Bauchi State University, Gadau

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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

New Zealand, Wellington

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


Victoria University of Wellington

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, 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 Aalto University School of Business is the leading business school in Finland. The School belongs to the select group of business schools that have been granted the most important international quality accreditations in its field. It aspires to be among the best business schools in Europe in terms of research excellence, a portfolio of pioneering B.Sc., M.Sc., Ph.D., and executive education programs, and contributions to society.

The Department of Management Studies invites applications for

POSTDOCTORAL RESEARCHER IN SUSTAINABILITY IN BUSINESS (2+1 years)

We are now looking a junior academic interested in research and teaching in the domain of sustainable business. The position is within the Organizations and Management discipline in the Department of Management Studies of Aalto University Business School.

About us

The department hosts a strong Sustainability in Business research group. The group is specialized in innovations towards sustainability, including circular economy, governance and institutions, and sustainability transitions. In addition to active publishing, the group is active in collaboration with companies and other stakeholders as well as creating societal impact. The department also has more general research groups on organization and management studies, focusing on diverse topics within organization theory, strategy and organizational behavior. Moreover, the department has a lively, international research community with numerous doctoral students and post-doctoral researchers from several countries. The working language at the department is English.

Department of Management Studies has existing research on organizing for sustainability, sustainability innovation, business models for sustainability and alternative economies. This work offers a basis for rethinking how businesses operate, how new actors and individuals can make contributions to sustainability and how sustainability debates unfold across societies and different global contexts.

The position is related to a new six-year inter-disciplinary project focusing on sustainable freshwater use and water stewardship. The management research in the project will focus broadly on water stewardship activities in multinational value chains as well as collective governance for water security and sustainability. For the applicants, existing research on topics such as environmental sustainability in management studies (esp. relating to water), cross-sector collaboration, legimacy and power, stakeholder theory, and governance of commons are considered as merits. Empirically, the project is primarily focused on qualitative approaches, so methodological skills in qualitative research are essential for the role.

Our expectations

The postdoctoral position is intended to allow the chosen researcher to pursue their own research agenda and to develop personal competencies. We expect the candidate to conduct high quality research and aim to publish in the leading international journals. The position is associated with a low teaching load.

We look for scholars who have completed their Ph.D. within the last four years, or are about to complete it. The Ph.D. is expected to be in a relevant field of study (such as management studies, social sciences, organizations and sustainability), but applicants from other areas may also be considered. The applicants should have demonstrated the ability to teach competently and to publish internationally. The position requires fluent skills in the English language. Finnish and other language skills are a merit.

Postdoctoral researchers are required to be in residence for the duration of the appointment, as we are looking for a member in our lively, welcoming departmental community. The appointment can begin Spring 2025, but the dates of the employment relationship can be negotiated. The position will be two years with a potential extension into a third year.

We offer 


	We offer you a full-time position for 2
	Thriving sustainability research community
	Stimulating research and working environment in one of the leading international universities
	Possibility to pursue cutting-edge research with a wide community of sustainability scholars and opportunities to participate in ground-breaking multi-disciplinary sustainability research.
	Possibility to attend of international academic conferences
	A salary, which will be defined according to Aalto University´s payroll system. As an employer, Aalto University provides excellent learning and development opportunities as well as occupational health care services, versatile exercise services and other employee benefits.


Aalto University also provides health care and retirement benefits. Finland is known for high quality of life, great work-life balance, clean nature, and family-friendly policies such as affordable high-quality daycare and free schools. Helsinki is a vibrant international city with a metropolitan area population of over 1.1 million people.

How to apply

If you want to join our community, please submit your application enclosing all relevant documents through our recruitment system Workday no later than February 16 , 2025 at 23:59 EET (UTC+2). Aalto University’s employees and visitors should apply for the position by using their existing Workday user account. Please see how to do it here.

To apply, please share the following application materials with us in English as a single file in PDF format (‘lastname_firstname_application.pdf’):


	Cover letter
	Curriculum Vitae
	List of publications (with five most significant publications highlighted)
	Names and contact information for two references
	A list of teaching experience
	A research plan for the postdoctoral period (1-2 pages)


Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.

For more Information

For inquiries about this position, please contact Prof. Samuli Patala (samuli.patala(at)aalto.fi) ). In questions related to the recruitment process, please contact HR Partner Jenna Knuutinen, jenna.knuutinen(at)aalto.fi. Please note that applications will be reviewed only after application time will expire and all candidates will be informed about the following process only after that. Please, do not send any attachments to HR via e-mail, all documents shall be provided through Workday -recruitment tool.

