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Sari Agricultural Sciences and Natural Resources University

Sari Agricultural Sciences and Natural Resources University is located in Sari, in the Mazandaran Province in northern Iran. 
The university can trace its roots back to the College of Agricultural Engineering which was established in 1974. 
It has since expanded the number of faculties and became the university it is today in 2004. 
Today the university is made up of four faculties including agricultural engineering, crop science, animal science and fisheries and natural resources. These faculties are then divided into 18 departments covering a range of courses including plant breeding, forestry, water engineering, agronomy and wood and paper science. 
 

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China, Suzhou

ABOUT XJTLU

In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses.

ABOUT XJTLU

In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses.

With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east.

For detailed information about the university, please visit www.xjtlu.edu.cn.

ABOUT THE INDUSTRIAL INTELLIGENT AGENT RESEARCH CENTER

The Industrial Intelligent Agent Research Center at Xi'an Jiaotong-Liverpool University, aligned with national smart manufacturing strategies, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation & Maintenance Intelligence – System Autonomy," aiming to drive profound transformation in industrial manufacturing by breaking through key technologies in smart equipment, industrial software, and system solutions. The center collaborates closely with industrial giants like Hengtong, Haier, and Bond Tech to create a complete value chain from theoretical innovation to industrial application.

RESEARCH AREAS

Currently, we are seeking candidates from different research areas. The more details can be kindly found as below:

1. Industrial AI Algorithm and Autonomous Decision-Making Systems

RESPONSIBILITIES


	Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances).
	Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes.
	Publish research results in top-tier international conferences and journals, and participate in applying for domestic and international patents.
	Assist in supervising PhD and Master's students, and participate in the center's collaborative projects with industry partners to promote the industrialization of technology.


ESSENTIAL QUALIFICATIONS/EXPERIENCES


	A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field.
	Solid research background and practical experience in one or more of the following areas:
	
		Reinforcement Learning / Deep Reinforcement Learning
		Fine-tuning and Application of Large Language Models
		Time-Series Data Prediction and Modeling
		Intelligent Decision-Making and Optimization Algorithms
	
	
	Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.).
	Strong intellectual curiosity, ability to solve problems independently, and excellent teamwork spirit.
	Outstanding written and oral communication skills in both Chinese and English.


 2. Industrial Digital Twin and Intelligent Control Systems

RESPONSIBILITIES


	Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches.
	Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g., compressors, reaction kettles).
	Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices.
	Work closely with industry partners to validate and optimize the developed technologies in real industrial environments.
	Publish high-quality academic papers and participate in writing research grant proposals.


ESSENTIAL QUALIFICATIONS/EXPERIENCES


	A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field.
	In-depth research experience and solid expertise in one or more of the following areas:
	
		Advanced Process Control and Optimization
		Digital Twin and Modeling & Simulation
		Predictive Maintenance and Fault Diagnosis
		Industrial IoT and Edge Computing
	
	
	Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation.
	Experience with industrial field projects or familiarity with DCS/MES systems is preferred.
	Excellent teamwork and communication skills.


PERSONAL ATTRIBUTES


	Initiative: applicants should demonstrate a proactive and self-driven approach to work and should take the initiative to identify research opportunities, propose new ideas, and seek solutions to research challenges;
	Collaboration: The ability to communicate effectively, listen actively, and contribute constructively to group discussions is essential for successful collaboration;
	Resilience: applicants should demonstrate resilience and perseverance, maintaining a positive attitude and adaptability in the face of setbacks or unexpected outcomes;
	Ethical conduct: applicants should adhere to ethical guidelines, promote responsible research practices, and ensure the safety and well-being of themselves and others in the research environment.


These personal attributes, combined with the required qualifications and expertise, contribute to the overall effectiveness and success of postdoctoral researchers in pursuit of advancing knowledge and making significant contributions to their respective fields.

CAREER DEVELOPMENT


	Clear career development path with annual review.
	Professional development trainings are provided.


COMPENSATION & BENEFITS

SALARY: Competitive salary in the market

BENEFITS: Details refer to the University Policy

Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff.

HOW TO APPLY

Interested applicants are required to submit the application with the following files. Please combine the following application materials into a single PDF file and title it "Digital Twin and Control Systems Postdoc Application – Your Name",


	Detailed CV (including list of publications)
	Research Statement (summarizing past research achievements and future research interests)
	Three representative publications
	Three reference letters (or contact information for referees)


For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn.


