Fukui Prefectural 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

China, Ningbo

Join a unique British University in China.  The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 9,000 in just 20 years.

The University of Nottingham Ningbo, China, a pioneer in Sino-foreign tertiary education, is rapidly expanding.  It is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy.

The successful candidate will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate programmes in Chemical and Environmental Engineering. An important part of the role will be to teach students in Chemical and Environmental Engineering degree. Candidates should be qualified to deliver courses in the core curriculum of a Chemical and Environmental Engineering programme.

The person appointed will also be expected to conduct ongoing original research for publication and play a lead role in collaborative research projects The purpose of this role will be to lead and deliver individual and collaborative research and teaching in the area of Chemical and Environmental Engineering, and make a contribution to the direction of research programmes in the Department/School of Chemical and Environmental Engineering.

Candidates must have a PhD degree in Chemical Engineering or a closely related discipline, and excellent communication and presentation skills in English. Knowledge and experience of industrial design and process safety are desirable. Experience of supervising student research up to the PhD level, and experience of teaching, tutorial or laboratory work at undergraduate and/or postgraduate levels in an English speaking institution are essential.

Salary will be within the range of RMB 439,794 to RMB 579,126 per annum, depending on skills and experience (salary progression beyond this scale is subject to performance). In addition, an attractive package including employment support allowance, schooling and insurance will be provided for international appointments.

The post will initially be offered on a fixed term contract with the University of Nottingham, Ningbo, China for a period of five years starting October 2024 or as soon as thereafter. This contract may be extended on an indefinite basis by mutual agreement.

Informal enquiries may be addressed to: Professor Philip Hall, Head of Department of Chemical & Environmental Engineering – The University of Nottingham Ningbo China, email: Philip.Hall@nottingham.edu.cn Please note that applications sent directly to this email address will not be accepted.

Interviews will take place in Ningbo, China, if feasible – virtual interviews may also held. Please be advised that normally your references will be contacted prior to the interview.

For more details and/or to apply on-line please access: 

https://jobs.nottingham.edu.cn/job/184021/

If you are unable to apply on-line please contact the Human Resources Department, Tel: 86 574 8818 000 (Ext. 8404), Email: Job@nottingham.edu.cn.  


University of Nottingham Ningbo, China

Australia, Geelong

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


Deakin University

United Kingdom, Egham

School of Performing and Digital Arts (Foundation Year)

Location
Egham

Salary
£48,619 to £57,429 per annum - including London Allowance

Post Type
Full Time

Closing Date
23.59 hours GMT on Tuesday 21 January 2025

Reference
1024-328-R

Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website.

Full-time, Permanent

Applications are invited for the post of Teaching-Focused Lecturer in Computer Science on Integrated Foundation Year (IFY) Programmes at Royal Holloway, University of London.

The well-established and successful IFY at Royal Holloway teaches and supports over 400 students per year across a broad range of disciplines. We are currently expanding the staffing of our STEM (Science Technology Engineering and Mathematics) strand to enhance the foundation year experience for our students through more discipline-focused courses.

The successful applicant will be an experienced and talented teacher at Level 3, with a strong background in Computer Science, and a particular interest in programming. You will be experienced in using and teaching Python, Javascript, HTML, and CSS in a way that encourages and inspires students to embrace computer programming as part of their learning journey. You will also be an excellent communicator and versatile teacher, able to adapt your teaching methods to fit the diverse backgrounds of our students, in an approach centered on inclusivity, equity and the provision of skills for choice and opportunity.

In return, we offer a highly competitive rewards and benefits package including:


	Generous annual leave entitlement
	Training and Development opportunities
	Pension Scheme with generous employer contribution
	Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of eyesight testing.
	Free parking


The post is based in Egham, Surrey where Royal Holloway is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London.

For an informal discussion about the post, please contact Dr Deborah Harvey: d.harvey@rhul.ac.uk

For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk

If you have previously applied for this position within the last three months, we kindly request that you do not reapply.

Please quote the reference: 1024-328-R

Closing Date: 23:59, 21 January 2025

Interview Date: To Be Confirmed

Further details: Job Description & Person Specification


Royal Holloway University of London

United Kingdom, Renfrew

Salary range: £32,296 - £35,880 per annum 
FTE: 1.0
Term: Open-ended
Closing Date: 19 January 2025
Location: NMIS, Renfrew

The University of Strathclyde is a leading international technological institution and has a long history of working with industry to deliver strong business growth from access to research and innovation expertise. The latest major initiative continuing to deliver on this track record is through the National Manufacturing Institute Scotland (NMIS).

As a magnet for innovation in advanced manufacturing, the National Manufacturing Institute Scotland (NMIS) group of specialist R&D centres, supports manufacturing, engineering and associated tech businesses of all sizes, to thrive domestically and internationally through accelerating productivity, embracing new digital technologies and achieving net-zero targets.

We turn smart ideas into reality and deliver ground-breaking research.

Coming from diverse backgrounds and disciplines, our passionate team works alongside industry, academia, and the public sector to solve problems, train the workforce of the future and generate the creative ideas that will transform manufacturing.

Ultimately, we are growing the economy, developing a vibrant and skilled talent pool and helping create prosperous, sustainable communities.

NMIS seeks to appoint a Workshop Technician to support the operation of specialised equipment within its workshops. You will be primarily responsible for the set-up, operation and maintenance of machine shop CNC 5-Axis equipment used in relation to the delivery of industrial and academic research programmes.

To be considered for this role you will be educated to a minimum of HNC level or equivalent; or have relevant work experience in a similar role. You will have significant knowledge and expertise in multi axis CNC machining including: setting, programming and operation, and be able to interpret engineering drawings. You will have excellent troubleshooting skills, including a methodical approach to solving complex problems, with limited guidance. You will have an ability to work autonomously, prioritising and coordinating your own workload and making decisions with minimum supervision in order to meet project deadlines and you will have the ability to work as part of a multi-disciplinary team.

Whilst not essential for the role, applications are welcomed from candidates with experience of supporting production, and research and development manufacturing requirements.

For informal enquiries, please contact Scott Munro, Workshop Manager - scott.munro@strath.ac.uk

Click here for full details.pdf


Fukui Prefectural University

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