Federal University of Technology, Owerri

Times 中国A片

Overview

For Students

For Professionals

Basic information and contact details for Federal University of Technology, Owerri

About Federal University of Technology, Owerri

Contact Federal University of Technology, Owerri

Build your profile to connect with students and professionals around the world

Do you work for this institution?

Select the type of ranking below to see stats

Impact Rankings

About

Rankings

Key stats

Jobs

Subjects

Downloads

FAQs

Suggested universities

New Zealand, Auckland

Job Description


	Seeking a truly collaborative leader in brain research who will engage research, clinical and related communities in a vision for developing a better understanding of the human brain and for improving outcomes for those affected by brain disorders.
	Live and work in New Zealand’s largest, most cosmopolitan and culturally diverse city.


The University of Auckland, Waipapa Taumata Rau, has ambitious and transformative goals to deliver top quality research and impact both locally in the Pacific region and globally.

Join us in the substantive academic position of David Levene Foundation Chair in Brain Research, and apply your leadership to ensure the next horizon of success of the Centre for Brain Research Te Huinga Hinengaro (CBR). The director (appointed on an initial 5-year term) will build on CBR’s success in developing a strong and diverse community of neuroscience scholars who seeking to understand the human brain and to develop and translate therapies and other treatments for those affected by brain disorders.

CBR is one of seven transdisciplinary University Research Centres spanning multiple faculties, disciplines and academic activities and engaged in research with the community.

Established 15 years ago, effective relationships are at the heart of its reputation as a leader in translational brain research, as demonstrated by the philanthropic and community support it values dearly.

Members of the CBR are engaged in internationally recognised research ranging from basic and laboratory science to clinical research and the promotion of population health and research that works with and through engagement with communities, particularly Māori and Pacific communities. Creating stronger ties among scientists, engineers, clinicians, potential industry partners and the community, whilst training the next generation of leaders in the field will be central to the Director’s aspriations for the CBR.

Learn more about CBR’s cutting edge research and world-class facilities, and review the position description?here.

For further information and a confidential conversation, please contact Clare Litten, Manager, Academic Executive Search Service,?c.litten@auckland.ac.nz

Applications must be submitted online, by the closing date of 9 March 2025

Additional Information

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.? For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to?www.equity.auckland.ac.nz

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit?www.equity.auckland.ac.nz


The University of Auckland

Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery.?

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions.?

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,? and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods? that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications.?

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is? February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages).?
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page. ?

Aalto University (53rd in the Times 中国A片 THE ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, 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 Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times 中国A片 subject ranking 2020).

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/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w
Newsletter: http://eepurl.com/gVPBpf

Aalto.fi?

twitter.com/aaltouniversity?
facebook.com/aaltouniversity
instagram.com/aaltouniversity

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

Australia, Bundoora

Director, Strategic Procurement


	Executive position
	3 – 5 year contract
	Strategy Focus and Delivery


The Director, Strategic Procurement is responsible for the success of the procurement function and will work closely with other commercial and business service functions within the Procurement and Business Services (PBS) team.?

Reporting to the Executive Director, Procurement and Business Services, this position will be responsible for ensuring the delivery of quality procurement strategy, governance integrity, commercial best value, and executive quality reporting.

What we are looking for in this role:?


	A strong track record of diverse, high quality, fit for purpose sourcing strategy execution.
	Demonstrated ability to establish and sustain trusted relationships with internal and external stakeholders, extending to senior executives, business unit leaders, and key suppliers.
	Lead, mentor, and develop a team of skilled procurement professionals, fostering a collaborative and high-performance work environment.
	Demonstrated ability to provide strategic insight and detailed inquiry to project, program and portfolio oversight.
	Exceptional engagement and communications skills.?
	Proven capability to prioritise and adapt to deliver outstanding operational and commercial outcomes in a complex environment.
	Achieve best value strategic sourcing outcomes, measured through bottom line benefits, cost avoidance, performance improvements, and sustained business benefit.\


The requirements to succeed, in this role are:


	Significant Strategic Procurement experience and sound knowledge and understanding of contemporary strategic procurement approaches.
	Ability to effectively develop, communicate and present complex business case / procurement strategy proposals.
	Ability to take responsibility for delivery of programs of work that are impactful at an organisational level.
	Demonstrated capacity to collaborate and maintain strong and productive relationships with supply partners, teams, peers and stakeholders at all levels.
	Highly developed consulting, interpersonal, communication (written and oral) and presentation skills.
	Demonstrated capacity for analytical and conceptual thought in the diagnosis of problems and in providing innovative, timely, relevant and practical solutions.
	Strong consultative capability and the ability to consistently offer expert commercial and strategic procurement advice to achieve best value outcomes.
	Develop effective and efficient procurement process, track, measure and report procurement effectiveness.
	Identification of commercial and operational efficiency improvement opportunities. Manage implementation.
	Oversee the financial interface of procurement, ensuring budgetary compliance, and providing regular reports to senior management.


