University of Sheffield - Sheffield University Management School

Times 中国A片

Overview

For Students

For Professionals

Basic information and contact details for the University of Sheffield - Sheffield University Management School

About the University of Sheffield - Sheffield University Management School

Contact the University of Sheffield - Sheffield University Management School

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

United Kingdom, Glasgow

Salary range:???32,296 - ?35,880
FTE:? 1.0 (35 hours per week)
Term:? Open
Closing date: 13 January 2025

The University of Strathclyde is a leading international technological university, with a worldwide student population, and it is committed to providing a first-class experience to its students. Our students expect to be able to use their own devices, and to have a consistent user experience and seamless user journey. It is now accepted that most students will have a smart phone when they join the University, making the continued provision of a comprehensive and accessible app development service essential to ensuring students can make the most of their time at Strathclyde. An exciting opportunity has arisen for an experienced Digital Communications Officer to lead the digital communications work of the Collaboration Services (CS) team, including the Mobile App Development Service, responsible for StrathApp, the University’s corporate App for students and staff.

We are seeking to appoint a candidate with a proven track record in digital communications, with skillsets in the following areas:


	Development of high-quality mixed-mode digital content that is innovative and engaging for a student audience.
	Management of StrathApp digital communication channels e.g., PUSH notifications, promotions, stories
	Stakeholder engagement and onboarding for the continuous improvement and innovation of digital communications for large-scale IT systems, including the Mobile App Development Service and its ecosystem of apps.
	Elicitation of requirements through stakeholder engagement activities to ensure powerful customer voice in technical documentation for developers. Experience of Agile development methods would be highly advantageous.
	Marketing and events management, including agile planning groups and student co-creation teaching activities.


As the team’s Digital Communication Officer, you will have a proven track record of working efficiently and effectively, as part of a multi-disciplinary team, to identify gaps and enhance services for IT systems users.

You will assess and interpret patterns of user communication and engagement to highlight opportunities for enhancement of IT services and systems. You will ensure the smooth running of communications for the Mobile App Development Service, by managing all StrathApp content and communication requests from university stakeholders. You will demonstrate a broad range of digital marketing and communications skills and have specialist understanding of student user journeys, Voice of the Customer, and Agile project management techniques. This role would suit an applicant with experience of the Scrum Master role.

The Role:


	As Digital Communications Officer for the Mobile App Development Service: successfully manage, support, and enhance both StrathApp and wider digital communications channels for the Collaboration Services team. A key first task will be the creation of a digital community for the growing eco system of apps within the University (e.g., Strath Union, StrathReps, catering, Strath Sport, etc.).
	As the CS team’s Digital Communications specialist, advise on improvements to digital services, IT systems and?related business processes.
	Supervise student placement/project assistants, playing a key role in Student Co-creation activities.
	Be the institution’s leading champion for App Digital Communications working alongside colleagues in ISD, Student Experience, Marketing & Development Services, Education Enhancement, and Strath Union to define and implement a Student Digital Communications Strategy
	?With the team, ensure compliance with university policy and wider legislation on Branding, University Values, the commercial app stores (Google, Apple), Digital Accessibility, Privacy & Electronic Communication Regulations (PECR) and General Data Protection Regs (GDPR).
	Benefits
	In return, you will receive ‘on-the-job’ training, a generous holiday package and be eligible to subscribe to a variety of schemes associated with being an employee of the University.


Interviews are scheduled to take place on?23 January 2025.

For informal enquiries, please contact?Donna Brawley,?Collaboration Services Manager at?donna.brawley@strath.ac.uk

Click here for full details


University of Strathclyde

Finland

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


Aalto University

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 中国A片. 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 post:

Associate Professor / Assistant Professor
Department of Accountancy
(Post Ref.: 24/379)

The Department is now inviting applications for the post of Associate Professor / Assistant Professor. The appointee is expected to contribute to high quality research, teaching, and service.