Xi'an Jiaotong-Liverpool University

Hong Kong

Ref.: 537709
Work type: Full-time
Department: Department of Geography (30900)
Categories: Senior Research Staff & Post-doctoral Fellow

Postdoctoral Fellow in Transport, Urban Environment and Spatial Data Science (Ref. No. 537709)

PEACE Research Group | Department of Geography | The University of Hong Kong (HKU)

Applications are invited for a Postdoctoral Fellow position in the PEACE Research Group at the Department of Geography, The University of Hong Kong (HKU). The appointment will commence on a mutually agreed date.

The PEACE Research Group conducts interdisciplinary research at the intersection of transport, environment, urban systems and human populations, with a particular emphasis on the application of spatial data science and emerging computational methods. Our team brings together researchers from diverse backgrounds, including engineering, data science, urban planning, public health and economics. We foster an open, collaborative and stimulating research environment that encourages interdisciplinary learning and innovation.

HKU and its Geography discipline are both ranked 11th globally in the QS rankings.

Qualifications and Requirements

Applicants should possess:


	A Ph.D. degree (awarded or nearing completion) in Transportation, Environmental Science, Urban Planning, Data Science, Public Health, or a closely related discipline.
	Strong quantitative analytical and problem-solving skills, with relevant research experience in urban environments, spatiotemporal data analysis, artificial intelligence or related fields.
	Excellent academic writing and communication skills in English, with a demonstrated record of publications in high-quality international peer-reviewed journals.
	Strong self-motivation, independence, teamwork and project management skills, with the ability to initiate and conduct research and contribute to interdisciplinary collaborations.


Preference will be given to candidates with experience in large-scale or cross-regional research, advanced AI or computational methods, or an outstanding publication record in leading international journals.

Research Areas

Potential research directions include, but are not limited to:


	Transport, Environment and Urban Systems
	AI-enabled Urban and Data-driven Research
	Human Mobility, Environmental Exposure and Population Health


Methods and Technical Expertise

Relevant methodological expertise may include:


	Applied AI, Machine Learning and Emerging Computational Methods
	Environmental Monitoring and Smart Sensing (Indoor/Outdoor, Mobile/Fixed)
	Remote Sensing, GIS and Spatial Analytics
	Spatiotemporal Big Data Analytics and Modelling


Candidates are not expected to have expertise in all the above areas. We particularly welcome applicants who can bring complementary disciplinary perspectives and methodological strengths to the research group.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online applications for the above post. Applicants should apply online and upload (1) an up-to-date curriculum vitae (CV); (2) representative research publications; (3) a research statement or proposed research plan, outlining their research interests, relevant expertise and potential research directions; and (4) at least two academic reference letters from referees familiar with their research experience and academic potential.

Review of applications will start as soon as possible and continue until November 30, 2026, or until the post is filled, whichever is earlier.

The University thanks applicants for their interest but advises that only candidates shortlisted for interviews will be notified of the application results.

For enquiries about the position, please contact Dr. Junshi Xu at junshixu@hku.hk.


The University of Hong Kong

$94,181 p.a.(2.01) - $106,616 p.a. (2.04)

New Zealand, Christchurch

Mātai Kōwaiwai | Fine Arts
Located in Ōtautahi | Christchurch, Aotearoa | New Zealand


	Full-time 37.5 hours per week (1.0 FTE)
	Continuing (permanent) position
	Generous annual leave provisions and professional development opportunities


Kia hiwa rā, kia hiwa rā! He hiahia, he pūkenga nōu ki te mahi a te Pūkenga ? Nāia te pōwhiri nā Te Whare Wānanga o Waitaha kia tono mai i te tūranga nei.

Āu Mahi | What You Will Do

UC's Ilam School of Fine Arts is looking for an experienced academic/artist to be a Lecturer in Painting. In this position, you will deliver high-quality teaching to our painting students, supervise Honours, Masters, and practice-based PhD students, while producing high calibre research outputs and assisting with administrative duties within the school. You will also help ensure that academic programmes remain current, impactful, and responsive to emerging needs in the field.

This appointment represents a significant opportunity for an emerging or more established academic to shape the direction of research and education within the school and the wider field.

