Malatya Turgut Ozal University

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Australia, Bundoora


	Fixed Term (3 Years) Full Time Position
	Position based at Melbourne (Bundoora) campus
	Attractive Remuneration Package available
	Champion a strong continuous improvement culture


About the position

This position operates within the Information Services, Enterprise Services Function, directly reporting to the Director, Enterprise Services. With a focus on overseeing four key streams—Digital Services, ServiceNow and SAP, Salesforce, and Enabling Services—the Associate Director will lead a dynamic team dedicated to ensuring the delivery, functionality, and security of enterprise applications critical for the university's operations.

Skills and Experience

To be considered for this position, you will have:


	Extensive knowledge of IT and data governance frameworks, standards, and best practices.
	Proficiency in data management, information security, and compliance tools and technologies.
	Strong understanding of regulatory requirements related to data privacy and protection, such as the Australian Privacy Principles (APPs) and GDPR.
	Excellent leadership and management skills, with the ability to inspire and motivate a team.
	Strong analytical and problem-solving abilities, with a focus on practical and effective solutions.
	Exceptional communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.


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-Associate Director, Enterprise Applications - ESMC1 (1) (2).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

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. 

We are now looking for

Two Research Assistants for M.Sc. thesis projects in Machine Learning for 6G subnetworks

In these positions you will have a chance to make an impact by developing novel concepts for managing mobile subnetworks of an umbrella 6G network. In the project you will learn to combine machine learning with 6G wireless networking, being in the forefront in combining two of the most important contemporary technology research trends.

Your role and goals 

You will be working on applying reinforcement learning to manage network resources in sub-networks. There are multiple sub-networks, each independently controlled by a respective agent, with all other subnetworks creating interference to the subnetwork of interest. The topic of the first thesis is autonomous sub-channel selection. The other thesis is on jamming avoidance, where some of the other agents are malicious jammers. The objective is to perform the research leading to an M.Sc. thesis and to write the thesis during the thesis project duration.  

Your network and team 

The positions are in the Communication Theory Research group led by Prof. O. Tirkkonen, at the Department of Information and Communications Engineering of Aalto School of Electrical Engineering. The research group has a long experience in industrially relevant research pushing the boundaries of physical layer wireless communications systems.

Your experience and ambitions 

Required qualifications:


	Studying in  an Aalto engineering M.Sc. program
	Understanding of the fundamentals of wireless communications
	Understanding of the fundamentals of machine learning
	Good analytical, programming and problem-solving skills
	Good written and oral communication skills in English. Finnish language is not required.


What we offer  

You have the possibility to graduate as an M.Sc. in the rapidly progressing field of AI/ML for wireless communications, with cross-domain fertilization guaranteeing both scientific relevance and industrial applicability.

The thesis project duration is six months. The salary of a Master thesis worker is 2500 EUR/month. The planned starting date is Jan 2, 2025. The workplace is at the premises of the department in Otaniemi.

To apply, please share the following application materials with us through our recruitment site ("Apply now!”).


	Brief cover letter (max two pages).
	CV (max four pages) with a list of publications, if any.
	Academic transcripts of your B.Sc and M.Sc. studies


by Dec 8, 2024. We will go through applications, and we may invite suitable candidates to interview already during the application period. You will hear from us the latest in the middle of December 2024.

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). 

For more information regarding the open position, please contact Professor Olav Tirkkonen (olav.tirkkonen@aalto.fi). In any recruitment process related questions, please contact HR Advisor Monika Mäkinen (hr-elec@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/ 

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


Aalto University

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 Kingdom, Newcastle upon Tyne

ABOUT THE ROLE

We are seeking to appoint a highly committed, motivated, and creative scientist to join the Northumbria University bioinformatics research group. The research will develop new data science methods that leverage the large amounts of public data from UKBiobank, dbGAP, and internal Whole Sequence data and use state-of-the-art AI/ML technologies, such as transfer learning, LASSO regression penalty, logistic regression classifier model,  supervised mixture elliptical copula model combining them with Bayesian hierarchical.

The role holder will deliver an integrative 3-step Predictive framework (into a web application): you will firstly model Polygenic risk Scores (PRS) according to individuals’ heritable risk, population genetics, environment-modified, and ancestry-specific components of risk in a Bayesian hierarchical model using priors defined by LASSO regression penalty functions. Secondly, you will refine the Disease Risk Prediction according to the computed individuals’ PRS, clinical parameters, family history of the disease, genetic ancestry, lifestyle, and socio-demographics in a logistic regression classifier model. Thirdly, you will model a supervised mixture elliptical copula model to stratify individuals into optimal groups according to the predicted risk. 

