GMR Institute of Technology

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Australia, Clayton

Job No.: 670008

Location: Clayton campus

Employment Type: Full-time

Duration: Continuing appointment

Remuneration: $114,951 - $136,505 pa Level B / $140,812 - $162,366 pa Level C (plus 17% employer superannuation)


	Amplify your impact at a world top 50 University
	Join our inclusive, collaborative community
	Be surrounded by extraordinary ideas - and the people who discover them


Actuarial Science is a well-established discipline within the Department of Econometrics and Business Statistics at the Monash Business School, offering comprehensive undergraduate, honours, and postgraduate programs. The department plays an active role in the open-source software movement, including contributions to the R Foundation. Our extensive engagement with industry ensures that we maintain a cutting-edge, practical focus that prepares our students for dynamic careers.?

The Opportunity

Join the pinnacle of academic excellence at Monash Business School and help propel your career in academia. The Department of Econometrics & Business Statistics at Monash University is a global powerhouse with a dynamic team of approximately 50 leading academics and a similar number of PhD students, all with particular strengths in Actuarial Science, Business Analytics and Econometrics. According to the University of Nebraska Global Research Rankings Business School Actuarial Science Rankings, over the last two years we have improved our world ranking from 36th (based on 2016-2020) to 7th (based on 2000-2024) and our national ranking from 5th to 4th.

The Role:

The department is introducing a new specialisation within the Bachelor of Actuarial Science entitled Actuarial Analytics. Preference will be given to candidates conducting data-driven applied research in actuarial science, with expertise in areas such as applied statistics, data science, or machine learning as they relate to actuarial science. Candidates should be prepared to teach across both Actuarial Science and Business Analytics units/subjects, as required.

Key Responsibilities:


	Conduct high quality and impactful research
	Prepare and deliver lectures, workshops, and seminars Supervise and engage with honours or postgraduate students
	Attend departmental, school, and/or faculty meetings
	Fulfil committee responsibilities


About You

For the Level B Lecturer Role:


	Qualifications: A doctoral qualification in actuarial science or a closely related discipline (or be close to completing such a doctorate)
	Research Prowess: Showcase a robust research background with a commitment to top-tier journal publications
	People Skills: Possess a high level of interpersonal skills, motivating and actively engaging with students at a tertiary level


For the Level C Senior Lecturer Role:


	Credentials: A doctoral qualification in actuarial science or a closely related discipline
	Scholarly Impact: Demonstrate evidence of high-quality scholarly activity, including publications in top-quality journals
	Innovator: Proven track record of obtaining significant external grants for research, coupled with enthusiasm for curriculum development


About Monash University

At?Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen.

We value difference and?diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an?inclusive and respectful workplace culture where everyone is supported to succeed.

Together with our?commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.

Learn more about Monash.

Be part of our story. Work with us to?#ChangeIt.

Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.

To Apply

Your application must address the Key Selection Criteria. For further instructions on how to apply, please refer to 'How to apply for Monash Jobs'.?

We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.

We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion.

Your employment is contingent upon the satisfactory completion of all pre-employment and background checks required for the role, as determined by the University.

Enquiries:?Professor George Athanasopoulos, Head of the Department of Econometrics and Business Statistics, Econometrics & Business Statistics, BusEco-EBS.HOD@monash.edu?

Position Description:

Level B - Lecturer - Actuarial Science

Level C - Senior Lecturer – Actuarial Science

Applications Close:?Sunday?19 January 2025, 11:55pm AEDT


Monash University

Australia, Adelaide


	Based in the UniSA Allied Health and Human Performance unit at the City West campus
	Part-time (0.8 FTE), fixed term contract until 15 January 2027
	Salary: $100,322 - $133,388 (pro rata) per annum (plus 17% superannuation)


About the Role

The Research Associate or Fellow will investigate the roles of human endogenous retrovirus (part of human genome sequences) on motor neuron disease. In this position, you will conduct research activities primarily through statistical genetic analysis of large-scale multi-omics data on motor neuron disease. This position will offer the opportunity to work at all levels of research from establishing research questions through to publishing high quality research outputs.

About UniSA

The?University of South Australia?is Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity.

Allied Health and Human Performance

At?UniSA Allied Health and Human Performance, we shape community wellbeing by educating future health professionals, producing graduates who contribute to the future health workforce. We deliver solutions-based research that addresses global health needs, working with industry and the community to solve critical health challenges.?

