Gift University

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Australia, Bundoora


	Continuing, Full Time Position
	Position based at Melbourne (Bundoora) campus
	Attractive Remuneration Package available
	Champion a strong continuous improvement culture


About the position

The Solution Architect - Cloud, Infrastructure & Networks is responsible for designing and managing the University’s on-premise and cloud infrastructure, platforms, security, and network architecture. This role establishes standards and patterns, promotes cloud adoption, infrastructure optimisation, and ensures robust network security. By enforcing architecture principles and best practices, it ensures seamless integration, scalability, and reliability of all infrastructure services, providing secure and efficient solutions to meet the University’s current and future needs.

Skills and Experience

To be considered for this position, you will have:


	Demonstrated experience and expertise in the management of significant human and material resources, or postgraduate qualifications and extensive relevant experience, or experience and expertise in the provision of strategic policy advice affecting the direction of the University, or an equivalent alternate combination of relevant knowledge, training and/or experience.
	Demonstrated high level of theoretical and applied knowledge in professional area of expertise.
	Excellent interpersonal skills and demonstrated experience in liaising with staff at all levels of an organisation, negotiating effective outcomes, consultation and facilitation of group discussions.


Please refer to the Position Description for other duties, skills and experience required for this position.

Welcome to Bundoora campus – Please click on the video link below:  

https://f.io/KDo0ceng

How to apply

Closing date: 11:55pm Sunday 1st December 2024

Recruitment Enquiries: recruitment@latrobe.edu.au

Position Description below:

PD-Solution Architect - Cloud, Infrastructure & Networks.pdf

Only candidates with Full Working Rights in Australia may apply for this position.

Please submit an online application ONLY and include the following documents:


	Cover letter;
	An up to date resume


Please scroll down to apply.

Aboriginal and Torres Strait Islander Applicants 
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

All La Trobe University employees are bound by the Working with Children Act 2005.  If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.




La Trobe University

Australia

HEO6 $89,383 to $96,550 per annum plus an employer contribution of 17% superannuation applies.

Fixed term until 31st December 2025 full-time hours, available immediately.

Learn more about the role

An exciting opportunity is available for a HE06 Senior Talent Acquisition Officer that is passionate and customer-centric in their approach to talent acquisition to join our team. Our goal is for the University of Adelaide to be a Magnet for Talent; and this role is an important contributor in us working together to achieve that.

Based in the CBD, our Talent Acquisition Team partners with a wide variety of stakeholders at all levels across our many academic, research & professional specialist areas in recruiting for the University of Adelaide. Where else can you be part of a dynamic talent acquisition team recruiting for roles as diverse as Veterinary Nurses, Financial Accountants, Cancer Researchers, Lecturers, Institute Directors, to give you just a few examples. No two days are the same!

Learn more about our HR team

The HR Branch is within the Division of University Operations and serves a client base of approximately 8,000 staff and 2,700 titleholders, across all campuses of the University.

The aspiration of Human Resources (HR) is to partner with the University to enable and support a culture of high engagement, commitment and performance by staff through relevant policies and frameworks; context-specific capability development and coaching; and efficient, timely, consistent and fit for purpose advice and services across the full scope of HR functions.

To be successful you will need:


	Demonstrated knowledge and experience in developing and implementing talent acquisition activities in a complex environment with competing priorities.
	Demonstrated experience and user support in utilising recruitment systems, tools and applicant tracking systems and in supporting other users to be able to access and action tasks
	Demonstrated high level interpersonal skills to enable effective communication across a large and complex organization with a diverse range of clients.
	An understanding of relevant employee relations and industrial relations legislation, as it relates to talent acquisition, and an ability to apply this knowledge.
	Demonstrated ability to build relationships and a commitment to providing excellent customer service.
	Demonstrated ability to understand and interpret recruitment policy and relate it to recruitment activities.
	Demonstrated ability to promote the organisational values of integrity, respect, collegiality, excellence and discovery, and a commitment to positively comply with the associated behaviour expectations.


What makes a career at the University of Adelaide truly rewarding

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you vast scope and opportunity for a long, fulfilling career.

Our commitment to being a Magnet for Talent, ensures you will be surrounded by innovative colleagues - many world-leading. The work our team contributes to is cutting-edge across the full spectrum of human endeavour, providing a constant source of inspiration.

Our culture is one that is inclusive for all and embraces diversity, and our values of integrity, respect, collegiality, excellence and discovery are at the heart of all we do. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff. We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life.

