University of Paris North – Paris 13

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Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery.?

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions.?

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,? and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods? that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications.?

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is? February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages).?
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page. ?

Aalto University (53rd in the Times Higher Education 色盒直播 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


Aalto University

Australia, Darlington


	Full time continuing at Matilda Centre at Usyd Camperdown campus
	Opportunity for a passionate, motivated, and innovative senior leader to join the Matilda Centre for Research in Mental Health and Substance Use
	Base Salary $150,628 + 17% superannuation


About the opportunity

The Matilda Centre is seeking a driven senior leader to join the Centre Executive as the Centre Operations Manager. The Operations Manager leads the Centre professional services team providing exceptional operational support services to academic and professional researchers, and plays a key role as a member of the Centre Executive, driving the strategic development of the Matilda Centre and its integration with University and Faculty services, activities, policies and governance.

Reporting to the Head, FMH Centres and Affiliated Institutes, in the Faculty of Medicine and Health, the Matilda Centre Operations manager is a key contributor to the strategic and operational development of FMH Centres, and plays an important role in driving change that has significant impacts on the daily operational and research tasks across FMH Centres. Responsible for Matilda Centre Operations, the Centre Operations Manager works closely with the Matilda Centre Director to deliver the Centre strategy.

Your key responsibilities will be to:


	provide leadership support and strategic advice on the development of the Centre, with consideration of the operational implications of strategic and other initiatives as a key member of the Centre Executive
	ensure the provision of the highest quality research support services across a broad suite of needs, including office management, research administrative support, budget and contract support, and engaging and connecting Centre researchers with University and Faculty processes and support teams
	ensure the operations of the Matilda Centre are undertaken to the highest standards, including operations to University and external policies and governance
	oversight and control of the Centre budget, providing timely and accurate information to the Executive to support budget planning and expenditure decisions
	undertake centre reporting and other activities required by the University Centres policy and Faculty requirements for Centre reporting
	lead and inspire staff, focusing on performance management, professional development, and career growth
	promote workplace safety, ensure legislative compliance, and mitigate risks effectively
	support projects and programs aimed at improving FMH Centre operations, and ensure Centre compliance with Faculty processes and effective engagement with Faculty support teams.


About you


	hold a tertiary qualification or equivalent combination of training and experience
	advanced expertise in strategy formulation, operational management, and decision-making
	proven experience in people management, including staff performance and development.
	demonstrated ability to interpret and apply legislation and policy in an academic context.
	strong capabilities in stakeholder engagement, negotiation, and collaboration.
	advanced skills in planning, project management, and analytical problem-solving
	proven commitment to diversity and inclusive work practices
	extensive broad administrative skills including complex budget and financial management, contracts and agreements, business data collection and reporting, research systems and processes
	extensive broad administrative skills including complex budget and financial management, contracts and agreements, business data collection and reporting, research systems and processes
	Strategic Thinking: Navigate complex landscapes to achieve university objectives
	Leadership: Inspire teams to deliver excellence while fostering a collaborative environment.
	Adaptability: Maintain composure and professionalism in dynamic circumstances
	Digital Proficiency: Leverage technology for operational efficiency
	Research Understanding: Navigate the unique legislative and funding environment of research.


Note:  University Shutdown: The University is closed for its annual seasonal break from Saturday 21 December 2024, returning to regular business operations on Tuesday 7 January 2025. During this period, the entire Recruitment Operations team will not be available to respond to enquiries.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. This role requires valid work rights for Australia.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

As this position is located on an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit:NSW Health employment requirements

This position is designated as involving child-related work. To undertake or remain in this position, you are required to apply for and obtain a Working with Children Check clearance in accordance with the Child Protection (Working with Children) Act 2012.

EEO statement

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Deepna Chand, Recruitment Operations by email to Deepna.Chand@sydney.edu.au?

Copyright The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Sunday 19 January 2025 11:59 PM


The University of Sydney

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 aspires to become 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:

Lecturer
Business Psychology Programme
Department of Psychology
(Post Ref.: 24/377)

The Department of Psychology (http://www.LN.edu.hk/psy/) builds on the strengths of faculty in the field of positive occupational health psychology, human-computer interactions, and cross-cultural psychology. In line with the liberal arts tradition of the University, the Department is also strongly committed to providing high quality teaching and a supportive learning environment to students.

General Requirements

The Business Psychology Programme is looking for a full-time instructor to teach undergraduate psychology courses. The appointee is expected to teach a broad range of subjects for the programme, including Negotiation, Judgement, and Decision Making in Organizations, Introduction to Consumer Psychology, Industrial and Organizational Psychology, Psychological Testing and Assessment, etc. The appointee will have to provide support to the operation of the Programme, including programme promotion and student recruitment.

Applicants should have a PhD Degree in relevant fields in Psychology. Relevant experience in teaching courses related to work and organizational psychology, research methods and statistics is highly preferred.

Appointment

The conditions of appointment will be competitive. Commencing salary 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 contract basis for up to two 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 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, Birmingham

Salary ?37,999 - ?40,247 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 Professional Services Date posted 18/12/2024 Job reference REQ000228 Attachments attachmentAlumni Engagement Manager - JDPS - Dec 24.pdf Job description

An exciting opportunity has arisen within our Hired team to join us on a fixed-term contract as an Alumni Engagement Manager.

Hired provides careers, employability and placement services to our students and supports our alumni. You will be based in the beautiful Baskerville House and will lead on the operational delivery of our Alumni Engagement Strategy.

You will be the main point of contact for internal and external stakeholder engagement and will champion alumni activities across the University. A key element of the role will be developing and implementing a programme of events, volunteering opportunities and communications, to support and engage our diverse global alumni community.

The postholder will have experience of working within alumni relations within the HE sector along with experience of developing and implementing communication and engagement strategies.

It is an exciting time to join the university and be involved in shaping future generations by showcasing the amazing achievements of our alumni.

The role is full time, fixed term (up to 12 months)

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

Singapore

FACULTY OPENING FOR NURSING AT 色盒直播 SINGAPORE INSTITUTE OF TECHNOLOGY

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

The university’s unique pedagogy integrates clinical practice education and academic endeavour, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with clinical impact is aimed at helping the healthcare and social services sector innovate and grow.

SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges.

As a young university, we encourage innovation and seek the right candidates?to join?us in realising?our vision. We offer competitive remuneration,?generous employment benefits,?access to?funding?to undertake research of relevance to industry,?and opportunities to?inspire?and nurture?the next generation of skilled and work-ready graduates.?We currently have positions available at all levels, from Lecturer to Full Professor, for the discipline-?Nursing?in the Health and Social Sciences Cluster.

Applicants should possess:


	an earned PhD in Nursing from a reputable university,
	a nursing practitioner license,
	extensive experience in:
	
		teaching nursing courses to students or professionals
		research work in the field of healthcare, particularly in nursing
		publication in nursing services and/or clinical research.?
	
	


The appointee will be expected to undertake funded clinical-relevant research and teach courses in healthcare and nursing.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. Please contact the HSS Cluster Director, Associate Professor Tan Bhing Leet via HR_Faculty@singaporetech.edu.sg if you have any enquiries relating to these opportunities.?


Singapore Institute of Technology (SIT)

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色盒直播

University of Paris North – Paris 13

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