Rabdan Academy

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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 中国A片 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 中国A片 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

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


University of Helsinki

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 中国A片. 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 is well positioned to take lead as 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:

Associate Professor / Assistant Professor
Department of Accountancy
(Post Ref.: 24/379)

The Department is now inviting applications for the post of Associate Professor / Assistant Professor. The appointee is expected to contribute to high quality research, teaching, and service.

General Requirements

Candidates should have a PhD degree in Accountancy. For appointment as?Associate Professor, candidates should have at leave five years of relevant experience and a sound track record in research and scholarly activities. For appointment as?Assistant Professor, candidates should have relevant teaching experience, a good research record and must demonstrate good potential in publishing high-quality papers. Top-tier publications and successful GRF applications will be advantages.

Lingnan University pursues excellence in both teaching and research. The appointee is expected to apply for external competitive grants, and commit to teaching excellence and active services to the Department, the Faculty, and the University. Applicants are required to provide information on their work experience, qualifications, research records, and evidence of quality teaching. Excellent communication and presentation skills are essential. Administrative experience in university departments would be an advantage.

Appointment

The conditions of appointment will be competitive. The rank and remuneration 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 an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation.

Application Procedure?(online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references.?Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer.?Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

United Kingdom, Southampton

Looking for a place where your skills are not just valued, but essential??Join our passionate and innovative teams, where every idea matters, and every team member makes a tangible impact!

Due to continued investment within our Research Management teams we are looking to recruit three Assistant Research Managers to join our teams within our?National Institute of Health and Care Research?(NIHR) co-ordinating centre in Southampton.?

Who are we?

The NIHR funds, enables, and delivers world-leading health and social care research that improves people's health and wellbeing and promotes economic growth. Our research helps turn discoveries into new or improved treatments, diagnostics, medical technologies, and services. It provides those working in the NHS, public health, global health, and social care with the evidence they need to better support patients, the public and people who need care.

What will you be doing?

You will work closely with colleagues within part of the research management lifecycle, to ensure the delivery of defined areas of work. You will:


	support the high-quality delivery, and continuous improvement, of a specified part of the research management lifecycle.
	advise internal and external customers on specialist defined procedures and processes.
	oversee the administrative processes including supervising the work of administrators, organising events, and attending meetings.
	act as an expert on relevant systems, keeping them updated and ensuring the information is of a high quality.


Who are we looking for?

Our ideal candidate will be hard-working, dedicated, and flexible in their approach to work. Some of the key skills that are required to be successful in this role are:


	Excellent communication and interpersonal skills?with a wide range of stakeholders
	Ability to accurately interpret and analyse complex information and present in a clear and concise format.
	Ability to offer proactive guidance and advice to internal and external customers, whilst dealing with confidential information in a sensitive manner
	Able to effectively allocate work to staff, check work, and to motivate and train staff as required.
	Ability to successfully plan and prioritise your own workload.
	To have a good understanding of the health and care research landscape


?What can we offer you?

We recognise that our staff are at the heart of what we do so we make sure we look after you! As well as a generous benefits package (full details can be found?here!), as an organisation we prioritise your wellbeing as reflected in our award as?Top Medium Employer?in the?Mind Workplace Wellbeing awards, achieving Gold for the?fourth?year in a row!

Our hybrid working approach helps you with your work life balance and offers you the chance to split your time between office and home working. We strive for cohesive and collaborative teams so our expectation is you spend around 20% of your time in the office. We also value flexibility and may accommodate part-time arrangements up to 28 hours.

To learn more about working in our teams visit our?website,? or check out the video below

We value the diverse perspectives that enrich our teams. We warmly welcome applications from candidates of all backgrounds, recognizing that varied viewpoints propel our collective accomplishments and further the NIHR's mission.

For further information or an informal discussion, please contact us at?hei-resourcing@soton.ac.uk


University of Southampton

United Kingdom, Glasgow

Closing date: 03/01/2025
Salary Range: ?34,866
FTE: 1
Contract Type: Fixed Term (1 year)

The Research Assistant, alongside PhD and other PDRA workers assigned to the project will design and enable the synthesis of novel small molecule inhibitors of the Androgen Receptor. This will require a thorough grounding in synthetic organic chemistry, allied with experience of array synthesis approaches, as well as associated purification and analysis techniques. From consideration of biological data generated by programme team colleagues, the PDRA (with input from the PI) will lead on the design and synthesis of new compounds which meet agreed lead candidate criteria. Direct experience of academic or industrial medicinal chemistry is an advantage but not considered essential. The PDRA is expected also to engage in knowledge exchange processes with Aberdeen colleagues and other external partners as appropriate, as well as assisting in the administrative duties associated with the group of Prof Jamieson at the University of Strathclyde.

For informal enquires, please contact Professor of Medicinal Chemistry, Craig Jamieson (craig.jamieson@strath.ac.uk).

please click here for further details


中国A片

Rabdan Academy

About

Impact Rankings

Impact Rankings 20221001+

Quality Education 2022801-1000^th

Decent Work and Economic Growth 2022401-600^th

Peace, Justice and Strong Institutions 2022401-600^th

Partnership for the Goals 20221001+

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中国A片

Rabdan Academy

About

Impact Rankings

.css-1lk1zhk{display:block;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;}Impact Rankings 2022.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;}1001+

Quality Education 2022801-1000th

Decent Work and Economic Growth 2022401-600th

Peace, Justice and Strong Institutions 2022401-600th

Partnership for the Goals 20221001+

Discover similar universities

Impact Rankings 20221001+

Quality Education 2022801-1000^th

Decent Work and Economic Growth 2022401-600^th

Peace, Justice and Strong Institutions 2022401-600^th