Gazi University

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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 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


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

Australia, Adelaide


	Based in the UniSA Allied Health and Human Performance unit at the City West campus
	Part-time (0.8 FTE), fixed term contract until 15 January 2027
	Salary: $100,322 - $133,388 (pro rata) per annum (plus 17% superannuation)


About the Role

The Research Associate or Fellow will investigate the roles of human endogenous retrovirus (part of human genome sequences) on motor neuron disease. In this position, you will conduct research activities primarily through statistical genetic analysis of large-scale multi-omics data on motor neuron disease. This position will offer the opportunity to work at all levels of research from establishing research questions through to publishing high quality research outputs.

About UniSA

The University of South Australia is Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity.

Allied Health and Human Performance

At UniSA Allied Health and Human Performance, we shape community wellbeing by educating future health professionals, producing graduates who contribute to the future health workforce. We deliver solutions-based research that addresses global health needs, working with industry and the community to solve critical health challenges. 

Core Responsibilities


	Contribute to research planning by participating in sessions, offering ideas, reviewing literature, writing papers, and attending seminars
	Contribute to research execution by managing and analysing data, exploring new methods, seeking information from various sources, and assessing resource requirements
	Contribute to disseminating knowledge by drafting reports and papers, and attending meetings and conferences
	Contribute to the preparation and development of grant and tender applications, including undertaking power calculations, literature searchers, and other tasks as required
	Contribute to the supervision of Honours, Masters and PhD students, as required


Essential Skills and Experience  

Level ARAS 


	Postgraduate qualifications in a relevant field (e.g., quantitative genetics, statistics, bioinformatics, computer programming, epidemiology)
	Knowledge and understanding of statistical genetics and experience with the analysis of complex traits
	Experience in computer programming, including working with databases and handling large data files
	A developing research record demonstrated by publications, conference papers, and other research activities
	Strong verbal and written communication skills, with the ability to present information clearly to diverse audiences and work collaboratively in a multidisciplinary team


Level BRF


	PhD in a relevant field (e.g., quantitative genetics, statistics, bioinformatics, computer programming, epidemiology) with postdoctoral research experience
	Demonstrated knowledge and extensive experience in statistical genetics and the analysis of complex traits
	Proficiency in computer programming, including database communication and handling large data files
	An evolving research record with publications, conference papers, and other research activities
	Strong verbal and written communication skills, with experience in presenting information to diverse audiences and working collaboratively in multidisciplinary teams, alongside high-level problem-solving and organizational abilities


Benefits

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as:


	Generous superannuation contributions of 17%
	Flexible working conditions
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	Various on-site services available at our campuses which may include on-site gym membership


Culture

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.  

Start Your Unstoppable Career!  

For a copy of the position description and to apply, please visit Working at UniSA. The online application form will list the specific selection criteria that you need to address.  

Please address your cover letter to Laura Gomes, Consultant: Recruitment Central. For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at recruitment@unisa.edu.au using job reference number 6854. 

Applications close: 11:30pm Sunday 12 January 2025

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on recruitment@unisa.edu.au. Anything you tell us will be kept completely confidential.  

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. 

CLICK HERE for Position DescriptionOpens in new window

How to apply:a


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please login before starting your application
	If you have forgotten your log in details, click here to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

IMPORTANT: This site is optimised for the latest versions of Internet Explorer, Safari, Firefox and Chrome. Note that earlier versions of any browsers mentioned are supported, but likely to demonstrate slower response times.

By choosing to continue, you agree to the privacy policy. Show Privacy PolicyOpens in new window


University of South Australia

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

New Zealand, Auckland

Job Description


	Seeking a truly collaborative leader in brain research who will engage research, clinical and related communities in a vision for developing a better understanding of the human brain and for improving outcomes for those affected by brain disorders.
	Live and work in New Zealand’s largest, most cosmopolitan and culturally diverse city.


The University of Auckland, Waipapa Taumata Rau, has ambitious and transformative goals to deliver top quality research and impact both locally in the Pacific region and globally.

