Lyceum-Northwestern University

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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

Finland, Helsingfors (Helsinki)

Lammi Biological Station is one of three research stations in the Faculty of Biological and Environmental Sciences at the University of Helsinki, along with Tvärminne Zoological Station and Kilpisjärvi Biological Station. At the station, research, teaching and meeting activities are year-round. The station serves the entire university.

Lammi Biological Station of the University of Helsinki applies for its service:

LABORATORY TECHNICIAN

for fixed-term employment 3.3.-31.12.2025. Lammi Biological Station laboratory conducts water analyses from natural waters to the university's own long-term studies, research projects, course needs, and commissioned studies for all customers.

The laboratory technician's duties include preparation of water samples, laboratory analyses, result verification and delivery of analysis results, filing, compilation of billing information, and tasks related to quality control of the laboratory. Laboratory technicians are expected to have knowledge of the following analyses: nutrient analyses (P and N), pH, turbidity, conductivity, alkalinity, color, oxygen, CODM, chlorophyll. Advantage is the experience of carbon and cation determinations, or other laboratory special skills.

The task is suitable for a careful and accurate employee with experience in laboratory work. The task requires an independent and responsible approach. The position requires good Finnish or English language skills, as well as basic IT skills. The training of a laboratory analyst, for example, provides good preparation for the task. The work will start on 3 March 2025 or by agreement. Lammi Biological Station Laboratory is a peaceful working environment, where the responsibilities and job description of the announced position are clear. There is possibility for affordable accommodation options within the Lammi Biological Station.

The salary of the position is based on the salary system of the universities and the total salary is c. 2400-3200 €/month depending on the experience and education of the person to be selected.

External applicants, please submit your application using the University of Helsinki Recruitment System via the Apply Now button.

Applicants who have a helsinki.fi username and a valid employment contract, a grant researcher's contract or a visiting researcher's contract at the University of Helsinki are requested to leave their application by using the Employee Login button.

For more information, please contact Matti Kotakorpi, Research infrastructure chief, matti.kotakorpi@helsinki.fi, 050 357 3126 (accessible from 2.1.2025)

Announcement to be published: before Christmas

Application period ends: 19.1.2025


University of Helsinki

$80,099 per annum (plus 17% superannuation)

Australia, Mawson Lakes


	Based in the UniSA STEM Unit at the Mawson Lakes Campus 
	Full-time, fixed term contract until Dec 2027
	Commencement salary: $80,099 per annum (plus 17% superannuation)


About the Role 

Reporting to the Professorial Lead, you will support UniSA STEM's research efforts by contributing to the project “ANVIL: A Narrative Analysis and Visualisation Toolkit for AI Disinformation Campaign,” funded through a DSP Multi-Party Collaborative Agreement with UniSA, UTS, UA, and the Department of Defence.

About UniSA STEM 

At the forefront of cross-disciplinary collaboration, UniSA STEM is developing the next wave of innovative thinkers and new possibilities. Harnessing connections across science, technology, engineering and mathematics, we create innovative solutions and groundbreaking developments across teaching, learning and research. 

About UniSA 

The University of South Australiais Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity.

Essential Skills and Experience 


	A bachelor degree in an appropriate Science or Engineering area relevant to the research area.
	Strong written and oral communication skills, showcased through research reports, publications, educational materials, and effective collaboration with partners, colleagues, and students
	Experience in full stack web development with NodeJS, React framework and Loopback or NestJS development
	Experience with game engines, C# and Unity development. Experience with AR/VR platforms such as Meta Quest
	Ability to design and implement User Interfaces


Benefits 

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as: 


	Access to great personal development opportunities
	Generous superannuation contributions of 17%
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	A variety of leave arrangements


Culture  

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.  

Start Your Unstoppable Career! 

For a copy of the position description and to apply, please visit Working at UniSA. The online application form will list the specific selection criteria that you need to address.  

Please address your cover letter to Georgia Borg, Consultant: Recruitment Central.  For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at recruitment@unisa.edu.au using job reference number 6891. 

Applications close: 11:30pm Sunday 5 January 2025

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on recruitment@unisa.edu.au. Anything you tell us will be kept completely confidential.

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. 

CLICK HERE for Position DescriptionOpens in new window

How to apply:


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please login before starting your application
	If you have forgotten your log in details, click here to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

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University of South Australia

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

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


Lyceum-Northwestern University

About

Impact Rankings

Impact Rankings 20241501+

Good Health and Wellbeing 2024801-1000^th

Quality Education 20241001-1500^th

Sustainable Cities and Communities 2023801+

Responsible Consumption and Production 2023601+

Peace, Justice and Strong Institutions 2024801-1000^th

Partnership for the Goals 20241501+

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Lyceum-Northwestern University

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Impact Rankings

.css-1lk1zhk{display:block;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;}Impact Rankings 2024.css-4ju6x1{display:block;font-size:1.25rem;line-height:1.375;font-weight:600;color:#595959;}.css-4ju6x1>sup{font-size:65%;display:inline-block;width:0;word-wrap:normal;}1501+

Good Health and Wellbeing 2024801-1000th

Quality Education 20241001-1500th

Sustainable Cities and Communities 2023801+

Responsible Consumption and Production 2023601+

Peace, Justice and Strong Institutions 2024801-1000th

Partnership for the Goals 20241501+

Discover similar universities

Impact Rankings 20241501+

Good Health and Wellbeing 2024801-1000^th

Quality Education 20241001-1500^th

Peace, Justice and Strong Institutions 2024801-1000^th