Core Responsibilities


	Contribute to research planning by participating in sessions, offering ideas, reviewing literature, writing papers, and attending seminars
	Contribute to research execution by managing and analysing data, exploring new methods, seeking information from various sources, and assessing resource requirements
	Contribute to disseminating knowledge by drafting reports and papers, and attending meetings and conferences
	Contribute to the preparation and development of grant and tender applications, including undertaking power calculations, literature searchers, and other tasks as required
	Contribute to the supervision of Honours, Masters and PhD students, as required


Essential Skills and Experience??

Level ARAS?


	Postgraduate qualifications in a relevant field (e.g., quantitative genetics, statistics, bioinformatics, computer programming, epidemiology)
	Knowledge and understanding of statistical genetics and experience with the analysis of complex traits
	Experience in computer programming, including working with databases and handling large data files
	A developing research record demonstrated by publications, conference papers, and other research activities
	Strong verbal and written communication skills, with the ability to present information clearly to diverse?audiences and work collaboratively in a multidisciplinary team


Level BRF


	PhD in a relevant field (e.g., quantitative genetics, statistics, bioinformatics, computer programming, epidemiology) with postdoctoral research experience
	Demonstrated knowledge and extensive experience in statistical genetics and the analysis of complex traits
	Proficiency in computer programming, including database communication and handling large data files
	An evolving research record with publications, conference papers, and other research activities
	Strong verbal and written communication skills, with experience in presenting information to diverse audiences and working collaboratively in multidisciplinary teams, alongside high-level problem-solving and organizational abilities


Benefits

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as:


	Generous superannuation contributions of 17%
	Flexible working conditions
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	Various on-site services available at our campuses which may include on-site gym membership


Culture

At the?University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.??

Start Your Unstoppable Career!??

For a copy of the position description and to apply, please visit?Working at UniSA. The online application form will list the specific selection criteria that you need to address.??

Please address your cover letter to?Laura Gomes, Consultant: Recruitment Central.?For further?information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at?recruitment@unisa.edu.au?using job reference number?6854.?

Applications close: 11:30pm?Sunday 12 January 2025

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on?recruitment@unisa.edu.au. Anything you tell us will be kept completely confidential.??

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.?

CLICK HERE for Position DescriptionOpens in new window

How to apply:a


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please?login?before starting your application
	If you have forgotten your log in details,?click here?to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

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University of South Australia

United Kingdom, London

Location
Docklands Campus

Salary
?45,579 to ?50,643 per annum inclusive of London Weighting

Post Type
Full Time

Post Type
Permanent

Closing Date
Monday 13 January 2025

Reference
3003-24-PS

Are you an experienced CRM professional with expertise in Microsoft Dynamics 365? Are you passionate about driving data quality and supporting business needs? Are you looking for a challenging role in an environment that is vibrant, diverse and welcomes new ideas?

If so, join the University of East London as our CRM Business Support Specialist and help us enhance the student experience through cutting-edge technology.

?About the Job

In this pivotal role, you’ll provide technical expertise and strategic support for the University’s Microsoft Dynamics 365 CRM platform, ensuring high-quality data standards and seamless functionality to drive impactful, data-driven decisions.

?You will work closely with teams across the University to optimise CRM use, safeguard data quality, and play a crucial role in the successful delivery and maintenance of the CRM’s various data integrations.

?As a data expert, you’ll collaborate with technical teams, mentor junior staff, and represent CRM in senior stakeholder meetings, ensuring the platform continues to meet the evolving needs of the university.

?UEL’s CRM (Dynamics 365) delivers end to end communications and customer service across the student journey, from initial enquiry to alumni membership. As CRM Business Support Specialist, you will need to work confidently across multiple areas of our large CRM system, collaborating closely with various departments across the university to ensure you provide best practice and support for the entire student data lifecycle.

About You

To succeed in this role, you’ll need substantial experience managing technical and data aspects of Microsoft Dynamics 365 CRM. Proficiency in Power BI, SSIS (SQL Server Integration Services), SQL, and Visual Studio (SSDT). A strong knowledge of Microsoft Power Platform, including Power Automate and Power BI and proven ability to translate business needs into actionable CRM solutions.?

University of East London

Founded in 1898, we at the University of East London (UEL) are proud to change lives through education. Year 6 of its transformational 10-year?Vision 2028? led by our Vice-Chancellor & President, Professor Amanda Broderick. Our goal is to advance industry careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future.

But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo.

Benefits Package

Here are our amazing benefits: https://uel.ac.uk/benefits-professional-services-positions

At UEL we care deeply about your wellbeing and understand it’s about more than just a salary. It’s about the entire package on offer along with our outstanding work environment and inclusive culture. We know the market rates for this vacancy and will offer a genuinely competitive salary DOE

?Equal Opportunities

UEL is an inclusive equal opportunities employer and are proud of our Equality, Diversity, and Inclusivity achievements, including: zero gender pay gap, members of Stonewall and have won Athena Swan awards. We expect all employees of UEL to accept our EDI policy and will not tolerate discrimination in any form.

