Augustana College (Illinois)

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Ireland, Maynooth

Department: School of Business
Vacancy ID: 032841
Closing Date: 12-Jan-2025

We are seeking a highly motivated and skilled candidate to join our team as a Research Assistant, providing essential research and support to our dynamic and productive academic department. This role will involve significant contributions to the research teams working on the EU Horizon RIA project FLOW, focusing on the seamless development of user interface (UI) and user experience (UX) for an innovative EV mobile application in the renewable energy sector. The Research Assistant will play a key role in supporting the UI/UX development process, including contributing to the design and optimization of user-friendly features tailored to EV application users, assisting with iterative improvements to enhance functionality and performance, identifying and resolving bugs in the application, and aiding in the preparation of technical reports and documentation.

Research Assistant Level 1 (2024) Salary Scale: €31,962 p.a. (1 point)

Appointments will be made in accordance with public sector pay provisions.

Closing Date: 

23:30hrs (local Irish time) on Sunday, 12th January 2025

Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.

Late applications will not be accepted.

Maynooth University is an equal opportunities employer

The position is subject to the Statutes of the University


Maynooth University

Finland

Aalto University is where science and art meet technology and business. We shape a sustainable future by sparking the game changers of tomorrow and by creating novel solutions to major global challenges. Our community is made up of 13,000 students, 400 professors and close to 4 500 other staff members working on our vibrant campus in Espoo, Greater Helsinki, Finland. 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 School of Engineering drives science and innovation in industrial and built environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems. The strength of our school lies in close collaboration with stakeholders across research and education. The school is home to 700 staff members, including 67 professors. To learn more, please visit eng.aalto.fi.

Aalto University School of Engineering invites applications for:

Assistant Professor position in concrete technology (tenure track)

We are looking for talented candidates for a full-time Assistant Professor position to work in a vibrant community of students, researchers and experts.

Concrete is one of the most used building materials, thus having an essential role in civil engineering research and education. At Aalto, we want to solve problems related to its climate change impact, researching low-carbon concrete, the durability of concrete structures, the quality of concrete (process and testing), as well as the concreting process and durability in a cold climate. Overall, this tenure track position is focused on concrete as a construction material, not its structural engineering aspects, and therefore the following topics are not relevant for this position: earthquake engineering, 3D printing of concrete, and chloride corrosion.

We are looking for an expert who is prepared to integrate and transform these aspects into high-level scientific research focused on concrete material technology. We particularly invite applications from candidates with expertise on the sustainability of concrete. We value a research portfolio with studies on low-carbon concretes, freeze-thaw resistance and other durability properties of concrete, non-destructive testing methods, or automated testing of concrete.

Your role and experience

Throughout their career, those in the academic tenure track career system are expected to exercise and guide scientific research, to provide related higher academic education, to follow advances in their field, to participate in service to the Aalto University community, and to take part in societal interaction and international collaboration in their field. 

We are looking for a candidate who:


	Has completed a doctoral degree relevant for the position
	Has experimental experience and technical and methodological skills relevant to the field. Complementary theoretical and computational experience is highly appreciated.
	Has potential to carry out research and attract research funding at the highest level
	Has potential to collaborate in an interdisciplinary environment. In this professorship, cooperation with national stakeholders – both industrial and authorities – will be important.
	Has potential to take responsibility for education and researcher training in the field
	Has ability to be an effective teacher in the undergraduate and graduate degree programmes of the School of Engineering
	Fluent command in English, which is the main language of teaching and research at Aalto - Knowledge of the Finnish language, industry and culture is seen as an advantage


Your merits and potential will be appraised based on your position-relevant research of concrete, teaching and academic leadership, and activity in scientific community and society.  A bibliometric analysis will be conducted for supporting the evaluation of research merits. As the position is opened at Assistant Professor level, the academic evaluation is mainly based on the potential of the candidate.

More information about the Aalto tenure track evaluation criteria

What we offer 


	Research-oriented environment: We have excellent research infrastructure and high-quality laboratories
	Well-resourced learning community: Opportunity to work within a well-resourced learning community, characterized by rigorously selected and highly motivated students.
	Tenure Track position: A tenure track position with promotions based on merits, offering a clear and rewarding career pathway
	Versatile support for your work: Support in applying for external research funding as well as excellent staff trainings and mentoring programs
	Comprehensive benefits package: Includes e.g. free access to health care and campus sport services
	Friendly and diverse community, which genuinely respects diversity and equality
	Excellent collaboration possibilities: Opportunities for excellent collaborations within the university, fostering a rich academic network


Finland is one of the world's most reliable, stable and safe countries and consistently occupies top position in the annual World Happiness Report. Finland offers a safe and healthy environment for living, with excellent state-subsidized services including affordable day care, healthcare, and free schools that are ranked among the best in the world. With significant investments in R&D, a strong innovation culture, open data, and advanced digitalization, Finland is a nation of innovation and entrepreneurship.

The Nordic values of equality and cooperation are deeply rooted in our society. Gender equality, flexibility, and low hierarchy form the core of the Nordic working environment.

For applicants selected for tenure track positions, the university provides relocation support. Aalto University encourages flexible working hours to allow a healthy balance between work and free time. For all new staff members and their families, Aalto University provides dedicated introductory social and cultural events around the year.

The entry salary will be defined according to Aalto University's salary system, taking account of the applicant's experience and qualifications.

