hyperspectral video analysis. You will also focus on experimental validation and the writing of technical papers related to your findings.

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What qualifications do I need for the PhD Scholarship: Hyperspectral Video Tracking at Griffith University?

To be eligible for the PhD Scholarship: Hyperspectral Video Tracking at Griffith University, you should have a bachelor's degree with honors equivalent to first class or a Master's degree that includes a significant research component. A strong mathematical background and experience in video data analysis are highly regarded as part of the qualifications for this scholarship.

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Is prior research experience required for the PhD Scholarship: Hyperspectral Video Tracking at Griffith University?

While prior research experience is preferred for the PhD Scholarship: Hyperspectral Video Tracking, what’s more important is your demonstrated passion for computer vision and your ability to work both independently and collaboratively. A solid publication track record and familiarity with image processing principles will enhance your application.

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What opportunities will the PhD Scholarship: Hyperspectral Video Tracking provide at Griffith University?

The PhD Scholarship: Hyperspectral Video Tracking at Griffith University will provide you with unique opportunities to collaborate with leading researchers, participate in cutting-edge research training, and contribute to significant advancements in object tracking. You'll also gain professional development that supports your academic growth in a top-ranked global institution.

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How can I submit my Expression of Interest for the PhD Scholarship: Hyperspectral Video Tracking at Griffith University?

To submit your Expression of Interest for the PhD Scholarship: Hyperspectral Video Tracking at Griffith University, you need to prepare a statement detailing your suitability for the scholarship, a research proposal, your academic transcript, a CV, and the names of two referees. Submit these documents via email to the provided contacts before the deadline.

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Common Interview Questions for PhD Scholarship: Hyperspectral Video Tracking
What interests you about hyperspectral video tracking?

Expressing your genuine interest in hyperspectral video tracking during your interview can set you apart. Discuss how the technology fascinates you and its potential applications, highlighting any specific areas where you see it making a significant impact, like in remote sensing or medical imaging.

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How do you plan to approach data collection and labeling for hyperspectral videos?

When answering, emphasize any previous experience you have with data collection or analysis. You might suggest a systematic approach to organizing the dataset, ensuring accuracy in labeling, and utilizing best practices for managing large volumes of data, which is crucial in hyperspectral studies.

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What techniques do you think are essential for material identification in hyperspectral imaging?

Discuss specific techniques relevant to material identification, such as spectral unmixing or machine learning approaches. Make sure to relate these techniques to your previous experiences or any theoretical knowledge you possess regarding hyperspectral imaging and its challenges.

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Can you describe your experience with deep learning models in the context of image processing?

In your response, detail any projects or coursework where you've applied deep learning, particularly in image processing. Illustrate your knowledge of various models, their functions, and how you've adapted them to solve specific problems related to image recognition or analysis.

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How do you prioritize tasks when working on multiple research projects?

Provide an example from your previous experience that illustrates your organizational skills. Explain how you set priorities based on deadlines and project importance, and describe any tools or methods you use to keep track of progress on different projects simultaneously.

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What challenges do you anticipate in your research on hyperspectral video tracking?

A thoughtful answer here would involve recognizing potential difficulties, such as data complexity or noise in hyperspectral images. Be sure to mention your strategies for overcoming these challenges, like adopting rigorous experimental validation methods or collaborating with your research team.

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How would you describe your experience working in a collaborative research environment?

Share specific instances where teamwork led to success in your research. Highlight how communication and sharing ideas with colleagues motivate you and contribute to a more enriching research outcome, demonstrating your compatibility with Griffith’s collaborative culture.

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What motivates your passion for computer vision research?

Discuss your personal connection to computer vision, perhaps citing a specific moment or experience that sparked your interest. Convey excitement about the technology's real-world applications and potential to solve existing challenges, thus demonstrating your deep commitment to the field.

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What do you hope to accomplish during your PhD at Griffith University?

Outline your short and long-term goals while studying, such as publishing significant research findings, developing innovative methodologies in hyperspectral processing, or even mentoring undergraduates, showcasing your ambition and vision for your time at Griffith.

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Why should we select you for the PhD Scholarship in Hyperspectral Video Tracking?

Reinforce your unique qualifications, including your academic background, research interests, and personal traits that align with the position. Highlight your passion for the research field, your proactive attitude, and how you plan to contribute to Griffith University’s goals in innovative research.

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Founded in 1971 and located in Nathan, Australia, Griffith University is a educational institution that offers students a range of degrees and certifications.

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