Bayburt 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 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

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?Times 中国A片’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

Australia, Bundoora

Director, Strategic Procurement


	Executive position
	3 – 5 year contract
	Strategy Focus and Delivery


The Director, Strategic Procurement is responsible for the success of the procurement function and will work closely with other commercial and business service functions within the Procurement and Business Services (PBS) team.?

Reporting to the Executive Director, Procurement and Business Services, this position will be responsible for ensuring the delivery of quality procurement strategy, governance integrity, commercial best value, and executive quality reporting.

What we are looking for in this role:?


	A strong track record of diverse, high quality, fit for purpose sourcing strategy execution.
	Demonstrated ability to establish and sustain trusted relationships with internal and external stakeholders, extending to senior executives, business unit leaders, and key suppliers.
	Lead, mentor, and develop a team of skilled procurement professionals, fostering a collaborative and high-performance work environment.
	Demonstrated ability to provide strategic insight and detailed inquiry to project, program and portfolio oversight.
	Exceptional engagement and communications skills.?
	Proven capability to prioritise and adapt to deliver outstanding operational and commercial outcomes in a complex environment.
	Achieve best value strategic sourcing outcomes, measured through bottom line benefits, cost avoidance, performance improvements, and sustained business benefit.\


The requirements to succeed, in this role are:


	Significant Strategic Procurement experience and sound knowledge and understanding of contemporary strategic procurement approaches.
	Ability to effectively develop, communicate and present complex business case / procurement strategy proposals.
	Ability to take responsibility for delivery of programs of work that are impactful at an organisational level.
	Demonstrated capacity to collaborate and maintain strong and productive relationships with supply partners, teams, peers and stakeholders at all levels.
	Highly developed consulting, interpersonal, communication (written and oral) and presentation skills.
	Demonstrated capacity for analytical and conceptual thought in the diagnosis of problems and in providing innovative, timely, relevant and practical solutions.
	Strong consultative capability and the ability to consistently offer expert commercial and strategic procurement advice to achieve best value outcomes.
	Develop effective and efficient procurement process, track, measure and report procurement effectiveness.
	Identification of commercial and operational efficiency improvement opportunities. Manage implementation.
	Oversee the financial interface of procurement, ensuring budgetary compliance, and providing regular reports to senior management.


Join Our Team: At La Trobe University, we are committed to fostering a diverse and inclusive workplace where all employees can thrive. If you are passionate about cyber security and driven to make a positive impact in the 中国A片 sector, we want to hear from you.

Welcome to Bundoora campus – Please click on the video link below:? 

https://f.io/KDo0ceng

?Apply Now: To apply for this exciting opportunity, please:

Submit your resume and a cover letter outlining;


	Provide an example on how procurement influenced decisions and strategy to the business and what was the outcome?
	What attracts you to the 中国A片 sector?


(Please note no more than 2 pages.)

Recruitment Enquiries:? Peter Andreopoulos P.Andreopoulos@latrobe.edu.au

Email:??P.Andreopoulos@latrobe.edu.au

Closing date:? By 11:55pm Sunday 19th January 2025

?Position Description below:

50148224 PD Director Strategic Procurement ESMC1.docx

Aboriginal and Torres Strait Islander Applicants?
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.?

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

?All La Trobe University employees are bound by the Working with Children Act 2005.? If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.




La Trobe University

United Kingdom, Bedford

Faculty or Department:?Faculty of Engineering and Applied Sciences
Based at:?Cranfield Campus, Cranfield, Bedfordshire
Hours of work:?37
Contract type:?Permanent
Salary:?Full time starting salary is normally in the range of: Lecturer: ?48,039 to ?57,797 with potential progression to ?70,000 per annum Senior Lecturer: ?60,099 to ?69,505 per annum with potential progression up to ?85,000 per annum.
Apply by:?24/01/2025

Role Description

We welcome applications for this exciting permanent academic post from passionate Avionic specialists to join our highly successful Centre for Aeronautics Aircraft Design Group who want to make a significant impact in shaping, and the future direction, of our Centre’s portfolio of research, design and consultancy activities in the areas of avionic systems design and integration.

About the Role

You will be responsible for the development and delivery of high-quality teaching at postgraduate level in avionic systems design and integration and world leading research in areas of interest relevant to future aerospace industry requirements. Our academics are supported and encouraged to build their research teams and wider networks through successful research funding applications. The role is challenging and involves planning, integrating and coordinating diverse responsibilities in research, consultancy, project management, teaching and research student supervision.

About You

For this opportunity, we are looking for a suitably qualified and experienced individual, and actively encourage applicants from industry (aerospace) or those with related industry experience who wish to develop their career in an environment which provides a greater degree of personal autonomy with respect to research activities than is commonly found in an industrial environment. Experience of high impact, cross-disciplinary and industrially relevant research will be advantageous. At the Senior Lecturer level, we expect the candidate to provide leadership, such as in course management, business development, preparing large funding bids, acting as a Principal Investigator on large, funded research projects and managing collaborative networks of researchers linked with industry.

You will be educated to doctoral level in a relevant subject or have equivalent extensive industry experience. With a track record and solid experience of R&D related to Avionics design or systems together with evidence of collaborative working with other discipline specialists, you will also have the ability to develop business opportunities and attract income.

With excellent communication & influencing skills, you will ideally have teaching experience at postgraduate level and professional development courses. Highly computer literate, expertise in programming would be ideal.

About Us

As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact?here.

Aerospace is at the heart of Cranfield’s global research airport and is renowned throughout the world for its teaching and research in the fields of aviation and aerospace. Cranfield’s six centres are the powerhouses of our world class research, driving technological and conceptual advances in?aeronautics, propulsion engineering, cyber-physical systems and intelligent automation. Through the strong links with industry built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future and are the only university in Europe with our own airport and runway. Cranfield Aerospace is internationally recognised as the first choice for research and education in all aspects of aerospace including aircraft, drones, urban air mobility and space.? Find out more about our work here?About Aerospace.

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more?here.

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity?Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working?here.

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.

How to apply

For an informal discussion about this opportunity, please contact Prof Howard Smith on?Howard.smith@cranfield.ac.uk

Please do not hesitate to contact us for further details on E:?hrrecruitment@cranfield.ac.uk. Please quote reference number 4983

Closing date for receipt of applications: 24 January 2025

This role may require you to have the ability to obtain UK Security Clearance


Cranfield University

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


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