Q 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 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

United Kingdom, Newcastle upon Tyne

ABOUT THE ROLE

This is an exciting opportunity to contribute to a ground-breaking project focused on developing sustainable cooling systems, with an emphasis on advancing energy-efficient technologies for air conditioning. As a Senior Postdoctoral Research Fellow, you will play a central role in technology development, project execution, data collection, and analysis, while also providing critical guidance on system design to ensure innovative and practical solutions.

The project aims to address the challenge of improving cooling efficiency for all applications, prioritizing sustainability, and scalability. Your role will involve collaborating with academic and industry partners from both the UK and Pakistan, fostering impactful results and driving advancements in sustainable cooling technologies.

This position offers a unique chance to work at the intersection of cutting-edge research and real-world application, contributing to a high-impact initiative that bridges academia and industry while addressing global environmental challenges.

This role is fixed term for?36 months.

ABOUT THE TEAM

Find out more about Mechanical Engineering at Northumbria University:?https://www.northumbria.ac.uk/about-us/academic-departments/mechanical-and-construction-engineering/research/

ABOUT YOU

Further information about the requirements of the role is available in the?person specification.

Please contact project lead Dr. Muhammad Wakil Shahzad (muhammad.w.shahzad@northumbria.ac.uk) for additional information and an informal phone conversation.

To apply for this vacancy please click 'Apply Now'. Your application should include a covering letter and a CV.

ABOUT US

Northumbria University is a research-intensive university that unlocks potential for all.? We change lives regionally, nationally, and internationally through education and research, tackling the global challenges of our age to transform society and the economy. Find out why we were named?成人VR视频’s University of the Year in 2022?and?Modern University of the Year?in The Times and Sunday Times Good University Guide 2025.

Northumbria recorded the biggest rise of any UK university for research power in the Research Excellence Framework for the second time in 2021 and is now ranked top 25 in the UK for this measure.

One of the largest universities in the UK with over 37,000 students from more than 140 countries, filled with world-leading research, award-winning partnerships, and students at the heart of an outstanding experience. Discover more?about us.

Northumbria University is a great place to work. We empower our exceptional people to achieve shared ambitions and promote a positive work life balance. We offer a wide range of benefits including excellent pension schemes, flexible working, a generous holiday entitlement, continued commitment to your learning and development and?more.

Our Northumbria Values are guiding principles that define who we are, what we do and what is important to us. Our Values are:?Academic Excellence;?Innovation;?Inclusivity;?Collaboration; and?Ambition.

Our Behaviours describe how we do things and how we work together at Northumbria, reflecting our culture and our decision-making. Our Behaviours are:?We listen and learn, we support one another to success, we respect everyone and their contributions, we trust in ourselves and each other?and?we are bold.

Our Values and Behaviours were co-created by colleagues from a range of roles across the University, who worked collaboratively to consider what it feels like to work for Northumbria, and where we need to continue to transform together to achieve what’s important to us.

Please visit?Our Values and Behaviours?page to find out more.

We are an on-campus organisation where colleagues work regular patterns of hours and on campus, with some flexibility on the timing of their hours and the location of their work in discussion with their manager. Our campus locations include our City and Coach Lane Campuses in Newcastle upon Tyne and our London campus.

Northumbria University is committed to creating an inclusive culture where we take pride in, and value, the diversity of our staff. We encourage and welcome applications from all members of the community.?The University holds bronze Athena Swan and Race Equality Charter awards in recognition of our commitment to advancing gender and race equality, we are a Disability Confident Leader and are participating in the Stonewall Diversity Champion Programme. We also hold the HR Excellence in Research award for implementing the concordat supporting the career Development of Researchers and are members of the Euraxess initiative to deliver information and support to professional researchers. The University has implemented a range of flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process.

We are committed to keeping your data safe so it's important for you to know how we use any personal data you give us. For more detailed information, access our?Privacy Policy.


Northumbria University, Newcastle

United Kingdom, Durham

The Departments of Computer Science and Law at Durham University seeks to appoint a talented individual to the role of Assistant Professor. This is a permanent position. We are seeking a talented researcher with expertise in AI and Natural Language Processing (NLP), particularly with a focus on AI and NLP applications in legal compliance control.

This post offers an exciting opportunity to make an important contribution to the development of research in Computer Science (https://www.durham.ac.uk/departments/academic/computer-science/) and Law (https://www.durham.ac.uk/departments/academic/law/research/). It supports the newly founded JusTN0W initiative (https://www.durham.ac.uk/research/institutes-and-centres/csdlp/justn0w/), which takes place within the Centre for Sustainable Development Law and Policy (https://www.durham.ac.uk/research/institutes-and-centres/csdlp/). JusTN0W aims to develop a world-leading interdisciplinary work programme, to research sustainable and just solutions for accelerated decarbonisation of economies. The university has committed to invest ?5M over four years in this groundbreaking project.

