Jiangxi University of Finance and Economics

Times Higher Education

Overview

For Students

For Professionals

Basic information and contact details for Jiangxi University of Finance and Economics

About Jiangxi University of Finance and Economics

Contact Jiangxi University of Finance and Economics

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

The starting salary for a PhD student is 3000 EUR/month.

Finland

The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems. The research group is seeking a talented PhD student with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control.

The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent developments in learning Operator Theoretic representations of dynamical systems that focus on model interpretability, scalability to high dimensions, and data efficiency. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to some of the research topics in your Letter of Motivation.

Outstanding researchers from the areas of Control Engineering, Robotics, Machine Learning, AI, and related areas including Optimization, Mathematics and Physics are welcome to apply. The candidate is expected to conduct independent research and should have strong analytical skills as well as be fluent in spoken and written English. Successful candidates will have the opportunity to collaborate with the vibrant Aalto research community, including the Intelligent Robotics group and the Mobile Robotics group, as well as the Finnish Center for Artificial Intelligence. The group also actively collaborates internationally with top institutions in the US and Sweden.

If you are chosen for this position, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering.

WE OFFER

The position will be filled for a period of 4 years (2 + 2). The starting date is in January 2025 or as mutually agreed. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. The starting salary for a PhD student is 3000 EUR/month.

We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transport.

READY TO APPLY?

Please submit your application through our online recruitment system. To access the recruitment system, please use the “Apply now!” link below.

Applications received before December 15th, 2024 (23:59 EET (GMT+2)) will be given guaranteed consideration. Applications will continue to be processed and reviewed following this date until positions are filled, but candidates are encouraged to apply as soon as possible.

Please write your application and all the accompanying documentation in English and attach them in PDF format. Please attach only the following documents to your application:


	A letter of motivation describing your research interests and how the research fits to the Nonlinear Systems and Control group (max. 1 page)
	Curriculum vitae (include the contact details of at least two references, and if available, a list of publications)
	PDF copy of your MSc and BSc degree certificates, including transcripts of all MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish certificates are also accepted). Unofficial transcripts are acceptable for application purposes.


Please note that our recruitment system allows max 5 attachments, so please combine the copies of certificates and transcripts in one PDF, if necessary.

ADDITIONAL INFORMATION

For further information about the application or the position, please contact Assistant Professor Shankar Deka, shankar.deka@aalto.fi. Additional information in recruitment process related questions, please contact HR Partner Camilla Hanganpää, camilla.hanganpaa@aalto.fi.

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 12 000 students, 400 professors and close to 4 000 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

United Kingdom, Southampton

We are looking for a highly motivated Research Fellow or Senior Research Fellow to work on novel technologies for fibre communication systems.

Be a part of the University of Southampton, an institution in the top one per cent of world universities and one of the UK’s Russell group research-intensive universities. We have an international reputation for research, teaching and enterprise activities. You will work in the world leading Optoelectronics Research Centre (ORC) and will have access to the world class facilities and dedicated researchers that this provides. The Telecommunications Systems Laboratory is equipped with state-of-the-art equipment for experimentation in photonic systems and provides direct access to the UK’s National Dark Fibre Facility, a unique geographically distributed transmission facility dedicated to research, linking together four top British universities.

You will be part of the UK’s Federated Telecoms Hubs, which aims to revolutionize the communication infrastructures of the future. The project will design new systems based on multi-core optical fibres and carry out proof-of-principle experiments in customised high-speed communication testbeds. This will require an in-depth understanding of optical technology and the ability to develop novel solutions benefitting from novel fibre structures.

In addition to experimenting with multi-core fibres, you will take part in specifying the characteristics of these components prior to fabrication and will contribute to their characterisation. You will be responsible for designing and executing the experiments that will best describe their behaviour and you will demonstrate their potential in communication networks, often in collaboration with the project partners and other researchers within the group and the ORC.

To be successful, you must have a strong background in photonics and communications with extensive practical experience of working with optical fibres and systems. Ideally, you will also have experience in characterising optical fibres, photonic components, optical system modelling and/or the design and experimentation of high-speed optical communication systems.

You must also have proven skills in the critical evaluation and interpretation of data and of working as part of a collaborative research team. You must hold a PhD* or equivalent qualification related to fibre optics or photonics. Previous postdoctoral experience is favoured but not necessary.

* Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

If you have any questions or would like to discuss this post, please contact Professor Periklis Petropoulos on pp@orc.soton.ac.uk.


University of Southampton

Australia, Canberra

Classification: ANU Officer 4 (Research)
Salary package: $73,650 - $79,682 per annum plus 17% superannuation
Terms: Full-time, Continuing (Contingent Funded), (part-time may be considered)
This position is continuing (contingent funded). The funding that supports this project is up to 36 months. 

Working at ANU

This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence.

We offer:


	Flexible working arrangements including hybrid arrangements working both on our beautiful, green campus and working remotely,
	Generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements,
	Designated parent rooms, quiet spaces and childcare facilities on campus,
	Career support, training, mentoring & upskilling opportunities.


For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here.

To see what the Science at ANU community is like, we invite you to follow us on social media at Instagram and Facebook.

A Diverse and Inclusive Team

ANU is introducing measures to support the recruitment, inclusion and retention of employees with disability. To find out more, please click here.

ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here. We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have had a non-linear career path, career gaps or career breaks.

