The Australian National University is seeking to recruit a full time Research Fellow in the areas of 3D Computer Vision and Deep Learning to join the ANU computer vision and machine learning research group. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break or who have achieved excellence in careers outside of academia.
You will be responsible for developing new approaches for camera localisation and 3D computer vision algorithms and implementing and evaluating practical systems targeting at augmented reality and/or autonomous driving applications. You will have an outstanding opportunity to work in one of the world's top computer vision and machine learning groups on the exciting new topics of 3D reconstruction and deep learning. You will be working with a collaborative team of world leading academics, early career researchers and outstanding PhD students. Specific duties required of a Level B Academic may include: 1. Undertake high impact collaborative and cross-disciplinary research that generates creative works and a body of unique intellectual knowledge as relevant to the Activity Cluster, School, and College. 2. Contribute to the educational activities of the Activity Cluster and School. This includes, but is not limited to, the preparation and delivery of lectures, tutorials, short courses and workshops; the preparation and delivery of professional and executive education courses; the preparation of online material; marking and assessment; and consultations with students. This also includes, but is not limited to, supervision of research students and coursework students working on individual or group projects at undergraduate, honours, and graduate levels. 3. Take an active role in seeking and generating resources to support the development of deep and transformational expertise in fields relevant to the Activity Cluster, School and College. Achieve impact through engagement with a range of stakeholders and / or funding bodies and also through the preparation of research proposals. 4. Provide support to the engagement and impact activities of the School, with the aim to engage and activate a stakeholder community in academia / industry / start-ups / government / broader community, including communicating or publishing original, innovative and multi-disciplinary results in international refereed journals, academic seminars, national and international conferences, or appropriate fora for the field, and collaborate with other researchers at an international level. Also, assisting in outreach activities including to prospective students, research institutes, industry, government, the media and the general public. 5. Supervise less-senior academic and research staff, as appropriate. 6. Maintain high academic standards and collegiality in all education, research, impact, engagement and administration endeavours of the School, College, and University. 7. Contribute broadly to all aspects of the operation of the School, College and University. 8. Take responsibility for workplace health and safety and not wilfully place at risk the health and safety of another person in the workplace. 9. Other duties as required consistent with the classification level of the position.
You should possess a recent PhD degree, or be near completion, in 3D computer vision, machine learning, or a relevant subject, together with a strong publication record, relative to opportunity, at primer computer vision, machine learning, or robotics conferences (CVPR, ICCV, ECCV, NeurlPS, ICLR, ICRA, RSS). SELECTION CRITERIA The breadth and depth of this role are illustrated in the following selection criteria. While candidates should ideally meet all selection criteria, the School of Computing will consider all applications that demonstrate alignment with its missions. 1. A PhD (or awarding of a PhD within six months of appointment commencement) in 3D Computer Vision or related area or equivalent qualifications and experience in a related area, with a track record of independent research in the field of Deep Learning and/or 3D Reconstruction as evidenced by publications in top-tier peerreviewed conferences and journals. 2. Evidence of the ability to articulate and prosecute impactful research in the research field. 3. Strong 3D geometry background and experience in programming in Python, C++ or relevant language and use of standard deep learning software frameworks such as PyTorch or Tensor Flow. 4. An ability and commitment to contribute to bids for competitive external funding to support individual and collaborative research activities. 5. Evidence of the ability and willingness to assist in the supervision of students working on research projects. 6. The ability to work as part of a team and to meet deadlines. 7. Excellent oral and written English language skills and a demonstrated ability to communicate and interact effectively with a variety of staff and students in a cross-disciplinary academic environment and to foster respectful and productive working relationships with staff, students and colleagues at all levels. 8. A demonstrated understanding of equal opportunity principles and policies and a commitment to their application in a university context. Consistent with their relative opportunity to do so, a Level B Academic will have a relevant doctoral qualification or equivalent accreditation and standing together with subsequent research (or R&D) experience. This may not apply to candidates coming from different fields such as industry or government. Once in the role, there will be an expectation of academic excellence, making an outstanding contribution to research and, in this particular position, the ability to collaborate with internal and external stakeholders outside of your domain. A position at this level will require a demonstrated record of research output in academia, industry or government.
Classification: Academic Level B Salary package: $99,809 - $113,165 per annum plus 17% Superannuation Term: Fixed Term, Full time (2 years)
Canberra, ACT HOW TO APPLY All applicants must formally apply online via the ANU recruitment portal (https://jobs.anu.edu.au/cw/en/job/539600/research-fellow) and should upload the following separate documents: • A “curriculum vitae” including a full publication list and the names and contact details of three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. • Statement no more than three pages addressing the selection criteria. • Other documents, if and if requested by the selection committee. Applications which do not address the set of selection criteria may not be considered for the position. Please note the successful applicant must have rights to live and work in this country before commencing the appointment. For further informal inquiry, please contact the Hiring Manager, Professor Hongdong Li, T: +61 2 6125 7708, E: [email protected] Applications close: 12 Apr 2021 11:55:00 PM AUS Eastern Standard Time