American University of Nigeria

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Quality Education

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Affordable and Clean Energy

Decent Work and Economic Growth

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Reduced Inequalities

Sustainable Cities and Communities

Climate Action

Life below Water

Peace, Justice and Strong Institutions

Partnership for the Goals

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Finland

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Aalto University School of Business is the leading business school in Finland. The School belongs to the select group of business schools that have been granted the most important international quality accreditations in its field. It aspires to be among the best business schools in Europe in terms of research excellence, a portfolio of pioneering B.Sc., M.Sc., Ph.D., and executive education programs, and contributions to society.

The Department of Management Studies invites applications for

POSTDOCTORAL RESEARCHER IN SUSTAINABILITY IN BUSINESS (2+1 years)

We are now looking a junior academic interested in research and teaching in the domain of sustainable business. The position is within the Organizations and Management discipline in the Department of Management Studies of Aalto University Business School.

About us

The department hosts a strong Sustainability in Business research group. The group is specialized in innovations towards sustainability, including circular economy, governance and institutions, and sustainability transitions. In addition to active publishing, the group is active in collaboration with companies and other stakeholders as well as creating societal impact. The department also has more general research groups on organization and management studies, focusing on diverse topics within organization theory, strategy and organizational behavior. Moreover, the department has a lively, international research community with numerous doctoral students and post-doctoral researchers from several countries. The working language at the department is English.

Department of Management Studies has existing research on organizing for sustainability, sustainability innovation, business models for sustainability and alternative economies. This work offers a basis for rethinking how businesses operate, how new actors and individuals can make contributions to sustainability and how sustainability debates unfold across societies and different global contexts.

The position is related to a new six-year inter-disciplinary project focusing on sustainable freshwater use and water stewardship. The management research in the project will focus broadly on water stewardship activities in multinational value chains as well as collective governance for water security and sustainability. For the applicants, existing research on topics such as environmental sustainability in management studies (esp. relating to water), cross-sector collaboration, legimacy and power, stakeholder theory, and governance of commons are considered as merits. Empirically, the project is primarily focused on qualitative approaches, so methodological skills in qualitative research are essential for the role.

Our expectations

The postdoctoral position is intended to allow the chosen researcher to pursue their own research agenda and to develop personal competencies. We expect the candidate to conduct high quality research and aim to publish in the leading international journals. The position is associated with a low teaching load.

We look for scholars who have completed their Ph.D. within the last four years, or are about to complete it. The Ph.D. is expected to be in a relevant field of study (such as management studies, social sciences, organizations and sustainability), but applicants from other areas may also be considered. The applicants should have demonstrated the ability to teach competently and to publish internationally. The position requires fluent skills in the English language. Finnish and other language skills are a merit.

Postdoctoral researchers are required to be in residence for the duration of the appointment, as we are looking for a member in our lively, welcoming departmental community. The appointment can begin Spring 2025, but the dates of the employment relationship can be negotiated. The position will be two years with a potential extension into a third year.

We offer 


	We offer you a full-time position for 2
	Thriving sustainability research community
	Stimulating research and working environment in one of the leading international universities
	Possibility to pursue cutting-edge research with a wide community of sustainability scholars and opportunities to participate in ground-breaking multi-disciplinary sustainability research.
	Possibility to attend of international academic conferences
	A salary, which will be defined according to Aalto University´s payroll system. As an employer, Aalto University provides excellent learning and development opportunities as well as occupational health care services, versatile exercise services and other employee benefits.


Aalto University also provides health care and retirement benefits. Finland is known for high quality of life, great work-life balance, clean nature, and family-friendly policies such as affordable high-quality daycare and free schools. Helsinki is a vibrant international city with a metropolitan area population of over 1.1 million people.

How to apply

If you want to join our community, please submit your application enclosing all relevant documents through our recruitment system Workday no later than February 16 , 2025 at 23:59 EET (UTC+2). Aalto University’s employees and visitors should apply for the position by using their existing Workday user account. Please see how to do it here.

To apply, please share the following application materials with us in English as a single file in PDF format (‘lastname_firstname_application.pdf’):


	Cover letter
	Curriculum Vitae
	List of publications (with five most significant publications highlighted)
	Names and contact information for two references
	A list of teaching experience
	A research plan for the postdoctoral period (1-2 pages)


Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.

For more Information

For inquiries about this position, please contact Prof. Samuli Patala (samuli.patala(at)aalto.fi) ). In questions related to the recruitment process, please contact HR Partner Jenna Knuutinen, jenna.knuutinen(at)aalto.fi. Please note that applications will be reviewed only after application time will expire and all candidates will be informed about the following process only after that. Please, do not send any attachments to HR via e-mail, all documents shall be provided through Workday -recruitment tool.

About Finland

Finland is a great place for living, both with or without family: it is a safe, politically stable and well-organized Nordic society which is consistently ranked highly in quality-of-life studies. Helsinki has been praised as one of the world’s most livable cities, e.g. by Monocle Magazine and in the Economist Intelligence Unit livability rankings. The World Happiness Report 2020 ranked Helsinki as the city with the highest well-being in the world. For more information about living in Finland: https://www.aalto.fi/en/services/why-finland

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

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


Australia, Geelong


	Based at our Geelong, Waurn Ponds Campus
	Part-time 0.6FTE and fixed-term for 2 years
	Level A $76,985 - $103,493 + 17% Superannuation (pro rata, part time)


Who are we?

Deakin University stands as a shining beacon of excellence in the world of higher education.  Deakin is renowned for its unwavering commitment to innovation, research, and inclusivity. With a strong emphasis on cutting-edge research and a diverse, globally-connected community, Deakin provides an unparalleled educational experience. Here, students not only gain knowledge but also develop the skills and mindset needed to thrive in a rapidly evolving world. Discover the thrill of intellectual exploration and let Deakin's passion for learning and innovation ignite your own, as you prepare to shape the future with confidence and purpose.