About Finland

Finland is a great place for living, both with or without family: it is a safe, politically stable and well-organized Nordic society which is consistently ranked highly in quality-of-life studies. Helsinki has been praised as one of the world’s most livable cities, e.g. by Monocle Magazine and in the Economist Intelligence Unit livability rankings. The World Happiness Report 2020 ranked Helsinki as the city with the highest well-being in the world. For more information about living in Finland: https://www.aalto.fi/en/services/why-finland

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


United Arab Emirates, Abu Dhabi

Postdoctoral Associate/Research Scientist in the Division of Engineering (Civil and Urban Engineering) - Dr. Mohamed Moustafa 

Description

The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one or more motivated post-doctoral associates (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidates will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of future structures and resilient infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include:


	advanced construction and reinforcement materials (UHPC, ECC, SMA)
	UHPC mix development, material characterization, modeling, and structural design
	structural 3D printing (metals, concrete, and composites)
	computational mechanics and structural topology optimization
	vision-based structural health monitoring
	autonomous and drone-based infrastructure inspection and vibration monitoring


Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications; and previous or relevant experience in mentoring or supervising undergraduate student research or junior graduate students.

A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, computational fluid dynamics, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C ) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels.  

The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences, mentor undergraduate students, and participate in writing research grant proposals.

To be considered, all applicants must submit the following documents in PDF format via Interfolio:


	cover letter
	curriculum vitae with full publication list
	statement of research interests and plan
	three sample (recent and/or most relevant) journal publications
	contact details of two references


The terms of employment include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children (if applicable). Applications will be accepted immediately and candidates will be considered until the positions are filled.

If you have any questions or require more information, please email: mohamed.moustafa@nyu.edu

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

£23,160-£23,581 plus 5% shift allowance

United Kingdom, Glasgow

Salary range: £23,160-£23,581 plus 5% shift allowance
FTE: 1.0 (35 hours per week)
Term: Open
Closing date: 12 January 2025

The University of Strathclyde is looking to appoint a Facilities Assistant to support our conferencing and events activity within the Technology & Innovation Centre (TIC). The Technology & Innovation Centre (TIC) is the University’s flagship research facility, opened by HM The Queen in July 2015. TIC is home to £11m of dedicated, flexible conferencing facilities, and has quickly established itself as one the country’s most popular venues for business events and academic meetings, hosting more than 600 events and 46,000 delegates in academic year 2023/24 alone. The venue won the Bronze award for UK Best Academic Venue at the Meetings & Incentive Travel awards magazine in March 2019; was named Best Academic Venue at the CHS Awards in June 2019; Best Scottish Venue & Events Team at the E Awards in 2023 and is a proud holder of Green Tourism Gold accreditation.

Working across the Conferencing & Events and TIC Operations teams, the Facilities Assistant will be central to day-to-day operations. The successful candidate should have experience of working in a similar environment, such as a conference centre, banqueting suite, hotel or performance venue. The role will involve:


	setting up and turning around rooms and foyer spaces to the layout required by clients
	storing equipment and furniture securely and appropriately when not in use
	receipt, delivery and safe handling of all materials relating to conferences and events taking place in the facility
	 supporting the movement of goods and furniture throughout the building
	assistance with wayfinding in the building and giving information on general use of the facilities
	ensuring that conferencing and event spaces are kept are well-maintained, tidy and presentable at all times, befitting to a five-star conference venue
	weekly fire safety and first aid checks for all conferencing and event space


As well as experience of providing a customer-focused support service, the successful candidate will have existing knowledge and a keen awareness of the importance and day-to-day application of key health and safety and manual handling procedures. This post will involve a high volume of manual handling on a daily basis, and the successful candidate will ideally hold a valid manual handling certificate and be able to contribute to the ongoing and consistent application and development of our safe working practices and standard operating procedures.

The post-holder will be required to work 35 hours per week, 5 days over 7. Shift patterns will depend on the needs of the business but will regularly include hours outside the normal working week, i.e. early mornings, evenings and weekends, throughout the year. A 5% premium will be added to the salary of the successful candidate to reflect this non-standard working pattern.

This post will be key to the delivery of a high level of customer service in TIC, and will require an individual interested in working with a wide range of people, problem solving and willing to be flexible in their approach to the work.

Interviews are scheduled to take place on 23 January 2025,

For informal enquiries, please contact Nicola Hyne, Conference Operations Manager at nicola.hyne@strath.ac.u

Click here for full details


Bauchi State University, Gadau

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