Overview of salaries statistics of the profession "International Business Development Manager in "
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Overview of salaries statistics of the profession "International Business Development Manager in "
7 267 A$ Average monthly salary
Average salary in the last 12 months: "International Business Development Manager in "
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Among similar professions in the highest-paid are considered to be New Business Development Manager. According to our website the average salary is 7241 aud. In the second place is Regional Business Development Manager with a salary 7146 aud, and the third - Global Business Development Manager with a salary 7084 aud.
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2021/2022 CSIRO PhD Top-Up Scholarship - National Collections and Marine Infrastructure
CSIRO, Black Mountain, ACT
Are you passionate about a career in research?Want to access CSIRO's world-class facilities and staff?Apply for a CSIRO PhD Top-Up Scholarship now!CSIRO PhD Top-Up Scholarships provide enhanced opportunities in science and engineering for outstanding graduates enrolling in a PhD each year at Australian tertiary institutions as postgraduates. CSIRO PhD Top-Up Scholarships are now being offered in over 30 CSIRO research areas, for funding commencing in financial year 2021-22.CSIRO PhD Top-Up Scholarships are available to postgraduate students who have gained (or expect to gain), first or upper second class honours or equivalent, in relevant research areas. Students must also be in receipt of, or expect to receive, a Research Training Program (RTP) scholarship or an equivalent primary scholarship commencing in 2021 or early 2022. Joint supervision of students by a university and a CSIRO supervisor is required and such joint supervisory arrangements must be consistent with the Higher Degree by Research Regulations of the host university. The students’ research will be co-supervised by CSIRO and university researchers. A CSIRO PhD Top-Up Scholarship is a supplementary award, which adds to the student’s support from a principal scholarship awarded by another body, e.g. RTP scholarship. In all respects recipients of awards will be regarded as students of the University at which they are registered, and all rules relating to degree candidature and the primary award will apply. In particular, recipients will undertake research at CSIRO as a student of the university concerned and will not be employees of CSIRO.Recipients of CSIRO PhD Top-Up Scholarships are generally required to be Australian citizens or permanent residents. However, in fields in which there is a national skill shortage, awards may be awarded to overseas candidates.National Collections and Marine Infrastructure’s goal is to solve Australia’s greatest challenges by leading Australia’s landmark marine and biodiversity infrastructure and carrying out innovative science. For more information please see our website at National Collections and Marine Infrastructure (link).National Collections and Marine Infrastructure is offering a CSIRO PhD Top-Up Scholarship in the following research area:Project Title: Tracing the impacts of climate change on vertebrate reproduction using an epigenomic time-machineProject Details: This project will use novel epigenomic techniques designed for use in degraded museum specimens to study the temporal evolution of gene regulation in reptiles. A focus will be on understanding the epigenomic mechanisms of annually cued traits (such as the onset of reproduction) and the impact of altered climate regimes on these traits over the last 120 years of accelerated change.Contact: For more information on the research project please contact Clare Holleley: Location: Canberra, ACTScholarship: Top-Up Scholarship of $10,000 per annum, plus a learning and development budget of $5,000 over the term of the studentshipReference: 77652EligibilityTo be eligible to apply you must have (or expect to gain):first or upper second-class honours or equivalent in a relevant research area;admission to an Australian University as a PhD student;hold an appropriate visa to study in Australia (if international)*be no further than one year (FTE) into a PhD on commencing at CSIROhold a primary scholarship; for example, a Research Training Program (RTP) scholarship or other primary scholarship of similar valuenot be in receipt of any other Top-Up Scholarshipbe available to commence with CSIRO no later than 30 June 2022a university supervisor who is willing and able to supervise you. * International applicants must have the appropriate immigration approvals to allow them to take up the scholarship. The successful student must be residing in Australia in order to commence their PhD and take up the CSIRO PhD Top-Up Scholarship by no later than 30 June 2022.The successful applicant will be required to obtain and provide a National Police Check or equivalent.Applications will be assessed on:Quality and relevance of student project: The primary assessment criterion for a CSIRO PhD Top-Up Scholarship is the quality and relevance of the project being proposed. The research must be aligned with the advertised priority research area.Academic calibre of the student: The quality of the student is also critical to the assessment of a scholarship and candidates must hold (or expect to gain) a relevant first or upper second class honours (or equivalent) degree from a recognised university.Availability of appropriate university supervision: The relevance of the university supervisor’s research background and their willingness to supervise the student in collaboration with the CSIRO supervisor should also be made clear. How to apply:You will be required to:submit a Resume/CV and Cover Letter (as one document) in the ‘Resume/CV’ field which includes:the reasons why the research project/s you have selected are of interest to you and how your skills/knowledge meet the project requirements;the names and contact details of two academic referees; andan outline of your longer-term career aspirations and how this program will help you achieve them.upload your academic results in the ‘Cover Letter’ field;in the ‘Education’ section, select your university from the Educational Institute list; in the ‘Job-Specific Information’ section, select ‘Not Applicable’ for both Preference 1 and Preference 2; and for the Grade Point Average (GPA), as you are not required to provide this information. If you experience difficulties applying online call 1300 984 220 and someone will be able to assist you. Outside business hours please email: .Diversity and InclusionWe are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. About CSIROAt CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact. Join us and start creating tomorrow today!