So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and committed to success, we want you to apply today!

Further Details

Job Description & Person Specification

To contact the recruitment team please phone?+44 20 8223 3000?x 4600 or e-mail?hrhub@uel.ac.uk

CVs without a completed application form will not be accepted.

At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.


University of East London

Germany, Bremen

Constructor University (formerly Jacobs University) is a private, state-accredited, English-language university in Bremen. We offer Bachelor, Master, and PhD programs in three schools: School of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and transdisciplinary cooperation. According to the 2024 Times Higher Education (色盒直播) World University Rankings, Constructor University is among the top 25 percent out of more than 1900 universities worldwide and is ranked as the second most international university in the world. As an international university, we attract highly talented and open-minded students from all over the world. Currently, over 1,600 students from 110 nations live and study on our residential campus.

The university is currently driving an ambitious expansion of research related to Computer Science, Software Engineering, and Data Science. In this context, a new Assistant Professorship with a focus on Data Science and Machine Learning has been opened in the School of Computer Science and Engineering. Accordingly, Constructor University invites applications from interested candidates for the following position, to be filled ideally by?August 2025:

Assistant Professors of Computer Science (Data Science and Machine Learning) (m/f/d)

(full time; 38.5 hrs./week; tenure track)

Your responsibilities:

You will support our research and teaching activities in the field of Computer Science by establishing an independent research group focusing on research topics related to Data Science and Machine Learning, including but not limited to deep learning algorithms, predictive analytics, and big data technologies. Possible areas of interest are:


	Neural networks and cognitive computing
	Data mining and predictive modeling
	Statistical learning and optimization


The successful candidate is expected to support teaching in Computer Science at Bachelor and Master level (for example, courses like "Machine Learning," “Deep Learning”, "Statistics and Data Analytics," "Recommender Systems"); as well as develop and implement innovative, pedagogically sound approaches to online, hybrid and in-person teaching and learning; advise students on their studies; and supervise Bachelor, Master’s and PhD theses and research projects.

The university is highly supportive of junior faculty, providing both formal and informal mentoring, administrative support, as well as a flexible budget for establishing an internationally visible research group. Several opportunities exist to develop transdisciplinary research projects in collaboration with other research groups or our industrial partners.

Your qualifications:


	PhD degree in Computer Science or a related discipline
	Strong publication record related to Data Science and Machine Learning
	Experience and success in teaching in the context of international and diverse environments
	Demonstrable interest in innovative teaching and learning approaches
	Experience in transferring research knowledge to solving problems in engineering and science
	Responsible, self-motivated person able to work independently and as a part of a team
	Excellent verbal and written communication skills
	Intercultural experience and competence
	Fluency in English, the language of instruction and communication on campus


What you can expect at Constructor University:

Constructor University unequivocally guarantees the academic freedom of every member of the faculty, as well as every other member of the Constructor University community. We encourage diversity in the University in ethnic, cultural, social, religious, political, and national backgrounds, as well as in individual lifestyle. Constructor University offers full equality of opportunity to all qualified applicants and is an equal opportunity employer.

Constructor University consistently achieves top results in national and international university rankings.

In the CHE Ranking, the most comprehensive and detailed ranking of the German-speaking higher education landscape, Constructor University has achieved top placements every year since its first participation in 2005.


	Flexible working hours for work-life balance
	Option for remote work
	Individual onboarding, support, and development planning
	Corporate fitness with EGYM Well Pass (formerly Qualitrain)
	In collaboration with Deutsche Dienstrad – Lease a company bike, whether it's a bicycle, road bike, or e-bike, for both private and business use.
	Green campus with recreational areas and extensive dining options
	Constructor University has comprehensive sustainability and environmental programs


Your application:

For any further information regarding this position, please contact Prof. Alexander Omelchenko, via Mail (omelchenko@constructor.university) or?job-application@constructor.university.

Apply today - it's simple and uncomplicated. We look forward to getting to know you. The deadline for applications is January 21st, 2025.

Please upload your documents in a?single PDF document, including a?letter of motivation?stating your field of expertise,?curriculum vitae,?teaching portfolio?and?publication record,?copies of certificates?and?diplomas,?certification?of?English proficiency?(optional), and the?names?and?addresses?of two?referees?in our application management system. In order to do so, click on the Apply Button and proceed through the individual steps to complete your application.

https://constructoruniversity.wd103.myworkdayjobs.com/en-US/Careers/job/Assistant-Professors-of-Computer-Science--Data-Science-and-Machine-Learning----m-f-d-_JR100158

The offered position is tenure track, with review of performance after a first contract of three and a second contract after another three years. Successful evaluation leads to permanence and typically promotion to associate professor level.

