Universitas Muhammadiyah Yogyakarta

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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

United Arab Emirates, Abu Dhabi

Description

The Healy Laboratory in the Chemistry Program of the Division of Sciences at New York University Abu Dhabi seeks to recruit a Post-doctoral Associate starting September 2025. Applicants with backgrounds in synthetic organic and medicinal chemistry are encouraged to apply. The research is aimed at developing an automated chemical platform for the synthesis and biological evaluation of natural products as leads for a drug discovery program. The lab and the core research facilities at NYUAD are equipped with state-of-the-art facilities for organic synthesis (https://healylab.com/).  

Applicants must have received a Ph.D. in chemistry or related subject or be within a few months from completion. We encourage applications from candidates with significant research experience in the synthesis of complex molecules, particularly polyketides. Knowledge of synthetic automation/chemical engineering, biosynthesis or chemical biology is desired, but not required. Excellent communication skills in English, ability to work in multi-disciplinary teams, and scientific creativity are essential.

The terms of employment include highly competitive salary, housing allowance and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter which describes your motivation to join the Healy Laboratory, a curriculum vitae with full publication list, a one-page summary of research accomplishments and interests, a transcript, and two letters of recommendation, all in PDF format. If you have any questions, please e-mail alan.healy@nyu.edu.

About NYUAD

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.

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.


New York University Abu Dhabi Corporation

Australia, Adelaide

Lecturer in Medicinal Chemistry (Level B) $111,030 - $131,335 per annum plus an employer contribution of 17% superannuation applies.

School of Physics, Chemistry and Earth Sciences

Continuing Level B position

Available to women and non-binary candidates only

Chemistry at The University of Adelaide invites an emerging research leader in chemistry, with expertise in Medicinal Chemistry, and a commitment and passion for undergraduate/postgraduate learning and teaching.

We are seeking a highly motivated and qualified individual to join our dynamic team as a Lecturer in Medicinal Chemistry. This is an exciting opportunity for an ambitious researcher with a passion for scientific discovery and a proven track record in chemistry. The ideal candidate will have the ability to lead innovative research, collaborate nationally and internationally, and contribute to the growth of the chemical sciences community.

Applicants should have demonstrated expertise in Medicinal Chemistry.

The successful candidate will lead and develop an independent research program in Medicinal Chemistry, establishing and maintaining strong research links with national and international research groups. They will publish original research in highly regarded scientific journals, contributing to the advancement of knowledge in the field. Additionally, the candidate will teach and mentor undergraduate students in chemical sciences, while actively engaging with the broader chemistry and scientific community by attending conferences, seminars, and contributing to collaborative research efforts.

The Discipline of Chemistry is committed to fostering a staff profile that reflects the diverse student profile in Chemistry. The STEM sector and professions in STEM have historically faced challenges with representing gender diversity, and women and non-binary people are typically underrepresented in this field. For this position, applications are sought from women and non-binary candidates only.

The University of Adelaide is committed to diversity and inclusion, welcoming and supporting all staff and students, regardless of gender, age, race, religion, ability, or sexuality. The University of Adelaide believes strongly in equal opportunity for women and has a long history of championing rights for women in higher education, being the first Australian university to admit women to academic courses in 1881.

To be successful you will need:


	A PhD in Chemistry (or related field).
	Demonstrated research excellence in Medicinal Chemistry, with a national presence, and a strong publication record in highly regarded scientific journals.
	Ability to lead an independent research program and establish meaningful research collaborations.
	Experience in teaching chemical sciences at the undergraduate level.
	Evidence of engagement with the broader chemistry and scientific community.
	Strong organizational, time management, intercultural, and interpersonal skills.
	Commitment to equity, diversity, and inclusion within the research and educational environment.


We offer a supportive and collaborative environment where you can further develop your career in chemistry and contribute to impactful research. If you are a driven researcher committed to excellence in teaching and research, we encourage you to apply

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs including significant industry, government and community collaborations offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. The cutting-edge nature of our work, not just in your own area, but across virtually the full spectrum of human endeavour provides a constant source of inspiration.

Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance. 

Learn more at: set.adelaide.edu.au

If you want to change tomorrow, act today

Click on the link below to be taken through to the online application form.

Please submit your:


	cover letter
	curriculum vitae
	statement of research interests
	statement addressing the selection criteria as listed in the Selection Criteria document.


Applications close Tuesday, 11:55pm, 11 February 2025

https://careers.adelaide.edu.au/cw/en/job/515560/lecturer-medicinal-chemistry

For further information

For a confidential discussion regarding this position, please contact:

Tak W. Kee
Discipline Lead/Head of Chemistry
School of Physics, Chemistry & Earth Sciences
P: +61 (8) 8313 5314
E: tak.kee@adelaide.edu.au

Professor Christopher Sumby
Head of School
School of Physics, Chemistry & Earth Sciences
E: christopher.sumby@adelaide.edu.au

***The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified***

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.


The University of Adelaide

New Zealand, Wellington


	Are you interested in a four-year contract, which includes teaching in China for periods of up to 20 weeks at a time throughout the year?
	Can you engage effectively with industry, government, academics, professions, and diverse communities?
	Have you got extensive teaching experience in programming, cybersecurity, and computer?


Kōrero mō te tūranga - About the role

Te Herenga Waka - Victoria University of Wellington is currently recruiting a Pūkenga - Lecturer (Teaching) in Software Engineering to join the Te Kura Mātai Pūkaha, Pūrorohiko - School of Engineering and Computer Science on a four-year, fixed-term contract.

This position represents a chance to join and help shape a collaborative teaching and learning experience for Victoria University and Xiamen University students and staff. All areas of Software Engineering are of interest, but applications are particularly welcome from candidates with extensive teaching experience in programming, cybersecurity, and computer.

Key responsibilities:


	Provide high quality and critically reflective teaching practices
	Contribute to innovations in learning, teaching, and assessment within the discipline, including demonstrating digital fluency
	Contribute to the review and re-design of programmes and courses
	Engage in regular professional development that leads to enhanced teaching practice and where relevant, inclusion of practitioner perspectives
	Contribute to the collegial development of the Programme, Academic Unit and Faculty through respectful and transparent interactions with colleagues
	Undertake job evaluations in accordance with the University's remuneration framework and job evaluation


It is expected that the appointee will contribute to teaching across three trimesters. You will be required and expected to teach in China for periods of up to 20 weeks at a time throughout the year and will be based in New Zealand at Victoria University of Wellington for the remainder.

Ō pūmanawa - About you

You will:


	Be a motivated, student-focused individual who listens to and understands the needs of students and meets those needs through a professional, courteous, and empathetic approach
	Hold a high level of integrity at both a personal and academic level and commit to maintaining high professional and academic standards
	Be an individual with strong communication skills both orally and written in a variety of ways to suit the situation and needs of the recipients
	Be collegial and deal with colleagues and others in a respectful and fair way
	Consider equity/diversity perspectives when interacting with colleagues and students alike
	Be willing to build and maintain positive and beneficial internal and external relationships.


Key requirements:


	A completed PhD in a relevant field, or other relevant qualifications commensurate with the role
	Good interpersonal skills and demonstrated ability to work with students and staff from a diverse range of backgrounds


Demonstrated evidence of:


	Successful teaching in a relevant field at tertiary level
	Developing skill with a range of pedagogies and technologies
	Good oral and written communication skills.


Role description - Click here to see further information, including salary information.

There are many benefits to working at Te Herenga Waka - Victoria University of Wellington, including being part of New Zealand's top research University.

Contact details for vacancy

If you have any questions regarding this role please get in touch with Craig Watterson (craig.watterson@vuw.ac.nz).

When applying for this position, candidates must submit supporting documents along with their resume, such as a cover letter and working visa. Applicants who do not have residency or citizenship and require a visa to work at the University must clearly indicate their visa status in their application and understand that if they do not have a current, relevant visa, they will need to secure this independently.