The researcher will evaluate the portability and transferability of the developed Predictive framework by leveraging large Genome-wide Association Studies (GWAS) data of prostate cancer, Cardiometabolic traits from UKBiobank, dbGAP, as well as joint replacement patient data. The developed predictive framework will be deployed into a web application linked to Cloud Computing resources. 

Further information is available in the job description. 

This role is fixed term until November 2026.

Due to the timescales associated with the project and the need to have the appointable candidate in post by 15th December 2024, it will not be possible to consider candidates who do not have a current right to work in the UK.

ABOUT THE TEAM

The role-holder will be based at Northumbria University, City Campus, Newcastle Upon Tyne, Faculty of Health and Life Sciences, Department of Applied Science. You will closely work with the Principal Investigator (Professor Emile R. Chimusa). Travelling and attending subject specialist meetings and national/international conferences will be required. The nature of the post is such that the role-holder is expected to work and attend at the University’s premises such hours as are reasonably necessary for the effective discharge of the duties of the role, within a normal working week of 37 hours. The department has strength in life science research, state-of-the-art multi-omics laboratories that generate data-intensive biological resources, and a strong track record of public and industrial funding (https://www.northumbria.ac.uk/about-us/academic-departments/applied-sciences/).

ABOUT YOU

 To be successful in the role you will have: 


	PhD or soon to be PhD qualified (or equivalent experience) in relevant discipline of bioinformatics, computational biology, genomics data science, statistics genetics, or biological computer science related to genomics/GWAS  
	Good understanding of polygenic risk scores (PRS) analysis, and AI/ML/Bayesian models. 
	Excellent critical programming in Python and R,  and large-scale genomic data analytic skills.
	Ability to develop web applications, and databases (e.g. in PostgreSQL) and handle DevCloud. 
	Experience of working in multidisciplinary teams.
	Authorship in peer-reviewed literature.


There must be a willingness to be flexible with working patterns in line with the demands of the project and to travel if necessary.

Further information is available in the person specification. 

If you would like an informal discussion about the role, please contact ‘emile.chimusa@northumbria.ac.uk’.

To apply for this vacancy please click 'Apply Now'.  Your application should include a covering letter and a CV (including link to your contribution in developing tool, software or databases and 5 publications pertinent to this role).

ABOUT US

Northumbria University is a research-intensive university that unlocks potential for all. We change lives regionally, nationally, and internationally through education and research, tackling the global challenges of our age to transform society and the economy. Find out why we were named Times Higher Education’s University of the Year in 2022 and Modern University of the Year in The Times and Sunday Times Good University Guide 2025.

Northumbria recorded the biggest rise of any UK university for research power in the Research Excellence Framework for the second time in 2021 and is now ranked top 25 in the UK for this measure.

One of the largest universities in the UK with over 37,000 students from more than 140 countries, filled with world-leading research, award-winning partnerships, and students at the heart of an outstanding experience. Discover more about us. 

Northumbria University is a great place to work.  We empower our exceptional people to achieve shared ambitions and promote a positive work life balance.  We offer a wide range of benefits including excellent pension schemes, flexible working, a generous holiday entitlement, continued commitment to your learning and development and more.

Our Northumbria Values are guiding principles that define who we are, what we do and what is important to us. Our Values are: Academic Excellence; Innovation; Inclusivity; Collaboration; and Ambition. 

Our Behaviours describe how we do things and how we work together at Northumbria, reflecting our culture and our decision-making. Our Behaviours are: We listen and learn, we support one another to success, we respect everyone and their contributions, we trust in ourselves and each other and we are bold.

Our Values and Behaviours were co-created by colleagues from a range of roles across the University, who worked collaboratively to consider what it feels like to work for Northumbria, and where we need to continue to transform together to achieve what’s important to us.

Please visit Our Values and Behaviours page to find out more.

We are an on-campus organisation where colleagues work regular patterns of hours and on campus, with some flexibility on the timing of their hours and the location of their work in discussion with their manager. Our campus locations include our City and Coach Lane Campuses in Newcastle upon Tyne and our London campus.

Northumbria University is committed to creating an inclusive culture where we take pride in, and value, the diversity of our staff. We encourage and welcome applications from all members of the community. The University holds bronze Athena Swan and Race Equality Charter awards in recognition of our commitment to advancing gender and race equality, we are a Disability Confident Leader and are participating in the Stonewall Diversity Champion Programme. We also hold the HR Excellence in Research award for implementing the concordat supporting the career Development of Researchers and are members of the Euraxess initiative to deliver information and support to professional researchers. The University has implemented a range of flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process.    

We are committed to keeping your data safe so it's important for you to know how we use any personal data you give us. For more detailed information, access our Privacy Policy


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