Join Our Team: At La Trobe University, we are committed to fostering a diverse and inclusive workplace where all employees can thrive. If you are passionate about cyber security and driven to make a positive impact in the 中国A片 sector, we want to hear from you.

Welcome to Bundoora campus – Please click on the video link below:? 

https://f.io/KDo0ceng

?Apply Now: To apply for this exciting opportunity, please:

Submit your resume and a cover letter outlining;


	Provide an example on how procurement influenced decisions and strategy to the business and what was the outcome?
	What attracts you to the 中国A片 sector?


(Please note no more than 2 pages.)

Recruitment Enquiries:? Peter Andreopoulos P.Andreopoulos@latrobe.edu.au

Email:??P.Andreopoulos@latrobe.edu.au

Closing date:? By 11:55pm Sunday 19th January 2025

?Position Description below:

50148224 PD Director Strategic Procurement ESMC1.docx

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 Kingdom, Bedford

Faculty or Department:?Faculty of Engineering and Applied Sciences
Based at:?Cranfield Campus, Cranfield, Bedfordshire
Hours of work:?37
Contract type:?Permanent
Salary:?Full time starting salary is normally in the range of: Lecturer: ?48,039 to ?57,797 with potential progression to ?70,000 per annum Senior Lecturer: ?60,099 to ?69,505 per annum with potential progression up to ?85,000 per annum.
Apply by:?24/01/2025

Role Description

We welcome applications for this exciting permanent academic post from passionate Avionic specialists to join our highly successful Centre for Aeronautics Aircraft Design Group who want to make a significant impact in shaping, and the future direction, of our Centre’s portfolio of research, design and consultancy activities in the areas of avionic systems design and integration.

About the Role

You will be responsible for the development and delivery of high-quality teaching at postgraduate level in avionic systems design and integration and world leading research in areas of interest relevant to future aerospace industry requirements. Our academics are supported and encouraged to build their research teams and wider networks through successful research funding applications. The role is challenging and involves planning, integrating and coordinating diverse responsibilities in research, consultancy, project management, teaching and research student supervision.

About You

For this opportunity, we are looking for a suitably qualified and experienced individual, and actively encourage applicants from industry (aerospace) or those with related industry experience who wish to develop their career in an environment which provides a greater degree of personal autonomy with respect to research activities than is commonly found in an industrial environment. Experience of high impact, cross-disciplinary and industrially relevant research will be advantageous. At the Senior Lecturer level, we expect the candidate to provide leadership, such as in course management, business development, preparing large funding bids, acting as a Principal Investigator on large, funded research projects and managing collaborative networks of researchers linked with industry.

You will be educated to doctoral level in a relevant subject or have equivalent extensive industry experience. With a track record and solid experience of R&D related to Avionics design or systems together with evidence of collaborative working with other discipline specialists, you will also have the ability to develop business opportunities and attract income.

With excellent communication & influencing skills, you will ideally have teaching experience at postgraduate level and professional development courses. Highly computer literate, expertise in programming would be ideal.

About Us

As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact?here.

Aerospace is at the heart of Cranfield’s global research airport and is renowned throughout the world for its teaching and research in the fields of aviation and aerospace. Cranfield’s six centres are the powerhouses of our world class research, driving technological and conceptual advances in?aeronautics, propulsion engineering, cyber-physical systems and intelligent automation. Through the strong links with industry built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future and are the only university in Europe with our own airport and runway. Cranfield Aerospace is internationally recognised as the first choice for research and education in all aspects of aerospace including aircraft, drones, urban air mobility and space.? Find out more about our work here?About Aerospace.

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more?here.

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity?Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working?here.

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.

How to apply

For an informal discussion about this opportunity, please contact Prof Howard Smith on?Howard.smith@cranfield.ac.uk

Please do not hesitate to contact us for further details on E:?hrrecruitment@cranfield.ac.uk. Please quote reference number 4983

Closing date for receipt of applications: 24 January 2025

This role may require you to have the ability to obtain UK Security Clearance


Cranfield University

China, Ningbo

Department of Electrical and Electronic Engineering at University of Nottingham Ningbo China is seeking outstanding Research Fellows in Electronic Engineering (OUTSOURCED) to join Industrial Joint-Lab on Smart Mobility and Transportation.

