Sharda University

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United Kingdom, Newcastle upon Tyne

ABOUT THE ROLE

This is an exciting opportunity to apply your expertise to lead an innovative project focused on developing advanced solutions for textile wastewater treatment, contributing to sustainable practices and fostering collaboration between Pakistan and the UK.

This role is part of a collaborative initiative between leading academic institutions and industry partners from both countries, where you will work closely with stakeholders to ensure the project's success.

The project aims to address the pressing challenge of wastewater management in the textile industry by developing innovative treatment technologies. It emphasizes sustainability and scalability, with potential applications across diverse industrial sectors. As the Postdoctoral Research Fellow, you will be at the forefront of this effort, driving the research, development, and implementation of cutting-edge solutions.

This role provides a unique opportunity to contribute to a high-impact project that bridges academia and industry while addressing critical environmental challenges in one of the world’s largest industrial sectors.

This role is fixed term for 15 months.

ABOUT THE TEAM

Find out more about Mechanical Engineering at Northumbria University: https://www.northumbria.ac.uk/about-us/academic-departments/mechanical-and-construction-engineering/research/

ABOUT YOU

Further information about the requirements of the role is available in the person specification.

Please contact project lead Dr. Muhammad Wakil Shahzad (muhammad.w.shahzad@northumbria.ac.uk) for additional information and an informal phone conversation.

To apply for this vacancy please click 'Apply Now'. Your application should include a covering letter, CV and relevant experience detail including publications list.

ABOUT US

Northumbria University is a research-intensive university that unlocks potential for all.  We change lives regionally, nationally, and internationally through education and research, tackling the global challenges of our age to transform society and the economy. Find out why we were named Times Higher Education’s University of the Year in 2022 and Modern University of the Year in The Times and Sunday Times Good University Guide 2025.

Northumbria recorded the biggest rise of any UK university for research power in the Research Excellence Framework for the second time in 2021 and is now ranked top 25 in the UK for this measure.

One of the largest universities in the UK with over 37,000 students from more than 140 countries, filled with world-leading research, award-winning partnerships, and students at the heart of an outstanding experience. Discover more about us.

Northumbria University is a great place to work.  We empower our exceptional people to achieve shared ambitions and promote a positive work life balance. We offer a wide range of benefits including excellent pension schemes, flexible working, a generous holiday entitlement, continued commitment to your learning and development and more.

Our Northumbria Values are guiding principles that define who we are, what we do and what is important to us. Our Values are: Academic Excellence; Innovation; Inclusivity; Collaboration; and Ambition.

Our Behaviours describe how we do things and how we work together at Northumbria, reflecting our culture and our decision-making. Our Behaviours are: We listen and learn, we support one another to success, we respect everyone and their contributions, we trust in ourselves and each other and we are bold.

Our Values and Behaviours were co-created by colleagues from a range of roles across the University, who worked collaboratively to consider what it feels like to work for Northumbria, and where we need to continue to transform together to achieve what’s important to us.

Please visit Our Values and Behaviours page to find out more.

We are an on-campus organisation where colleagues work regular patterns of hours and on campus, with some flexibility on the timing of their hours and the location of their work in discussion with their manager. Our campus locations include our City and Coach Lane Campuses in Newcastle upon Tyne and our London campus.

Northumbria University is committed to creating an inclusive culture where we take pride in, and value, the diversity of our staff.  We encourage and welcome applications from all members of the community. The University holds bronze Athena Swan and Race Equality Charter awards in recognition of our commitment to advancing gender and race equality, we are a Disability Confident Leader and are participating in the Stonewall Diversity Champion Programme. We also hold the HR Excellence in Research award for implementing the concordat supporting the career Development of Researchers and are members of the Euraxess initiative to deliver information and support to professional researchers. The University has implemented a range of flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process.

We are committed to keeping your data safe so it's important for you to know how we use any personal data you give us. For more detailed information, access our Privacy Policy.


Northumbria University, Newcastle

United Kingdom, Birmingham

Salary: £37,999 - £42,632 per annum
Contractual hours: 37
Basis: Full Time
Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/
Job category/type: Academic
Job reference: REQ000229
Attachments: Lec in Physiotherapy - JDPS - Dec 24.pdf

Job description

Due to the growth of the Nursing and Allied Health Apprenticeship provision at UCB, an exciting opportunity has arisen for a Physiotherapist with current clinical experience, to join our growing, innovative, and forwarding thinking apprenticeship team as a Lecturer. 

In this role, the successful applicant will support teaching and assessing apprentices in our purpose-built facilities in Moss House, the Health, Skills and Simulation Suite and other skills facilities around the campuses. A tour is available at https://www.youtube.com/watch?v=id5xwZI5VEA

The applicant will provide clinical knowledge skills and behaviours input to ensure that Physiotherapy, Nursing and Allied Health Professionals essential skills are taught and assessed in line with current evidence-based practice.

Educated to a minimum of degree level with current registration on the HCPC register with experience of teaching and assessing students / apprentices.

This is an exciting time to join the Apprenticeship Team at UCB as we continue to grow our Allied Health apprenticeship courses.

Standard Information

UCB is an equal opportunities employer.

University College Birmingham is proud to have been voted 5th in the Post Graduate Education category in the prestigious 2024 Whatuni Student Choice Awards. The awards are voted for and by students showcasing the incredible relationships we foster here at University College Birmingham between Staff and Students. We are TEF rated Silver, with a Good Ofsted rating.

University College Birmingham has a unique collaborative partnership with the University of Warwick - Ranked ninth in the 2024 Guardian League Tables and 67th in the World QS University Rankings 2024

You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work.

All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement.

All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.


University College Birmingham

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/.

