Cranfield School of Management

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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 成人VR视频 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 成人VR视频 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:

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Aalto University

Australia, Geelong


	Based at our Geelong, Waurn Ponds Campus
	Part-time 0.6FTE and fixed-term for 2 years
	Level A $76,985 - $103,493 + 17% Superannuation (pro rata, part time)


Who are we?

Deakin University stands as a shining beacon of excellence in the world of higher education.? Deakin is renowned for its unwavering commitment to innovation, research, and inclusivity. With a strong emphasis on cutting-edge research and a diverse, globally-connected community, Deakin provides an unparalleled educational experience. Here, students not only gain knowledge but also develop the skills and mindset needed to thrive in a rapidly evolving world. Discover the thrill of intellectual exploration and let Deakin's passion for learning and innovation ignite your own, as you prepare to shape the future with confidence and purpose.

The Faculty of Health is dedicated to being at the forefront of teaching, learning, creating and social development and fostering cutting-edge research and discovery. The School of Medicine places high emphasis on research that makes a difference and is solution-led. We work closely with industry partners and the government to put findings into practice.

The associate lecturer will contribute academic to the delivery of the anatomy and pathology practical program in the School of Medicine. They will work with other team members to facilitate student learning of anatomy and pathology across the schools’ programs. The appointee will promote the Faculty within the academic and professional communities in Australia, contributing to the Faculty’s teaching and program development initiatives. The appointee will liaise with students at all levels.

As Associate Lecturer in Medical Science, you will:


	Assist in applying discipline knowledge into student learning experiences to support success and engagement.
	Support innovation in curriculum design and deliver learner-centric, research-informed teaching practices across different levels / modes of delivery.
	Maintain deep discipline knowledge which is applied to inform curriculum design.
	Facilitate collaborative learning opportunities for students and provide academic mentoring and support
	Assist course teams in integrating new pedagogical research across all aspects of education.


To be successful, you’ll have: 


	PhD in a relevant discipline and/or other relevant qualifications and experience
	Demonstrated knowledge of anatomy and pathology and its delivery in an educational setting
	Excellent record of scholarly learning and teaching in UG and/or PG programs.
	Demonstrated capacity and passion for teaching, research and facilitation of student learning.
	Demonstrated capacity to provide academic support and guidance to students, ensuring an inclusive and positive learning environment.


Here's how to apply:?

Please submit your updated resume, a short cover letter and responses to the Key Selection Criteria.

For a confidential discussion regarding this role, please contact Janet McLeod, Associate Head of School (Learning and Teaching) on janet.mcleod@deakin.edu.au

Please note, Deakin university is closed for the Christmas period from Monday 23 December 2024 to Wednesday 1 January 2025 inclusive.

For a copy of the position description, please see below:??PD - Associate Lecturer in Medical Science.pdf

Applications for this position close 11.55pm on Monday 20 January 2025.

Why work with us?

At Deakin you will have access to benefits such as a variety of leave options including generous parental leave and the ability to purchase additional leave; flexible working arrangements?to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus.

Are You Ready?

Deakin is a Victorian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community.

We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success.

We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.


Deakin University

United Kingdom, London

Digital Programme Management Office

Location: Greenwich Campus
Salary: ?56,921 to ?65,814 plus ?5400 London weighting per annum
Contract?Type: Permanent
Closing?Date: Sunday 12 January 2025
Interview?Date: To be confirmed
Reference: 4810

Our Information and Library Services Directorate delivers award winning IT services and support, library, academic and digital skills and learning enhancement to staff and students across the university. Our digital mission is to ensure everyone in our community is equipped to effectively use digital services, data and technology with confidence, efficiency and creativity in their learning, teaching, research and organisational support.

To support the “This is Our Time” university strategy and our digital sub-strategy, we are seeking to appoint a dynamic and experienced Senior Project Manager to the Digital Programme Management Office to help deliver projects with an IT focus support.

The successful candidate will be responsible for managing a varied portfolio of projects supporting the delivery of the Digital Strategy as well as championing the cause of project management and providing a ‘centre of excellence service’. This is an exciting time to join the University as we continue to support the University of its 2030 Strategy.

Applicants should possess demonstrable experience of managing a range of complex projects including both infrastructure and development projects and those with Business Change, have exceptional written and verbal communication skills and possess relevant professional certification.