The Position

ANU Research School of Biology is seek a Research Assistant to work in a friendly, motivated team providing bioengineering solutions to solve global challenges.

This is a key role for a Research Assistant to support project investigators in developing and testing biotechnologies to convert waste into resources. Responsibilities include maintaining consumable stocks, conducting routine assays, coordinating equipment schedules, assisting with lab management, and scheduling meetings with project partners.

The Person

We are looking for a strong team player with excellent interpersonal skills and the capacity to quickly develop productive, professional relationships with colleagues and clients. Highly developed organisational skills and effective self-management are key. We are looking for someone with molecular biology expertise and experience supporting biological engineering research initiatives.

Learn more about the ground-breaking research and work class facilities of the Research School of Biology here.

For more information about the position please contact Professor Caitlin Byrt on T: +61 2 6125 2181, E: Caitlin.Byrt@anu.edu.au.  

To Apply

To be considered for this position, please upload the following documents:


	A current curriculum vitae (CV), and
	No more than a two page summary addressing your suitability against the selection criteria.


The committee will consider candidates that do not meet one or more aspects of the selection criteria.

If shortlisted, candidates will be asked to complete a:


	30 minute interview using behavioural interview questions


If you require adjustments to participate in any of the above assessments, please contact our HR team at E: hr.cos@anu.edu.au. Any adjustment request or the disclosure of disability will not be communicated to the selection committee without the candidates consent and it will not having any bearing on hiring decisions.

For examples of common reasonable adjustments please click here.

The successful applicant must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.


The Australian National University

Classification: Academic Level B
Salary package: $112,916 - $128,026 per annum plus 17% superannuation
Terms: Full-time, Continuing(Contingent Funded) (part-time may be considered)
This position is continuing (contingent funded). The funding that supports this project is up to 36 months. 

Working at ANU

This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence.

We offer:


	Flexible working arrangements including hybrid arrangements working both on our beautiful, green campus and working remotely,
	Generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements,
	Designated parent rooms, quiet spaces and childcare facilities on campus,
	Career support, training, mentoring & upskilling opportunities.


For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here.

To see what the Science at ANU community is like, we invite you to follow us on social media at Instagram and Facebook.

A Diverse and Inclusive Team

ANU is introducing measures to support the recruitment, inclusion and retention of employees with disability. To find out more, please click here.

ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here. We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have had a non-linear career path, career gaps or career breaks.

The Position

ANU Research School of Biology is seek two Research Fellow to in a friendly, motivated team providing bioengineering solutions to solve global challenges. With no two days being the same, this role is integral to the delivery/support of critical resources relevant to future energy security.

The Person

We are looking for a Research Fellow to develop, test, and assess platform biotechnologies and engineered living systems to convert waste into valuable resources. Their work will focus on organisms and processes to enhance mineral breakdown and improve critical metal bioavailability, building an ecosystem for waste valorisation. We are looking for someone who likes challenging problems and encourages team members and colleagues to workshop effective solutions. 

Learn more about the ground-breaking research and work class facilities of the Research School of Biology here.

For more information about the position please contact Professor Caitlin Byrt on T: +61 2 6125 2181 E: Caitlin.Byrt@anu.edu.au.  

To Apply

To be considered for this position, please upload the following documents:


	A current curriculum vitae (CV), and
	No more than a two page summary addressing your suitability against the selection criteria.


The committee will consider candidates that do not meet one or more aspects of the selection criteria.

If shortlisted, candidates will be asked to complete a:


	30 minute interview using behavioural interview questions
	Presentation on bioengineering experience


If you require adjustments to participate in any of the above assessments, please contact our HR team at E: hr.cos@anu.edu.au. Any adjustment request or the disclosure of disability will not be communicated to the selection committee without the candidates consent and it will not having any bearing on hiring decisions.

For examples of common reasonable adjustments please click here.

The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.


Programmer (python/C) in the Collaborative Computing Project 4 Macromolecular Crystallography.

We look for a programmer in the field of macromolecular crystallographic computing. We seek to develop, implement, and apply methodology for identification and examination of multiple structural states and conformations for this, and will employ the Bayesian decomposition we have developed. Any development is to be implemented within the programs servalcat/refmac for the CCP4 computing programming suite and released publicly.

The successful candidate will be knowledgeable in crystallographic theory and able to code. The post will be based at Southampton with regular research visits to the LMB Cambridge and to the Research Complex at Harwell for interaction with the CCP4 core team. The project has a focus on time resolved work and cooperates with the UK XFEL hub at the Diamond Light Source. This contract is initially 15 month, but may be extended.

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given.


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

Featured jobs

A breakdown of student statistics at Jiangxi University of Finance and Economics

Key Student Statistics

World University Rankings 2023

Select the type of rankings below to see stats

See below for a range of subjects taught at Jiangxi University of Finance and Economics

Jiangxi University of Finance and Economics

About

Rankings

World University Rankings 20231001-1200^th

Business and Economics 2023401-500^th

Computer Science 2023601-800^th

Explore our featured universities

Key Student Statistics

Company

Legal

Jiangxi University of Finance and Economics

About

Rankings

Business and Economics 2023401-500th

Computer Science 2023601-800th

Explore our featured universities

Key Student Statistics

Business and Economics 2023401-500^th

Computer Science 2023601-800^th