Applications are now invited for the following posts:

Assistant Professor of Teaching
Department of Accountancy
(Post Ref.: 24/380)

The Department has vacancies for the posts of Assistant Professor of Teaching. The appointees are expected to contribute to high quality teaching.

General Requirements

Applicants should have a PhD degree in Accountancy or a related discipline and must demonstrate excellent teaching record. The appointees are expected to teach a variety of subjects including law in business and other accounting functional courses, such as managerial and financial accounting. The successful candidates should maintain the Association to Advance Collegiate Schools of Business (AACSB) qualification through producing peer reviewed journal publications or other intellectual contributions, engaging in professional development activities, responsible for curriculum development, and student advising and mentoring. The appointees are also expected to help the Department to maintain good relationship with professional bodies and business, reach out business by knowledge transfer, as well as to liaison with professional bodies to obtain (re)accreditation status of our accounting program(s).

Appointment

The conditions of appointments will be competitive. The remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years.

Application Procedure (online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

Australia, Melbourne


	Full-time, Continuing position 
	Salary Academic Level B ($110,868 - $131,659) + 17% Superannuation and Flexible Working Arrangements
	Based at the Melbourne CBD campus


About the Role

The Lecturer is expected to contribute to the teaching and research efforts of the School, in disciplines related to their field of expertise. Specifically, the lecturer should have expertise across the theory and practice of User Experience (UX) and User Interface (UI) design. Knowledge of creative coding and development practices is also desirable, as is engagement with emerging areas of practice such as spatial user interface design. The Lecturer is responsible for carrying out teaching activities within undergraduate, Masters and/or Graduate Diploma programs and for maintaining and advancing their scholarly, research and/or professional capabilities.

The Lecturer is also expected to actively promote the program by establishing and maintaining memberships, links and partnerships with academic, industry and professional communities. The Lecturer is expected to work collaboratively and collegially with fellow academics within the teaching team, and update colleagues and students on developments in their subject area or specialisation. The Lecturer may be responsible for course coordination.

To be successful in this position, you'll have:


	Demonstrated ability to develop, coordinate and deliver high quality curriculum and program materials at undergraduate and/or post-graduate levels in the field of digital design with specialist knowledge/skills in User Experience (UX) and User Interface (UI) design, creative coding, and development using web stacks. Demonstrated capacity to work effectively and negotiate sensitively with students, especially on issues related to effective learning.
	Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications, development of new research initiatives, competitive research funding, and industry links.
	Demonstrated ability to supervise higher degree by research candidates.
	Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government.


Please view position description for further selection criteria

Qualifications

Mandatory: PhD in relevant field

Special Measures

RMIT is committed in driving progression towards gender equality and ensuring the diversity in our organisation is balanced at every level.

Section 12 of the Victorian Equal Opportunity Act permits the University to conduct female only recruitment in addressing the substantive imbalance of female representation in Science, Engineering and Business, IT and Logistics schools. The Racial Discrimination Act permits special measures that foster greater racial equality in the Australian community.

RMIT's School of Design will therefore only consider applications for this position from suitably qualified women, gender diverse or Indigenous candidates for this position.

RMIT University is committed to creating inclusive culture that recognises diversity of our staff. We understand that life is multi-dimensional, and you may experience a range of professional and personal circumstances that may affect your career. As such, we implemented 'Achievement Relative to Opportunity' (ARtO) principles within our recruitment-related policies and processes. You may decide to activate ARtO to address the impact of personal or work circumstances on the scope of your application.

For further information about ARtO - https://www.rmit.edu.au/careers/applying-with-us

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About the School

The School of Design is a School comprised of the disciplines of Industrial Design, Digital Design and Communication Design.

The School builds on RMIT's leading national and international reputation in design education by creating a specific focus on emerging areas such as UX and service design, design strategy and virtual and augmented reality.

It comprises approximately 100 academic and 11 professional staff and over 3000 EFT undergraduate and postgraduate students with expectations of growth.

For more information visit www.rmit.edu.au/about/schools-colleges/design.

To Apply

Please submit your CV, covering letter and separate document addressing the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Jessica Bernardo (Senior Talent Acquisition Advisor) via email jessica.bernardo@rmit.edu.au.

Position Description - Lecturer - Digital Design (UX and UI)

Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.

Holiday Closure Notice:
Please be advised that RMIT will be closed between Christmas and New Year. If you have any questions or issues related to this role during that time, please contact talentsupport@rmit.edu.au. We will get back to you after January 2nd.

Applications close on Sunday 9th February 2025 at 11.59pm. 

About RMIT University

RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.

https://www.rmit.edu.au/about

https://www.universitiesaustralia.edu.au/university/rmit-university

Why work at RMIT University

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.

We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.

https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings

Bring Your Whole Self to Work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.

We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.

RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Acquisition Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are a Circle Back Initiative Employer - we commit to respond to every applicant.


RMIT University

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 Higher Education 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 Higher Education 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


Sharda University

About

Rankings

World University Rankings 20251201-1500^th

Impact Rankings

Impact Rankings 2024301-400^th

Good Health and Wellbeing 2024301-400^th

Affordable and Clean Energy 2024=32^nd

Sustainable Cities and Communities 2024201-300^th

Partnership for the Goals 2024201-300^th

Discover similar universities

Key Student Statistics

Company

Legal

Sharda University

About

Rankings

Impact Rankings

Impact Rankings 2024301-400th

Good Health and Wellbeing 2024301-400th

Affordable and Clean Energy 2024=32nd

Sustainable Cities and Communities 2024201-300th

Partnership for the Goals 2024201-300th

Discover similar universities

Key Student Statistics

Impact Rankings 2024301-400^th

Good Health and Wellbeing 2024301-400^th

Affordable and Clean Energy 2024=32^nd

Sustainable Cities and Communities 2024201-300^th

Partnership for the Goals 2024201-300^th