Mōu | Who You Are

To be successful in this position, you will be active in research/building your outputs/portfolio, scholarship and creative work. You will also have the following:


	A PhD in a relevant field is preferred, however applicants with a Master's Degree or equivalent (NZQA Level 9 or above), preferably a Master of Fine Arts would be considered
	A dynamic understanding of contemporary art practice, with a deep knowledge of contemporary painting practice and its historical antecedents
	An appreciation of the cultural and artistic contexts of Aotearoa/New Zealand and how these relate to a global arts network/discourse
	A commitment to inclusive teaching practices and reflective professional development
	Active commitment to upholding the values, tikanga (protocols and processes), kawa (rules) of cultural practice and traditions as guided by mana whenua, Ngāi Tūāhuriri, and valuing te reo Māori
	An ability to discuss, practice and operate across a diverse set of art practices/disciplines.


Mahi Ngātahi | Who You Will Work With

The Ilam School of Fine Arts offers a boutique-style education in both the practical field of fine arts and the wider liberal arts. The ability to specialise in one of five disciplines; design, moving image, painting, photography and sculpture, is unique within New Zealand. Staff are all practicing artists, designers, filmmakers and curators with established reputations. Our recent graduates join a long list of highly regarded alumni who continue to make significant artistic, cultural and social differences in New Zealand and the world beyond

Ngā Painga o UC | Why UC

Tangata Tū, Tangata Ora -– Engaged, Empowered, Making a Difference. 

We are committed to accessible higher education, service to the community and the encouragement of talent without barriers of distance, wealth, class, gender or ethnicity. The University explicitly aims to produce graduates and support staff who are engaged with their communities, empowered to act for good and determined to make a difference in the world.

Mea e tukua nei | What we offer 

The University is committed to providing an excellent working environment, this includes:


	relocation support
	five weeks annual leave and five days university holidays
	UC Parental Leave (up to 9 weeks paid) + 26 weeks Government paid parental leave and onsite childcare facility
	widely accessible sabbatical provision
	generous employer contribution to superannuation (up to 6.75%)
	University and Faculty scholarship support for post-graduate students
	a unique bequest funded endowment (Erskine Fund) that supports an extensive visiting fellowship programme
	flexible working arrangements
	supportive working environment
	professional development and study opportunities
	living in revitalised Ōtautahi | Christchurch, Aotearoa New Zealand
	a unique working environment in a beautiful campus with access to UC facilities such as the recreation centre and Staff Club at discounted rates plus onsite cafés and eateries, and more.


For more information on our Benefits, please visit https://www.canterbury.ac.nz/joinus/benefits/ 

This role sits within the Academic Staff, Associated Staff and Support Staff Collective Agreement and the following salary scale applies: Lecturer $94,181 p.a.(2.01) - $106,616p.a. (2.04).

The closing date for this position is: 8 November 2026 (midnight NZ time)

Please note, applications may be reviewed before the close date.

Pēhea te tono mai | How You Apply

Applications for this position must be submitted online through our careers website and should include:

a 'cover letter' including a 2–3-page statement outlining your research history, interests and goals, teaching philosophy, and your thoughts on how the School of Fine Arts can continue to grow and develop over the coming years. a 'resume' which includes a list of relevant research-led and research-based practice. We do not accept applications by email, however, we are happy to answer any queries at WorkatUC@canterbury.ac.nz

For further information specifically about the role, please contact: Aaron Kreisler, Head of Creative and Digital Arts, aaron.kreisler@canterbury.ac.nz

For overseas applicants, please visit Immigration New Zealand website, to review the latest health and visa requirements for visiting and working in New Zealand. 

Please note, this is an onsite position.

To apply for this job, please click here or go to our job site and enter the job code 33763HL.


University of Canterbury

$91,546 - $141,317 per annum plus 17% superannuation

Australia

Classification: Academic Level A or Level B
Salary package: $91,546 - $141,317 per annum plus 17% superannuation
Term: Full-time, Fixed term (up to 3 years)
Position Description and Selection Criteria: PD&PEWER_Level A and Level B_AITC_RSPhys_2026.docx.pdf

In 1946, ANU was founded to help rebuild a changing world. We’re still at it, 80 years later. For generations, our people have turned curiosity into ideas that have shaped Australia and our region. Learn more about ANU, our history and the community that has shaped us: ANU at 80 

The Position

Undertake research and instrumentation development in Laser Guide Star Adaptive Optics, with a particular focus on the ULTIMATE Ground Layer Adaptive Optics (GLAO) system for the Subaru Telescope and the Laser Tomography Adaptive Optics (LTAO) system for the Giant Magellan Telescope (GMT).