The successful candidate will play a leading role in the development of this new initiative, dedicating the first four years primarily to this work. They will benefit from a reduced teaching load and a startup travel budget to support high-quality research, grant applications, and initiatives to engage other staff in JusTN0W-related opportunities. After four years, the appointment will be reviewed based on grant income and may transition to a primarily research role or an Education and Research Track position with a standard teaching load.

This post offers an exciting opportunity to make a major contribution to the development of internationally excellent research and teaching while allowing you unrivalled opportunities to progress and embed your career in an exciting and progressive institution. For more information, please visit our Department pages at https://www.durham.ac.uk/departments/academic/computer-science/?and https://www.durham.ac.uk/departments/academic/law/

The Department of Computer Science is one of the UK's leading Computer Science departments, with an outstanding reputation in research, teaching, and student employability. Our internationally recognised research covers Algorithms and Complexity, Artificial Intelligence and Human Systems, Networks, Scientific Computing and Vision, Imaging and Visualisation. There is a lively research culture with many visitors and events, and collaborations locally, nationally and internationally. In the recent UK research assessment exercise REF2021 we improved by six places in the ranking. The Department has recently grown rapidly, and now has more than 50 permanent members of academic staff. The Department has a proud tradition of excellence in its undergraduate and postgraduate programmes. The Department holds an Athena SWAN Silver award.

Durham Law School is a leading law school. Consistently ranked in the Top 10 nationally and Top 50 globally, it comprises a community of over 100 academics and professional support staff. It has an infrastructure of high-profile research centres that brings together colleagues for collaborative projects. The School has an extensive network of leading international partner institutions and close ties with the City of London and the Inns of Court. Our top-ranked global law courses are very competitive with an excellent and diverse student population from across the world delivering a cutting-edge, research-led curriculum. Our Law School is also proud to hold the Athena Swan Bronze award. Athena SWAN is a national initiative that recognises the advancement of gender equality, representation, progression and success for all in academia.

The role is full-time, but we will consider requests for flexible working arrangements including potential job shares.


Durham University

United Kingdom, London

Financial Compliance & Operations - Payroll

Location: Avery Hill Campus
Salary: ?37,999 to ?43,878 plus ?5400 London weighting per annum
Contract?Type: Permanent
Closing?Date: Thursday 16 January 2025
Interview?Date: See advert
Reference: 4825

The University is looking to appoint an experienced Deputy Payroll and Pensions Manager to support its dynamic Payroll Team within the Finance Directorate. The ideal candidate will have expertise in interpreting payroll regulations and a strong ability to stay updated with changes in taxation, pensions, and national insurance legislation.

We are seeking a candidate with extensive payroll experience to support our Payroll and Pensions Manager and Payroll Team, and while experience in the UK higher education sector is desirable, it is not essential. A solid foundation in payroll and pension processes and excellent communication skills are required to effectively support the team and ensure the smooth operation of payroll functions.

For an informal discussion about the post please contact Sammy Fraser at?s.fraser@greenwich.ac.uk

Should you have any recruitment related queries please contact the People Directorate Operations Team on?peopleoperations-cfo@greenwich.ac.uk

Interviews are scheduled to take place w/c 27th January 2025.

We operate a hybrid working policy, as set out in the University’s?Working Principles and Guidelines.

Further details of the fantastic benefits and what we offer can be found here:?Our benefits - what we offer | Jobs and careers | University of Greenwich

To apply, please visit the University of Greenwich vacancies page and complete all details, including the supporting statements (please note attached CVs and personal statements will not be seen by the recruitment panel at the application stage).?Current Vacancies - Jobs at Greenwich

We are looking for people who can help us achieve our?Strategic Plan,?through the values we expect for our whole university community, of being Inclusive, Collaborative and Impactful.

The university welcomes people from diverse and underrepresented communities who can help the university to achieve its mission.

We do this through taking positive action such as encouraging applications from Black, Asian and Minority Ethnic, disabled and LGBT+ people. As part of our commitment to?Equality, Diversity and Inclusion, Time to Change Employer Pledge/Mentally Healthy Universities, we are committed to promoting and supporting the physical and mental health of all our staff, and removing barriers to improve inclusion.

We encourage applicants to disclose experience of mental health problems so we can support them fully during our recruitment process and make any necessary reasonable adjustments. Any information disclosed will be kept confidential and separate from the job application form.

We are making significant strides to understand and continuously improve our employees’ experience and we are committed to implementing progressive diversity talent management.


University of Greenwich

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 Tv?rminne Zoological Station and Kilpisj?rvi 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


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