Reference 1007115


Victoria University of Wellington

Finland, Helsingfors (Helsinki)

Lammi Biological Station is one of three research stations in the Faculty of Biological and Environmental Sciences at the University of Helsinki, along with Tvärminne Zoological Station and Kilpisjärvi Biological Station. At the station, research, teaching and meeting activities are year-round. The station serves the entire university.

Lammi Biological Station of the University of Helsinki applies for its service:

LABORATORY TECHNICIAN

for fixed-term employment 3.3.-31.12.2025. Lammi Biological Station laboratory conducts water analyses from natural waters to the university's own long-term studies, research projects, course needs, and commissioned studies for all customers.

The laboratory technician's duties include preparation of water samples, laboratory analyses, result verification and delivery of analysis results, filing, compilation of billing information, and tasks related to quality control of the laboratory. Laboratory technicians are expected to have knowledge of the following analyses: nutrient analyses (P and N), pH, turbidity, conductivity, alkalinity, color, oxygen, CODM, chlorophyll. Advantage is the experience of carbon and cation determinations, or other laboratory special skills.

The task is suitable for a careful and accurate employee with experience in laboratory work. The task requires an independent and responsible approach. The position requires good Finnish or English language skills, as well as basic IT skills. The training of a laboratory analyst, for example, provides good preparation for the task. The work will start on 3 March 2025 or by agreement. Lammi Biological Station Laboratory is a peaceful working environment, where the responsibilities and job description of the announced position are clear. There is possibility for affordable accommodation options within the Lammi Biological Station.

The salary of the position is based on the salary system of the universities and the total salary is c. 2400-3200 €/month depending on the experience and education of the person to be selected.

External applicants, please submit your application using the University of Helsinki Recruitment System via the Apply Now button.

Applicants who have a helsinki.fi username and a valid employment contract, a grant researcher's contract or a visiting researcher's contract at the University of Helsinki are requested to leave their application by using the Employee Login button.

For more information, please contact Matti Kotakorpi, Research infrastructure chief, matti.kotakorpi@helsinki.fi, 050 357 3126 (accessible from 2.1.2025)

Announcement to be published: before Christmas

Application period ends: 19.1.2025


Universitas Muhammadiyah Yogyakarta

About

Rankings

World University Rankings 20251501+

Impact Rankings

Impact Rankings 2024601-800^th

No Poverty 2024301-400^th

Zero Hunger 2024101-200^th

Good Health and Wellbeing 2024401-600^th

Quality Education 2024401-600^th

Clean Water and Sanitation 2024301-400^th

Decent Work and Economic Growth 2024101-200^th

Reduced Inequalities 2024601-800^th

Peace, Justice and Strong Institutions 2024601-800^th

Partnership for the Goals 2024601-800^th

Discover similar universities

Key Student Statistics

Company

Legal

Universitas Muhammadiyah Yogyakarta

About

Rankings

Impact Rankings

Impact Rankings 2024601-800th

No Poverty 2024301-400th

Zero Hunger 2024101-200th

Good Health and Wellbeing 2024401-600th

Quality Education 2024401-600th

Clean Water and Sanitation 2024301-400th

Decent Work and Economic Growth 2024101-200th

Reduced Inequalities 2024601-800th

Peace, Justice and Strong Institutions 2024601-800th

Partnership for the Goals 2024601-800th

Discover similar universities

Key Student Statistics

Impact Rankings 2024601-800^th

No Poverty 2024301-400^th

Zero Hunger 2024101-200^th

Good Health and Wellbeing 2024401-600^th

Quality Education 2024401-600^th

Clean Water and Sanitation 2024301-400^th

Decent Work and Economic Growth 2024101-200^th

Reduced Inequalities 2024601-800^th

Peace, Justice and Strong Institutions 2024601-800^th

Partnership for the Goals 2024601-800^th