To find out more about our team, visit our?Digital Recruitment?webpage.

For an informal discussion about the post please contact Rayna Lloyd on?ils-admin@greenwich.ac.uk

Should you have any queries please contact the People Directorate Team on?peopleoperationsils@greenwich.ac.uk

We operate a hybrid working policy, as set out in the University’s?Working Principles and Guidelines.

Further details of the fantastic benefits and what we offer can be found here:?Our benefits - what we offer | Jobs and careers | University of Greenwich

To apply, please visit the University of Greenwich vacancies page and complete all details, including the supporting statements (please note attached CVs and personal statements will not be seen by the recruitment panel at the application stage).?Current Vacancies - Jobs at Greenwich

You don’t meet all the requirements?
Studies show that women and Black, Asian and minority ethnic people are less likely to apply for a job unless they meet every criteria. So if you’re excited about this role but your experience doesn’t align perfectly with the job description, we’d love you to still apply. You might just be the person we’re looking for.

Employment Visa:?Under the UK Government Points Based System scheme this role does/does not meet the criteria to be sponsored for a Skilled Worker Route application.

We are looking for people who can help us achieve our?Strategic Plan, through the values we expect for our whole university community, of being Inclusive, Collaborative and Impactful.

The university welcomes people from diverse and underrepresented communities who can help the university to achieve its mission.

We do this through taking positive action such as encouraging applications from Black, Asian and Minority Ethnic, disabled and LGBT+ people. As part of our commitment to?Equality, Diversity and Inclusion, Time to Change Employer Pledge/Mentally Healthy Universities, we are committed to promoting and supporting the physical and mental health of all our staff, and removing barriers to improve inclusion.

We encourage applicants to disclose experience of mental health problems so we can support them fully during our recruitment process and make any necessary reasonable adjustments. Any information disclosed will be kept confidential and separate from the job application form.

We are making significant strides to understand and continuously improve our employees’ experience and we are committed to implementing progressive diversity talent management.


University of Greenwich

Aalto University is where science and art meet technology and business. We shape a sustainable future by sparking the game changers of tomorrow and by creating novel solutions to major global challenges. Our community is made up of 13,000 students, 400 professors and close to 4 500 other staff members working on our vibrant campus in Espoo, Greater Helsinki, Finland. 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 School of Engineering drives?science and?innovation in industrial and built environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems.?The?strength of our school lies in close collaboration with stakeholders across research and education.?The school is home to 700 staff members, including 67 professors. To learn more, please visit?eng.aalto.fi.

Aalto University School of Engineering invites applications for:

Assistant Professor position in concrete technology (tenure track)

We are looking for talented candidates for a full-time Assistant Professor position to work in a vibrant community of students, researchers and experts.

Concrete is one of the most used building materials, thus having an essential role in civil engineering research and education. At Aalto, we want to solve problems related to its climate change impact, researching low-carbon concrete, the durability of concrete structures, the quality of concrete (process and testing), as well as the concreting process and durability in a cold climate. Overall, this tenure track position is focused on concrete as a construction material, not its structural engineering aspects, and therefore the following topics are not relevant for this position: earthquake engineering, 3D printing of concrete, and chloride corrosion.

We are looking for an expert who is prepared to integrate and transform these aspects into high-level scientific research focused on concrete material technology. We particularly invite applications from candidates with expertise on the sustainability of concrete. We value a research portfolio with studies on low-carbon concretes, freeze-thaw resistance and other durability properties of concrete, non-destructive testing methods, or automated testing of concrete.

Your role and experience

Throughout their career, those in the academic tenure track career system are expected to exercise and guide scientific research, to provide related higher academic education, to follow advances in their field, to participate in service to the Aalto University community, and to take part in societal interaction and international collaboration in their field.?

We are looking for a candidate who:


	Has completed a doctoral degree relevant for the position
	Has experimental experience and technical and methodological skills relevant to the field. Complementary theoretical and computational experience is highly appreciated.
	Has potential to carry out research and attract research funding at the highest level
	Has potential to collaborate in an interdisciplinary environment. In this professorship, cooperation with national stakeholders – both industrial and authorities – will be important.
	Has potential to take responsibility for education and researcher training in the field
	Has ability to be an effective teacher in the undergraduate and graduate degree programmes of the School of Engineering
	Fluent command in English, which is the main language of teaching and research at Aalto - Knowledge of the Finnish language, industry and culture is seen as an advantage


Your merits and potential will be appraised based on your position-relevant research of concrete, teaching and academic leadership, and activity in scientific community and society. ?A bibliometric analysis will be conducted for supporting the evaluation of research merits. As the position is opened at Assistant Professor level, the academic evaluation is mainly based on the potential of the candidate.