The review of applications will begin immediately. Please note that only applications submitted through the official application portal will be considered for recognition.


Jacobs University

Singapore

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.?

The researcher will be part of the team of the MCCS Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%201st%20Grant%20Call). The Research Engineer will focus on hydrodynamic analysis, finite element modeling, and stability assessment for modular floating structures. Responsibilities include designing and evaluating system performance through simulations, conducting site test-bedding to validate designs, and collecting and analyzing in-situ data. The role also involves preparing technical reports, collaborating with multidisciplinary teams, and staying updated with advancements in the field. This position requires expertise in hydrodynamics, FEM, stability modeling, and a hands-on approach to field testing and reporting.

Key Responsibilities


	
	Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
	


Undertake these responsibilities in the project:

1. Hydrodynamic Analysis:


	Perform advanced hydrodynamic simulations to evaluate the behavior of modular floating structures under varying environmental conditions, such as waves, currents, and wind.
	Develop models to assess the dynamic response and interactions between floating modules.


2. Finite Element Modeling (FEM):


	Utilize FEM software to analyze structural integrity and stress distribution of modular floating units under operational and extreme conditions.
	Optimize design configurations to enhance performance and durability.


3. Stability and Mooring System Design:


	Conduct stability analysis to ensure compliance with safety and regulatory standards.
	Design and evaluate mooring systems for maintaining structural stability in varying site conditions.


4. Site Test-Bedding:


	Oversee test-bedding activities at project sites to validate simulation results and design parameters.
	Collaborate with site teams to set up experiments, deploy instruments, and monitor operations.


5. Data Collection and Analysis:


	Develop methodologies for in-situ data collection on environmental forces, structural responses, and system performance.
	Analyze collected data to validate models, identify trends, and propose improvements.


6. Research Documentation and Dissemination:


	Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders.
	Contribute to project proposals and progress updates for funding agencies.
	Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.


7. Project Management Support:


	Ensure timely execution of project milestones
	Coordinate with external collaborators and manage data-sharing protocols.
	Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.


Job Requirements


	Masters in Naval Architecture, Ocean Engineering, Civil Engineering, or related field.
	Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS).
	Experience with stability and mooring system design.
	Strong analytical skills and familiarity with data collection instruments and techniques.
	Excellent communication and report-writing abilities.
	Ability to work independently and in teams in both lab and field environments.
	Excellent communication (verbal and written) and teamwork abilities


Key Competencies


	Able to build and maintain strong working relationships with people within and external to the university.
	Self-directed learner who believes in continuous learning and development
	Proficient in technical writing and presentation
	Possess strong analytical and critical thinking skills
	Show strong initiative and take ownership of work



色盒直播

GMR Institute of Technology

About

Rankings

World University Rankings 20251501+

Impact Rankings

Impact Rankings 20241001-1500^th

No Poverty 2023401-600^th

Zero Hunger 2023401-600^th

Clean Water and Sanitation 2024301-400^th

Affordable and Clean Energy 2024401-600^th

Industry, Innovation and Infrastructure 2024801-1000^th

Sustainable Cities and Communities 2024601-800^th

Responsible Consumption and Production 2024401-600^th

Climate Action 2024401-600^th

Partnership for the Goals 20241001-1500^th

Discover similar universities

Key Student Statistics

Company

Legal

色盒直播

GMR Institute of Technology

About

Rankings

Impact Rankings

Impact Rankings 20241001-1500th

No Poverty 2023401-600th

Zero Hunger 2023401-600th

Clean Water and Sanitation 2024301-400th

Affordable and Clean Energy 2024401-600th

Industry, Innovation and Infrastructure 2024801-1000th

Sustainable Cities and Communities 2024601-800th

Responsible Consumption and Production 2024401-600th

Climate Action 2024401-600th

Partnership for the Goals 20241001-1500th

Discover similar universities

Key Student Statistics

Impact Rankings 20241001-1500^th

No Poverty 2023401-600^th

Zero Hunger 2023401-600^th

Clean Water and Sanitation 2024301-400^th

Affordable and Clean Energy 2024401-600^th

Industry, Innovation and Infrastructure 2024801-1000^th

Sustainable Cities and Communities 2024601-800^th

Responsible Consumption and Production 2024401-600^th

Climate Action 2024401-600^th

Partnership for the Goals 20241001-1500^th