In addition, we offer a wide range of attractive staff benefits. These include salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

How to Apply:

Please ensure you submit a resume and cover letter addressing your suitability and experience for the role as detailed in the position description.

Click on the link below to view the position description:

Applications close Sunday 1st of December 11.55pm

For further information

For a confidential discussion regarding this position, contact:

Kate Graney
Team Manager, Talent Acquisition
kate.graney@adelaide.edu.au

The University of Adelaide is an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application.


The University of Adelaide

United Kingdom, Southampton

Research Fellow: Machine Learning for Early Diagnosis of Dementia

Opening exists for a post-doctoral researcher position on a UKRI funded project, Holistic Optical Biomarkers For Early Differential Dementia Diagnosis (HOpE). You will join an inter-disciplinary team of computational scientists, clinical experts and molecular biologists in developing novel computational algorithms for pattern recognition with Raman spectroscopy data. Techniques to be explored include classic statistical methods including low-rank matrix and tensor factorization and more modern deep learning-based methods with quantifying uncertainty in predictions as a primary goal. The post will be based within the Vision, Learning and Control (VLC) research group in the School of Electronics and Computer Science (ECS), working with the investigator, Professor Mahesan Niranjan.

The University of Southampton has a high profile for research and research-led education. For an early career researcher, we offer an environment with a dynamic research culture, an opportunity to interact with a community of researchers working on advanced topics and excellent high performance computing facilities. There is much activity in the pursuit of difficult inter-disciplinary problems, particularly at the computing-health and computing-biology interfaces, of which this project is an example. The rich environment of research in this area is largely facilitated by the Institute for Life Sciences.

The VLC group in which this project is based consists of 20 academic staff and over 30 post-graduate researchers working on various algorithmic and applied topics in Machine Learning, Computer Vision and Control Systems. We maintain a vibrant research environment via a regular seminar series, weekly journal club and occasional informal discussions, and the group works more as a community of scholars than a collection of researchers. Staff in the group teach courses spanning a range of topics in modern Machine Learning: architectures, algorithms and a range of applications, and the appointee will be able to take advantage of these both by attending specific topics and by helping with teaching.

Other benefits of the position include a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidized health and fitness facilities on-site; cycle to work scheme; and a range of discounts.

For an informal discussion on any specific questions about the position, applicants may contact Professor Mahesan Niranjan mn@ecs.soton.ac.uk.

*Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.


University of Southampton

United Arab Emirates, Abu Dhabi

Description

The S.M.A.R.T. Construction Research Group in the Division of Engineering at New York University Abu Dhabi (NYUAD) seeks to recruit a post-doctoral associate to work on automation and information technologies applied to construction and civil infrastructure. The successful applicant will lead fascinating projects focusing on the development of innovative ways to automate (including the use of robotic systems) the building, operation, inspection, retrofit, and repair of construction projects, coupled with the application of artificial intelligence and new technologies. The objectives include increasing quality and safety and reducing construction time and costs (i.e., increasing productivity). Automation is mostly intended to be done onsite using autonomous and mobile robotic systems with applicable sensors, controls, and algorithms. The post-doctoral associate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. The selected post-doctoral associate is expected to continuously document research progress in the form of scientific publications to be submitted to top journals in our field.

About the S.M.A.R.T. Construction Research Group

The S.M.A.R.T. Construction Research Group is a dynamic and interdisciplinary research group led by Prof. Borja García de Soto. The core topics of the S.M.A.R.T. Construction Research Group are Sustainable and resilient construction, Modularization and lean construction, Artificial intelligence, Robotic systems and automation, Technology integration and information modeling.

Qualifications

Applicants must have received a Ph.D. in civil engineering, mechanical engineering, computer engineering, computer science, or a related field, and should have research experience in the areas of construction automation, building information modeling, automation/robotics, and computational design methods. Candidates are expected to have extensive and strong knowledge of Robot Operating System (ROS) and programming ability and experience in robotic applications in real and simulated (e.g., Gazebo) environments. Experience in the application of robotics to construction, as well as building information modeling (BIM), will be an advantage. Candidates with excellent interpersonal and communications skills in English, problem-solving, the ability to work in multi-disciplinary teams, scientific creativity, and decision-making abilities are preferred.

Application Instructions

Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae with full publication list, statement of research interests, and at least three reference letters. If you have any questions, please email garcia.de.soto@nyu.edu

About NYUAD

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

Finland

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Process Systems Engineering research group in the Department of Chemical and Metallurgical Engineering  is now looking for a motivated

Doctoral researcher in Process electricification 

Do you enjoy mathematics and want to use your knowledge on chemical processes to create decision-making tools for the future industry? If you are a creative and analytical person and like programming this might be something for you!