The Faculty of Health is dedicated to being at the forefront of teaching, learning, creating and social development and fostering cutting-edge research and discovery. The School of Medicine places high emphasis on research that makes a difference and is solution-led. We work closely with industry partners and the government to put findings into practice.

The associate lecturer will contribute academic to the delivery of the anatomy and pathology practical program in the School of Medicine. They will work with other team members to facilitate student learning of anatomy and pathology across the schools’ programs. The appointee will promote the Faculty within the academic and professional communities in Australia, contributing to the Faculty’s teaching and program development initiatives. The appointee will liaise with students at all levels.

As Associate Lecturer in Medical Science, you will:


	Assist in applying discipline knowledge into student learning experiences to support success and engagement.
	Support innovation in curriculum design and deliver learner-centric, research-informed teaching practices across different levels / modes of delivery.
	Maintain deep discipline knowledge which is applied to inform curriculum design.
	Facilitate collaborative learning opportunities for students and provide academic mentoring and support
	Assist course teams in integrating new pedagogical research across all aspects of education.


To be successful, you’ll have: 


	PhD in a relevant discipline and/or other relevant qualifications and experience
	Demonstrated knowledge of anatomy and pathology and its delivery in an educational setting
	Excellent record of scholarly learning and teaching in UG and/or PG programs.
	Demonstrated capacity and passion for teaching, research and facilitation of student learning.
	Demonstrated capacity to provide academic support and guidance to students, ensuring an inclusive and positive learning environment.


Here's how to apply: 

Please submit your updated resume, a short cover letter and responses to the Key Selection Criteria.

For a confidential discussion regarding this role, please contact Janet McLeod, Associate Head of School (Learning and Teaching) on janet.mcleod@deakin.edu.au

Please note, Deakin university is closed for the Christmas period from Monday 23 December 2024 to Wednesday 1 January 2025 inclusive.

For a copy of the position description, please see below:  PD - Associate Lecturer in Medical Science.pdf

Applications for this position close 11.55pm on Monday 20 January 2025.

Why work with us?

At Deakin you will have access to benefits such as a variety of leave options including generous parental leave and the ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus.

Are You Ready?

Deakin is a Victorian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community.

We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success.

We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.


Deakin University

Ireland, Maynooth

Department: School of Business
Vacancy ID: 032841
Closing Date: 12-Jan-2025

We are seeking a highly motivated and skilled candidate to join our team as a Research Assistant, providing essential research and support to our dynamic and productive academic department. This role will involve significant contributions to the research teams working on the EU Horizon RIA project FLOW, focusing on the seamless development of user interface (UI) and user experience (UX) for an innovative EV mobile application in the renewable energy sector. The Research Assistant will play a key role in supporting the UI/UX development process, including contributing to the design and optimization of user-friendly features tailored to EV application users, assisting with iterative improvements to enhance functionality and performance, identifying and resolving bugs in the application, and aiding in the preparation of technical reports and documentation.

Research Assistant Level 1 (2024) Salary Scale: €31,962 p.a. (1 point)

Appointments will be made in accordance with public sector pay provisions.

Closing Date: 

23:30hrs (local Irish time) on Sunday, 12th January 2025

Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.

Late applications will not be accepted.

Maynooth University is an equal opportunities employer

The position is subject to the Statutes of the University


Maynooth 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.


American University of Nigeria

About

Impact Rankings

Impact Rankings 2024801-1000^th

No Poverty 2024101-200^th

Good Health and Wellbeing 2024801-1000^th

Quality Education 20241001-1500^th

Gender Equality 20241001+

Affordable and Clean Energy 2024601-800^th

Decent Work and Economic Growth 2024801-1000^th

Industry, Innovation and Infrastructure 2024601-800^th

Reduced Inequalities 2024801-1000^th

Sustainable Cities and Communities 2024801-1000^th

Climate Action 2024601-800^th

Life below Water 2024601+

Peace, Justice and Strong Institutions 2024201-300^th

Partnership for the Goals 2024801-1000^th

Discover similar universities

Company

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American University of Nigeria

About

Impact Rankings

.css-1lk1zhk{display:block;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;}Impact Rankings 2024.css-4ju6x1{display:block;font-size:1.25rem;line-height:1.375;font-weight:600;color:#595959;}.css-4ju6x1>sup{font-size:65%;display:inline-block;width:0;word-wrap:normal;}801-1000th

No Poverty 2024101-200th

Good Health and Wellbeing 2024801-1000th

Quality Education 20241001-1500th

Gender Equality 20241001+

Affordable and Clean Energy 2024601-800th

Decent Work and Economic Growth 2024801-1000th

Industry, Innovation and Infrastructure 2024601-800th

Reduced Inequalities 2024801-1000th

Sustainable Cities and Communities 2024801-1000th

Climate Action 2024601-800th

Life below Water 2024601+

Peace, Justice and Strong Institutions 2024201-300th

Partnership for the Goals 2024801-1000th

Discover similar universities

Impact Rankings 2024801-1000^th

No Poverty 2024101-200^th

Good Health and Wellbeing 2024801-1000^th

Quality Education 20241001-1500^th

Affordable and Clean Energy 2024601-800^th

Decent Work and Economic Growth 2024801-1000^th

Industry, Innovation and Infrastructure 2024601-800^th

Reduced Inequalities 2024801-1000^th

Sustainable Cities and Communities 2024801-1000^th

Climate Action 2024601-800^th

Peace, Justice and Strong Institutions 2024201-300^th

Partnership for the Goals 2024801-1000^th