Contribute to the design, development, integration and testing of advanced Adaptive Optics instrumentation, working collaboratively with researchers and engineers at ANU and with national and international partners. Your activities will include independent and collaborative research, publication and dissemination of results, instrumentation development, student supervision and outreach. You will also have opportunities to contribute to the development of new research directions and external funding.

The Person

The successful candidate will have a PhD in physics, astronomy, engineering or a related discipline and demonstrated expertise relevant to adaptive optics and instrumentation development, such as Laser Guide Star Adaptive Optics, wavefront sensing or real-time computing. They will also have a strong record of research demonstrated through peer-reviewed publications and collaboration.

We highly value experience in the design, development, fielding or operation of adaptive optics systems on large astronomical telescopes, as well as knowledge of project management and systems engineering. The successful candidate will be an effective communicator and collaborative team member, able to work across disciplinary and institutional boundaries, contribute to student supervision and engage with the broader research community.

The School

The Research School of Astronomy and Astrophysics (RSAA) is a world-leading centre for astronomical research and education at ANU, based at the historic Mount Stromlo Observatory in Canberra. RSAA conducts research spanning the breadth of astronomy and astrophysics, supported by world-class facilities, international collaborations and a strong focus on research-led education. The School has a long-standing strength in astronomical instrumentation, with the Advanced Instrumentation and Technology Centre (AITC) providing a unique environment for the design, development, manufacture, assembly, integration and testing of advanced instruments for ground-based astronomy and space science.

The AITC is a national facility established in 2006 and has developed into one of Australia's leading centres for astronomical and space instrumentation. Its multidisciplinary teams combine expertise in optics, mechanics, electronics, detectors, controls, software, astronomy and space technologies to deliver innovative instrumentation for major international observatories and space missions. The Centre also supports industry and government partnerships and provides advanced facilities for research, development, testing and training.

The College

The ANU College of Science and Medicine encompasses the disciplines of: Astronomy, Biology, Chemistry, Earth Sciences, Medical Research, Medicine, Physics and Psychology and is also home to a number of cross-disciplinary and specialist Institutes and Centres.  Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. 

To find out more about the Science at ANU community, follow us on social media at Instagram and Facebook

For further information please contact, Noelia Martinez Rey, ARC DECRA Fellow, E: noelia.martinezrey@anu.edu.au 

ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities.  For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details.

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au  

Application information

In order to apply for this role please make sure that you upload the following documents:


	A statement addressing the selection criteria.
	A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
	Other documents, if required.


Applications which do not address the selection criteria may not be considered for the position.

Please note: The preferred candidate will be required to complete mandatory pre-employment declarations and background checks relevant to the role they have applied for, in accordance with the Background Checking Procedure and the National Higher Education Code to Prevent and Respond to Gender-Based Violence. 

Closing date: Sunday, 22 November 2026, 11:55PM (Canberra Time)  


The Australian National University

Ref.: 537702
Work type: Full-time
Department: Department of Civil Engineering (14100)
Categories: Senior Research Staff & Post-doctoral Fellow

Senior Research Assistant in the Department of Civil Engineering (Several Posts) (Ref.: 537702), to commence as soon as possible for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability.

We now invite applications for the captioned posts. This post will provide an excellent opportunity to develop a research career involving advanced research in smart construction and transportation engineering. On-the-job training will also be provided.

Duties and Responsibilities

(1) Common Responsibilities

All appointees will be required to conduct literature review, collect and analyze user requirements in safe and efficient transportation, and contribute to system engineering design.

(2) Role-Specific Responsibilities

In addition to the common responsibilities above, each appointee will be assigned to one of the following two roles, based on their research interests and expertise:


	System Architecture and Software Development: Lead the system engineering design and development and oversee the software development.
	Algorithm Optimization and Deployment: Optimize algorithms and implement their deployment and integration into the system.


 Requirements


	Master's degree or above in Civil Engineering, Transportation Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related discipline.
	1 year’s post-qualification working experience.
	Ability to multi-task and work on a tight schedule to meet project deadlines.
	Ability to conduct field tests, work well independently and collaboratively as a team.
	Attentive to detail, with a strong sense of responsibility, and self-motivated.


What We Offer

The appointment will commence as soon as possible on a 1-year temporary basis, with the possibility of renewal subject to satisfactory performance and funding availability.

A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

How to Apply

The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until December 31, 2026, or until the posts are filled, whichever is earlier.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency


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