General Requirements

Candidates should have a PhD degree in Accountancy. For appointment as?Associate Professor, candidates should have at leave five years of relevant experience and a sound track record in research and scholarly activities. For appointment as?Assistant Professor, candidates should have relevant teaching experience, a good research record and must demonstrate good potential in publishing high-quality papers. Top-tier publications and successful GRF applications will be advantages.

Lingnan University pursues excellence in both teaching and research. The appointee is expected to apply for external competitive grants, and commit to teaching excellence and active services to the Department, the Faculty, and the University. Applicants are required to provide information on their work experience, qualifications, research records, and evidence of quality teaching. Excellent communication and presentation skills are essential. Administrative experience in university departments would be an advantage.

Appointment

The conditions of appointment will be competitive. The rank and 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 appointee. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation.

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 post is filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

United Kingdom, Egham

School of Performing and Digital Arts (Foundation Year)

Location
Egham

Salary
?48,619 to ?57,429 per annum - including London Allowance

Post Type
Full Time

Closing Date
23.59 hours GMT on Tuesday 21 January 2025

Reference
1024-328-R

Right to work:?Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the?UK Visas and Immigration website.

Full-time, Permanent

Applications are invited for the post of Teaching-Focused Lecturer in Computer Science on Integrated Foundation Year (IFY) Programmes at Royal Holloway, University of London.

The well-established and successful IFY at Royal Holloway teaches and supports over 400 students per year across a broad range of disciplines. We are currently expanding the staffing of our STEM (Science Technology Engineering and Mathematics) strand to enhance the foundation year experience for our students through more discipline-focused courses.

The successful applicant will be an experienced and talented teacher at Level 3, with a strong background in Computer Science, and a particular interest in programming. You will be experienced in using and teaching Python, Javascript, HTML, and CSS in a way that encourages and inspires students to embrace computer programming as part of their learning journey. You will also be an excellent communicator and versatile teacher, able to adapt your teaching methods to fit the diverse backgrounds of our students, in an approach centered on inclusivity, equity and the provision of skills for choice and opportunity.

In return, we offer a highly competitive rewards and benefits package including:


	Generous annual leave entitlement
	Training and Development opportunities
	Pension Scheme with generous employer contribution
	Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of eyesight testing.
	Free parking


The post is based in Egham, Surrey where Royal Holloway is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London.

For an informal discussion about the post, please contact Dr Deborah Harvey:?d.harvey@rhul.ac.uk

For queries on the application process the Human Resources Department can be contacted by email at:?recruitment@rhul.ac.uk

If you have previously applied for this position within the last three months, we kindly request that you do not reapply.

Please quote the reference:?1024-328-R

Closing Date:?23:59, 21 January 2025

Interview Date:?To Be Confirmed

Further?details:?Job?Description?&?Person?Specification


Royal Holloway University of London

Closing date:?27/01/2025
Salary Range:??32,296 - ?33,882
FTE: 1 (35hours/week)
Term: Fixed (6 months)

We are seeking a Research Assistant to work in the marine modelling group of the Department of Mathematics and Statistics. The successful candidates will join our team working on applying and extending the scope of the StrathE2E marine ecosystem model for regions of the Atlantic Ocean (https://outreach.mathstat.strath.ac.uk/apps/StrathE2EApp/), contributing to research being carried out in the Mission Atlantic (https://missionatlantic.eu) research programme.

The successful applicants will have obtained at least an honours degree and preferably a Masters in a quantitative field of marine environmental science. They will need to demonstrate an up-to-date knowledge of research on marine fisheries and/or climate change, and their effects on food webs and the marine environment. They will also show an aptitude for writing research reports, and have experience of coding in R.

For any informal enquiries, please contact Chancellors fellow, Jack Laverick (jack.laverick@strath.ac.uk)

please click here for further details.pdf


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

Jobs you might be interested in

A breakdown of student statistics at the University of Sheffield - Sheffield University Management School

Key Student Statistics

Select the type of rankings below to see stats

See below for a range of subjects taught at the University of Sheffield - Sheffield University Management School

Subjects Taught at the University of Sheffield - Sheffield University Management School

中国A片

University of Sheffield - Sheffield University Management School

About

Discover similar universities

Company

Legal