Join us in the substantive academic position of David Levene Foundation Chair in Brain Research, and apply your leadership to ensure the next horizon of success of the Centre for Brain Research Te Huinga Hinengaro (CBR). The director (appointed on an initial 5-year term) will build on CBR’s success in developing a strong and diverse community of neuroscience scholars who seeking to understand the human brain and to develop and translate therapies and other treatments for those affected by brain disorders.

CBR is one of seven transdisciplinary University Research Centres spanning multiple faculties, disciplines and academic activities and engaged in research with the community.

Established 15 years ago, effective relationships are at the heart of its reputation as a leader in translational brain research, as demonstrated by the philanthropic and community support it values dearly.

Members of the CBR are engaged in internationally recognised research ranging from basic and laboratory science to clinical research and the promotion of population health and research that works with and through engagement with communities, particularly Māori and Pacific communities. Creating stronger ties among scientists, engineers, clinicians, potential industry partners and the community, whilst training the next generation of leaders in the field will be central to the Director’s aspriations for the CBR.

Learn more about CBR’s cutting edge research and world-class facilities, and review the position description here.

For further information and a confidential conversation, please contact Clare Litten, Manager, Academic Executive Search Service, c.litten@auckland.ac.nz

Applications must be submitted online, by the closing date of 9 March 2025

Additional Information

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.  For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit www.equity.auckland.ac.nz


Gazi University

Rankings

World University Rankings 20251201-1500^th

Arts and Humanities 2024601+

Clinical and Health 2024801-1000^th

Computer Science 2024601-800^th

Education 2024501-600^th

Engineering 2024801-1000^th

Life Sciences 2024801-1000^th

Physical Sciences 20241001+

Social Sciences 2020601+

Impact Rankings

Impact Rankings 2024801-1000^th

Good Health and Wellbeing 2024201-300^th

Quality Education 2024601-800^th

Affordable and Clean Energy 2024201-300^th

Decent Work and Economic Growth 2020201-300^th

Industry, Innovation and Infrastructure 202072^nd

Peace, Justice and Strong Institutions 2021401-600^th

Partnership for the Goals 2024801-1000^th

Discover similar universities

Key Student Statistics

Subjects Taught at Gazi University

Life Sciences801–1000^th

Education501–600^th

Arts and Humanities601+

Clinical and Health801–1000^th

Computer Science601–800^th

Engineering801–1000^th

Physical Sciences1001+

Company

Legal

Gazi University

Rankings

Arts and Humanities 2024601+

Clinical and Health 2024801-1000th

Computer Science 2024601-800th

Education 2024501-600th

Engineering 2024801-1000th

Life Sciences 2024801-1000th

Physical Sciences 20241001+

Social Sciences 2020601+

Impact Rankings

Impact Rankings 2024801-1000th

Good Health and Wellbeing 2024201-300th

Quality Education 2024601-800th

Affordable and Clean Energy 2024201-300th

Decent Work and Economic Growth 2020201-300th

Industry, Innovation and Infrastructure 202072nd

Peace, Justice and Strong Institutions 2021401-600th

Partnership for the Goals 2024801-1000th

Discover similar universities

Key Student Statistics

Subjects Taught at Gazi University

Life Sciences.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}801–1000th

Education501–600th

Arts and Humanities601+

Clinical and Health801–1000th

Computer Science601–800th

Engineering801–1000th

Physical Sciences1001+

Clinical and Health 2024801-1000^th

Computer Science 2024601-800^th

Education 2024501-600^th

Engineering 2024801-1000^th

Life Sciences 2024801-1000^th

Impact Rankings 2024801-1000^th

Good Health and Wellbeing 2024201-300^th

Quality Education 2024601-800^th

Affordable and Clean Energy 2024201-300^th

Decent Work and Economic Growth 2020201-300^th

Industry, Innovation and Infrastructure 202072^nd

Peace, Justice and Strong Institutions 2021401-600^th

Partnership for the Goals 2024801-1000^th

Life Sciences801–1000^th

Education501–600^th

Clinical and Health801–1000^th

Computer Science601–800^th

Engineering801–1000^th