More information about the Aalto tenure track evaluation criteria

What we offer 


	Research-oriented environment: We have excellent research infrastructure and high-quality laboratories
	Well-resourced learning community: Opportunity to work within a well-resourced learning community, characterized by rigorously selected and highly motivated students.
	Tenure Track position: A tenure track position with promotions based on merits, offering a clear and rewarding career pathway
	Versatile support for your work: Support in applying for external research funding as well as excellent staff trainings and mentoring programs
	Comprehensive benefits package: Includes e.g. free access to health care and campus sport services
	Friendly and diverse community, which genuinely respects diversity and equality
	Excellent collaboration possibilities: Opportunities for excellent collaborations within the university, fostering a rich academic network


Finland is one of the world's most reliable, stable and safe countries and consistently occupies top position in the annual World Happiness Report. Finland offers a safe and healthy environment for living, with excellent state-subsidized services including affordable day care, healthcare, and free schools that are ranked among the best in the world. With significant investments in R&D, a strong innovation culture, open data, and advanced digitalization, Finland is a nation of innovation and entrepreneurship.

The Nordic values of equality and cooperation are deeply rooted in our society. Gender equality, flexibility, and low hierarchy form the core of the Nordic working environment.

For applicants selected for tenure track positions, the university provides relocation support. Aalto University encourages flexible working hours to allow a healthy balance between work and free time. For all new staff members and their families, Aalto University provides dedicated introductory social and cultural events around the year.

The entry salary will be defined according to Aalto University's salary system, taking account of the applicant's experience and qualifications.

More information about living and working in Finland

Take a virtual tour of our campus

Contact details

For additional information, please contact Professor Simo Hostikka at the Department of Civil Engineering, tel. +358 50?447 1582. ?In recruitment process related questions, please contact HR Partner Merja Sepp?nen tel. +358 50 593 7712. Email addresses: firstname.lastname@aalto.fi.

Ready to apply?

The application material for the position includes:


	Cover letter (1-2 pages) addressed to the Dean of the School of Engineering including a summary of merits, most important achievements and motivation for this position and Aalto University
	Curriculum Vitae, including contact information
	Publication list and up to 3 most important publications as a single pdf-document
	Research statement, including a plan for future research at Aalto (maximum 4 pages)
	Teaching statement (maximum 2 pages). In addition, shortlisted candidates can be asked to supplement their applications with a teaching portfolio following the Aalto University guidelines.


All material should be submitted in English and in pdf-format. The application materials will not be returned. Please submit your application online through Aalto University’s electronic recruitment system by using the “Apply now” link no later than February 28th, 2025. Current Aalto-employees should apply through the internal system Workday by using their existing user accounts.

For general instructions and evaluation criteria, including language requirements and guidelines for compiling a CV, please visit Tenure Track.

Aalto University reserves the right for justified reasons to leave the position open and to extend the application period.

More information the Department of Civil Engineering

The Department of Civil Engineering aims to build the sustainable structures of tomorrow through high-quality research, education and collaboration. Our research is backed by extensive facilities and focused on building design and construction as well as mineral-based materials and mechanics. We operate with industry on a number of important topics, including construction management, concrete technology, indoor air technology and geoengineering.

Currently, the department has 15 tenure track professors supported by lecturers, post-doctoral researchers, doctoral students, and technical staff. In total, the number of personnel is about 120. We are located at the vibrant Aalto University campus in Espoo, Finland.

Read more on our website.

Tenure track in Aalto University

The tenure track is open to talented individuals who have excellent potential for a scientific career. Individuals placed on the Aalto University tenure track for professors have the possibility to advance in their career through regular performance assessments, which consider their merits in all areas of their scope of duty. Launched in 2010, the Aalto University tenure track positions have been widely noticed and attracted a large number of international applicants. Aalto University has had the opportunity to recruit top experts as well as young research talents to join the Aalto University community. For more information, visit Tenure Track at Aalto University.

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

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
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instagram.com/aaltouniversity
twitter.com/aaltouniversity


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).


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