Manager, Machine Learning Applied Scientist - Anton van den Hengel
Amazon, Canberra, Any
DESCRIPTION There's never been a more exciting time to join Amazon Australia!Who are we and what do we do?We are a world class ML team based in Adelaide and created in April 2020 with the hire of the Director of Applied Science, Anton van den Hengel.The Amazon ML AU team is developing state-of-the-art large-scale Machine Learning methods and applications involving terabytes of data. We work on applying machine learning, and particularly computer vision, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. We also publish our research in the best venues internationally.The team is high performing, learning-oriented, motivated to over-achieve, have fun, and make history. We also have access to great data, and the best computing infrastructure.About Anton van den HengelAnton was the founding Director of The Australian Institute for Machine Learning (Australia's largest machine learning research group), and is currently the Director of the Centre for Augmented Reasoning and a Professor of Computer Science at the University of Adelaide.With over 18,000 citations and an H-index of 67, Anton is one of the worlds' leading authorities on Computer Vision and ML.About the TeamThe vast majority of the team have PhDs in machine learning (ML) or a related area from some of the best institutions globally, including Oxford, Stanford, Edinburgh, and Imperial College London, and have published in the best places in the field including Science, NeurIPS, IEEE PAMI, and CVPR.The team includes two world-class Principal Scientists and an Amazon Scholar. We value diversity and collaboration to help each other succeed as a team.Where are we based?Although the team is mainly Adelaide based, we support flexible working options blending at home and in office from our offices inAdelaide, Sydney, Melbourne, Canberra or Brisbane.Who are we looking for?We are seeking to add a Manager, ML Applied Science to an already awesome team.The Manager, ML Applied Science role at Amazon will be a technical team leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon's systems using cutting edge quantitative techniques.This is one of the most exciting machine learning job opportunities on the internet today!If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team with a combination of applied scientists and engineers and are long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.What will I be working on?It's fair to say that no two days are alike - so this position suits someone who enjoys variety and problem-solving:• Use machine learning, computer vision, data mining and statistical techniques to create new, scalable solutions for business problems• Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes• Design, develop and evaluate highly innovative models for predictive learning• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation• Research, implement and publish novel machine learning and statistical approachesAdditional InformationWe have a number of current employees who split their time between lecturing at University and working for Amazon. Please let us know if this is of interest to you.We provide full visa sponsorship which is a relatively fast process as we have been successful in obtaining Distinguished Talent visas for this team (typically takes weeks rather than months).Full domestic and international relocation is also provided.About Amazon AustraliaAmazon offers great benefits including a competitive compensation and stock plan. We also look after our people with benefits including: subsidized private health and life insurance, commuter benefits and even an Amazon discount. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.For up to date news covering diversity and inclusion, sustainability and community engagement, please visit: https://www.aboutamazon.com.au/BASIC QUALIFICATIONS • Completed PhD in Machine Learning, Computer Vision, Statistics or in a highly quantitative field• Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, and ACL• 2+ years of experience managing analytics/software teams• 2+ years of technical project management experience• 5+ years of hands-on experience developing and implementing machine learning algorithms and models.• Strong demonstrated skills implementing and deploying large scale machine learning applications and tools.• Communication and data presentation skill• Strong problem solving ability.• Strong Problem solving ability• Good skills in Python (or similar language)• Strong communication and data presentation skillsPREFERRED QUALIFICATIONS • 5+ years post PhD completion experience in predictive modeling and analysis, predictive software development• Experience in Deep Learning• Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications• Experience handling gigabyte and terabyte size datasets• Experience working with retail or e-commerce data• Experience working with distributed systems and grid computingIf our business, culture, and love for research sound like they might be a fit, we'd love to hear from you!!Salary: . Date posted: 10/22/2021 09:27 PM