More information about living and working in Finland

Take a virtual tour of our campus

Contact details

For additional information, please contact Professor Simo Hostikka at the Department of Civil Engineering, tel. +358 50 447 1582.  In recruitment process related questions, please contact HR Partner Merja Seppänen tel. +358 50 593 7712. Email addresses: firstname.lastname@aalto.fi.

Ready to apply?

The application material for the position includes:


	Cover letter (1-2 pages) addressed to the Dean of the School of Engineering including a summary of merits, most important achievements and motivation for this position and Aalto University
	Curriculum Vitae, including contact information
	Publication list and up to 3 most important publications as a single pdf-document
	Research statement, including a plan for future research at Aalto (maximum 4 pages)
	Teaching statement (maximum 2 pages). In addition, shortlisted candidates can be asked to supplement their applications with a teaching portfolio following the Aalto University guidelines.


All material should be submitted in English and in pdf-format. The application materials will not be returned. Please submit your application online through Aalto University’s electronic recruitment system by using the “Apply now” link no later than February 28th, 2025. Current Aalto-employees should apply through the internal system Workday by using their existing user accounts.

For general instructions and evaluation criteria, including language requirements and guidelines for compiling a CV, please visit Tenure Track.

Aalto University reserves the right for justified reasons to leave the position open and to extend the application period.

More information the Department of Civil Engineering

The Department of Civil Engineering aims to build the sustainable structures of tomorrow through high-quality research, education and collaboration. Our research is backed by extensive facilities and focused on building design and construction as well as mineral-based materials and mechanics. We operate with industry on a number of important topics, including construction management, concrete technology, indoor air technology and geoengineering.

Currently, the department has 15 tenure track professors supported by lecturers, post-doctoral researchers, doctoral students, and technical staff. In total, the number of personnel is about 120. We are located at the vibrant Aalto University campus in Espoo, Finland.

Read more on our website.

Tenure track in Aalto University

The tenure track is open to talented individuals who have excellent potential for a scientific career. Individuals placed on the Aalto University tenure track for professors have the possibility to advance in their career through regular performance assessments, which consider their merits in all areas of their scope of duty. Launched in 2010, the Aalto University tenure track positions have been widely noticed and attracted a large number of international applicants. Aalto University has had the opportunity to recruit top experts as well as young research talents to join the Aalto University community. For more information, visit Tenure Track at Aalto University.

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

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

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


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, Melbourne


	3x Full-time, Continuing positions
	Salary Academic Level B ($110,868 - $131,659) + 17% Superannuation and Flexible Working Arrangements
	Based at the Melbourne CBD campus


About the Role

The Lecturer is expected to contribute to the teaching and research efforts of the School, in disciplines related to their field of expertise. More specifically, the Lecturer is responsible for carrying out teaching activities within undergraduate, Masters and Graduate Diploma programs and for maintaining and advancing their scholarly, research and/or professional capabilities.

The Lecturer is also expected to actively promote the program by establishing and maintaining memberships, links and partnerships with academic, industry and professional communities. The Lecturer is expected to work collaboratively and collegially with fellow academics within the teaching team, and update colleagues and students on developments in their subject area or specialisation. The Lecturer may be responsible for course coordination.

To be successful in this position, you'll have:


	Demonstrable advanced knowledge and extensive experience with industry-standard 3D animation and Visual Effects (VFX) technologies such as Houdini, Maya, Unreal Engine, and Nuke. Tech art skills (e.g. materials and shader design, lighting, game engine tool development) desirable. This selection criteria could be evidenced via portfolio submission (web links preferred).
	Demonstrable industry knowledge and experience in current and emerging industry workflows and pipelines for rendered and real-time 3D animation. Qualified candidates with industry experience (e.g. in 3D, VFX, or game production studios) are highly encouraged to apply.
	Demonstrated ability to develop, coordinate, and deliver 3D animation and Visual Effects courses at undergraduate and/or post-graduate levels.
	Demonstrated ability to support student issues related to effective learning.


Please view position description for further selection criteria 

Qualifications

Mandatory: PhD Qualification

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About the School

The School of Design is a School comprised of the disciplines of Industrial Design, Digital Design and Communication Design.

The School builds on RMIT's leading national and international reputation in design education by creating a specific focus on emerging areas such as UX and service design, design strategy and virtual and augmented reality.

It comprises approximately 100 academic and 11 professional staff and over 3000 EFT undergraduate and postgraduate students with expectations of growth.

For more information visit www.rmit.edu.au/about/schools-colleges/design.

To Apply 

Please submit your CV, covering letter and separate document addressing the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Jessica Bernardo (Senior Talent Acquisition Advisor) via email jessica.bernardo@rmit.edu.au.

PD - Lecturer - Digital Design (3d Animation and Visual Effects)

Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements. 

Holiday Closure Notice:

Please be advised that RMIT will be closed between Christmas and New Year. If you have any questions or issues related to this role during that time, please contact talentsupport@rmit.edu.au. We will get back to you after January 2nd.

Applications close on Sunday 9th February 2025 at 11.59pm. 

About RMIT University

RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.

https://www.rmit.edu.au/about

https://www.universitiesaustralia.edu.au/university/rmit-university

Why work at RMIT University

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.

We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.

https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings

Bring Your Whole Self to Work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.

We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.

RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Acquisition Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are a Circle Back Initiative Employer - we commit to respond to every applicant.


Augustana College (Illinois)

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