National Institute of Applied Sciences, Strasbourg (INSA Strasbourg)

成人VR视频

Overview

For Students

For Professionals

Basic information and contact details for National Institute of Applied Sciences, Strasbourg (INSA Strasbourg)

About National Institute of Applied Sciences, Strasbourg (INSA Strasbourg)

Contact National Institute of Applied Sciences, Strasbourg (INSA Strasbourg)

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

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 Arab Emirates, Abu Dhabi

Description

We are inviting applications for a Post-doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, demography, or a related discipline. This is a three-year appointment and will begin September 1, 2025, subject to final budget approval.?

The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Sabino Kornrich and Luca Maria Pesando. The collaborative research will focus on parenting in an international or comparative perspective, ideally using experimental and quasi-experimental methods to examine parenting norms.

?We seek a candidate with expertise in childhood, parenting, or the family broadly, and with interest in inequality and social stratification. An ideal candidate would also have strong methodological skills, either quantitative or qualitative, and have some exposure to survey experiments in the social sciences.

?The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science.

?For consideration, applicants must submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, and two letters of reference, all in PDF format. If you have any questions, please email Sabino Kornrich at?sk8433@nyu.edu.

About NYU Abu Dhabi

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

?Working for NYUAD

To help Postdoctoral Associates and faculty thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click?here?for more information on benefits for you and your family.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR:?www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Deadline:?Feb 14, 2025 at 11:59 PM Eastern Time


New York University Abu Dhabi Corporation

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 成人VR视频 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 成人VR视频 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

$122,830 - $145,858 p.a. + 17% superannuation

Australia, Camperdown


	Full time, continuing position. Located at the Faculty of Science on the Camperdown Campus
	Exciting opportunity for a Lecturer to join the School of History and Philosophy of Science
	Base Salary Level B, $122,830 - $145,858 p.a. + 17% superannuation 


About the opportunity

The School of History and Philosophy of Science is seeking a Lecturer in History and Philosophy of Science (HPS) for a full time, continuing position.

The successful candidate's teaching duties will include the history of science or medicine in Asia or the Pacific, with the ability to address problems in the global history of knowledge.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Lecturer in History and Philosophy of Science (HPS) who has:


	a PhD and publications in relevant fields
	research interests in the history of science or medicine
	we particularly welcome applications from scholars who engage with connections and exchange or knowledge practices across traditions and regions.


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.

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

Please address the selection criteria in your application (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.

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

Thursday 20 February 2025 11:59 PM


The University of Sydney

United Kingdom, Bedford

Faculty or Department:?Faculty of Engineering and Applied Sciences
Based at:?Cranfield Campus, Cranfield, Bedfordshire
Hours of work:?37
Contract type:?Permanent
Salary:?Full time starting salary is normally in the range of: Lecturer: ?48,039 to ?57,797 with potential progression to ?70,000 per annum Senior Lecturer: ?60,099 to ?69,505 per annum with potential progression up to ?85,000 per annum.
Apply by:?24/01/2025

Role Description

We welcome applications for this exciting permanent academic post from passionate Avionic specialists to join our highly successful Centre for Aeronautics Aircraft Design Group who want to make a significant impact in shaping, and the future direction, of our Centre’s portfolio of research, design and consultancy activities in the areas of avionic systems design and integration.

About the Role

You will be responsible for the development and delivery of high-quality teaching at postgraduate level in avionic systems design and integration and world leading research in areas of interest relevant to future aerospace industry requirements. Our academics are supported and encouraged to build their research teams and wider networks through successful research funding applications. The role is challenging and involves planning, integrating and coordinating diverse responsibilities in research, consultancy, project management, teaching and research student supervision.

About You

For this opportunity, we are looking for a suitably qualified and experienced individual, and actively encourage applicants from industry (aerospace) or those with related industry experience who wish to develop their career in an environment which provides a greater degree of personal autonomy with respect to research activities than is commonly found in an industrial environment. Experience of high impact, cross-disciplinary and industrially relevant research will be advantageous. At the Senior Lecturer level, we expect the candidate to provide leadership, such as in course management, business development, preparing large funding bids, acting as a Principal Investigator on large, funded research projects and managing collaborative networks of researchers linked with industry.

You will be educated to doctoral level in a relevant subject or have equivalent extensive industry experience. With a track record and solid experience of R&D related to Avionics design or systems together with evidence of collaborative working with other discipline specialists, you will also have the ability to develop business opportunities and attract income.

With excellent communication & influencing skills, you will ideally have teaching experience at postgraduate level and professional development courses. Highly computer literate, expertise in programming would be ideal.

About Us

As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact?here.

Aerospace is at the heart of Cranfield’s global research airport and is renowned throughout the world for its teaching and research in the fields of aviation and aerospace. Cranfield’s six centres are the powerhouses of our world class research, driving technological and conceptual advances in?aeronautics, propulsion engineering, cyber-physical systems and intelligent automation. Through the strong links with industry built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future and are the only university in Europe with our own airport and runway. Cranfield Aerospace is internationally recognised as the first choice for research and education in all aspects of aerospace including aircraft, drones, urban air mobility and space.? Find out more about our work here?About Aerospace.

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more?here.

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity?Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working?here.

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.

How to apply

For an informal discussion about this opportunity, please contact Prof Howard Smith on?Howard.smith@cranfield.ac.uk

Please do not hesitate to contact us for further details on E:?hrrecruitment@cranfield.ac.uk. Please quote reference number 4983

Closing date for receipt of applications: 24 January 2025

This role may require you to have the ability to obtain UK Security Clearance


Cranfield University

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 National Institute of Applied Sciences, Strasbourg (INSA Strasbourg)

Key Student Statistics

World University Rankings 2025

Select the type of rankings below to see stats

See below for a range of subjects taught at National Institute of Applied Sciences, Strasbourg (INSA Strasbourg)

Subjects Taught at National Institute of Applied Sciences, Strasbourg (INSA Strasbourg)

成人VR视频

National Institute of Applied Sciences, Strasbourg (INSA Strasbourg)

About

Rankings

World University Rankings 20251201-1500^th

Discover similar universities

Key Student Statistics

Company

Legal