Your Responsibility

The purpose of this role is to conduct cutting-edge research on 5G/6G technologies and their integration with smart transportation systems, with a focus on C-V2X applications.


	Formulating research questions and objectives towards the development of research programme for both the lab and industrial partners. This includes the establishment of methodologies and techniques to effectively conduct research within the specified area.
	Conducting research, which includes developing models, testbeds, conducting experiments, and performing analyses, all while adhering to project deadlines and collaborating seamlessly with team members and partners.
	Demonstrating successful research outputs by publishing in high-impact journals and presenting at top international conferences.
	Identifying opportunities and assisting senior staff members in writing bids for research grant applications at both national and international levels.
	To participate in training and staff development events as trainer or trainee as appropriate.
	To maintain appropriate professional development, expertise and awareness.
	To undertake other tasks and responsibilities as may reasonably be required.


About You


	PhD in relevant subject areas;
	Proven track record in high quality journals and conferences publications;
	Practical experience of applying the specialist skills and techniques required for the role;
	Good oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus.


About Us

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 9,000 in just 20 years.

About Industrial Joint-Lab on Smart Mobility and Transportation

The primary aim of this laboratory is to develop innovative technologies that address the growing complexities and demands of modern urban mobility. Through pioneering research and development, the lab seeks to create solutions that are adaptable, scalable, and capable of improving urban transportation systems.

In close collaboration with industry partners, the laboratory focuses on enhancing traffic safety, efficiency, and sustainability. This includes developing state-of-the-art communication protocols, sensor technologies, and AI-driven decision-making systems that empower smarter mobility infrastructure. A core emphasis lies in advancing autonomous driving technologies and connected autonomous vehicles (CAVs) to enable seamless vehicle-to-everything (V2X) communication.

By integrating these technologies, the lab aims to reduce road accidents, optimise traffic flow, and mitigate congestion in increasingly dense urban environments. The research also explores the deployment of resilient and adaptive systems that can handle real-time data from complex environments, enabling CAVs to make instantaneous and accurate decisions.

Additionally, the lab addresses the broader ecosystem of urban mobility, including eco-friendly solutions and sustainable transportation models that align with smart city initiatives. This comprehensive approach ensures that the technologies developed not only meet current mobility challenges but also anticipate future demands, facilitating safer, greener, and more efficient urban transport networks.

Key Areas:

5G and beyond C-V2X Technologies: Enhance vehicle-to-infrastructure (V2I) communication for road safety, traffic efficiency, and autonomous driving.

Smart Sensors and Autonomous Systems: Develop advanced sensors and AI integration for improved vehicle localisation, obstacle detection, and real-time environmental perception.

Connected and Autonomous Vehicles (CAVs): Advance CAV technologies to optimise traffic management, reduce congestion, and improve road safety.

Sustainable Urban Mobility Solutions: Research eco-friendly transportation, such as electric public transport, to promote sustainable urban mobility.

The target breakthrough includes cutting-edge technologies for smart mobility, including C-V2X communication, smart sensors, and AI-driven autonomous systems. These technologies will reduce traffic congestion, enhance road safety, and support the deployment of autonomous vehicles, contributing to sustainable and efficient urban mobility solutions.

Your Remuneration, Benefits and Support

You will be offered a fixed term outsourced contract initially with effect from February 2025 or as soon as thereafter. We are committed to providing competitive employment packages while supporting the wellbeing of our staff to help them reach their full potential.

How to Apply

Applicants should submit an application via our on-line application system before 17 January 2025. Only on-line applications will be accepted. Referees will be contacted prior to interview and interviews will take place in Ningbo China.

Applications should include but are not limited to the following:


	A cover letter
	An up-to-update CV includes academic and research achievement list
	A Research proposal ?


Enquiries

Informal enquiries regarding the research project may be addressed to Dr C.F. Kwong (Chiew-Foong.Kwong@nottingham.edu.cn) or Dr David Chieng (David.Chieng@nottingham.edu.cn). If you are unable to apply on-line please contact the Human Resources Office, Tel: 86 574 88180000(Ext. 8404).


University of Nottingham Ningbo, China

You may want to explore jobs from other universities which are relevant to you

Jobs you might be interested in

A breakdown of student statistics at Federal University of Technology, Owerri

Key Student Statistics

World University Rankings 2025

Select the type of rankings below to see stats

See below for a range of subjects taught at Federal University of Technology, Owerri

中国A片

Federal University of Technology, Owerri

About

Rankings

World University Rankings 20251501+

Discover similar universities

Key Student Statistics

Company

Legal