We are looking for a doctoral researcher (“PhD student”) to work on the interesting field of energy transition. In particular, we would like to understand how the plans for process electrification could be realized such that the transition of production processes and its environment is both feasible, economic and sustainable. In this work the concepts of chemical engineering, operations research and computer science will meet as you may also need to deploy machine learning to support data analytics and complex decision making processes.

Your role and goals

You will be responsible for conducting research in the area of process electrification, with a specific focus on developing collaborative models on how to link production into energy systems on the planning level. You need to work in the following topics:


	Create models that can embed the dynamics and flexibility of both processes and energy systems (e.g. power grids)
	Implement your models using state-of-the-art optimization solutions
	Analyze the relevance of energy storage options and other energy carriers (e.g. hydrogen)
	Look into the sustainability of various alternatives and embed these into decision making
	Collaborate with experts across school borders to support the topical development


For this specific position, the doctoral candidate will be expected to perform independent research, to collaborate with different groups, to present at scientific conferences, to publish in academic journals, to apply for research funding, to participate in the activities of the research group, and to assist in teaching activities (max 5% of working hours).

Your network and team

This position will be based in the Process Systems Engineering group led by Prof. Iiro Harjunkoski, which focuses on finding solutions on how to design and operate future production systems and supply chains using collaborative models and modern optimization tools, also supported by machine learning. Here, energy and sustainability play a very important role. We also collaborate with other groups to learn more about and support topics such as circularity, hydrogen economy, etc.

The unique competitive edge of the Department of Chemical and Metallurgical Engineering  in the School of Chemical Engineering is based on sustainable utilization of raw materials, designing more efficient processes and developing new materials and products. Our department’s areas of expertise enable sustainable future with high performance products and processes in circular economy and bioeconomy. The department is in a key position in research of chemical engineering, materials technology, metals processing, efficient energy technologies and digitalization of these. Our core competences include unit operations and processes in chemical engineering, hydro- and pyro-metallurgy, catalyst and polymeric materials, novel catalytic process, process control and process systems engineering.

Your experience and ambitions

We are looking for highly motivated candidates with previous experience in:


	Computer-aided decision making
	Mathematical modeling and optimization
	Experience or interest in artificial intelligence / machine learning
	Good programming skills, e.g. Python or equivalent
	Supply chain planning of chemical processes, energy systems or in another relevant area


The experience should be demonstrated by evidence of success in related studies, and ideally also by some publication record. Other merits demonstrating suitability for a doctoral researcher position can also be considered.

Experience in writing research proposals for funding acquisition is an asset. Candidates should have an initiative-taking approach, should pay attention to details and have high aptitude in continuous learning, and experience or ambition to co-operate with industry. Candidates should hold or shortly receive a master’s degree with good grades in a relevant field (Chemical engineering, Process Systems Engineering, Energy or Electrical engineering, Industrial engineering).

What we offer 

Aalto University offers an excellent environment for driving and realizing your own research ideas, contribute to a sustainable future, stay at the forefront of research and networking by interacting with companies and other schools.

The starting date is 1.2.2025 or as mutually agreed. The first employment contract is made for one year, during which you will apply for the study right in doctoral studies at Aalto University School of Chemical Engineering. Please check the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-chemical-engineering. Please pay attention to the mandatory skill level in English. Doctoral studies at Aalto University take approximately four years.

The starting salary for a doctoral researcher is 3000 EUR/month, and will increase over time according to the salary system of Aalto University.

We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the recently opened metro line.

Join us!

If you want to join our community, please submit your application no later than 24.11.2024, in English through our online recruitment system by using the link ("Apply Now") on Aalto University's web page.  Please note that we only accept applications via Workday.

Please including the following attachments mentioned below, in English:


	Motivation letter with a short description of your research interest. Please include the applicant’s contact information and an indication of the preferred starting date (max. 1 page)
	CV including details of all academic merits (including publications, if applicable), and contact information of two persons who may be contacted to provide a character reference (max. 3 pages)
	Summary of the applicant’s master’s thesis (max. 1 page)
	Copy of the applicant’s master’s degree certificate and a transcript of studies (with a clear explanation of the grading scale)


Please note that the position will be filled as soon as a suitable candidate is identified.

For additional information, kindly contact Prof. Iiro Harjunkoski, iiro.harjunkoski@aalto.fi.

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto

Check out our new virtual campus experience: https://virtualtour.aalto.fi/

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/for-international-staff.

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


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