The Department of Neuroscience and Biomedical Engineering (NBE) at Aalto University aims to understand system-level dynamic functions of the human brain, mind, and body. We develop spearheading technology and computational methods which pave the way for discoveries and breakthroughs that contribute to health and wellbeing. NBE brings together systems and cognitive neuroscience, biophysics, and biomedical engineering. The levels of description in the research and education at the department range from molecular and cellular measures to noninvasive neuroimaging and behavioral measurements. New generations of multidisciplinary scientists and engineers are educated by engaging them with cutting-edge science and technology. 

The Department of Neuroscience and Biomedical Engineering at Aalto University is looking for post-doctoral researchers in the field of medical ultrasonics/acoustics, as described in the calls 1 and 2.

1. Post-Doctoral Researcher in Air Ultrasonics

Ultrasonics is widely used for non-invasive characterization of pathologies, anatomy and physiology, allowing quantitative analysis. Quantitative ultrasonics are typically coupled to skin to obtain good acoustical coupling. Air ultrasonic applications in medical ultrasonics are more rare, because of the poor acoustic coupling of sound to tissue.

We are looking for a Post-Doctoral Researcher to work with air ultrasonics to characterize physiology of human subjects. The research topic is highly novel; the project is applied research with neuroscience questions. We foresee a large number of applications in research and healthcare, also beyond the field of neuroscience.

Your background and expertise
As an ideal candidate you have a PhD or you are finalizing your PhD by the end of 2023. You have a strong background in ultrasonics, employing single channel or multichannel systems and strong skills in signal analysis or advanced methods in ultrasound imaging. You should have a strong capability to design and conduct experimentation related to quantitative ultrasonics as well as have capability on designing transducer arrangements. The candidate is expected to be familiar with modern methods applied in contact or air ultrasonics, preferably applied for material or tissue characterization. The candidate should have skills in electronics, hardware and preferably prototyping.

Ideally, you are a strong communicator with excellent interpersonal and English skills. You are capable of managing your own workload and can work both independently and as a part of the team. You are expected to contribute to instructing PhD students. Therefore, we expect successful supervision experience or potential to supervise successfully. You demonstrate a high level of enthusiasm and commitment to the highest level of academic research with ambitious goals and you have published high-impact research.

What we offer

You will work along with about 10 other researchers from Medical Ultrasonics Laboratory (MEDUSA) (main site of your research) at the Department of Neuroscience and Biomedical Engineering (NBE), Aalto University and Oxford University Hospitals. MEDUSA’s research is currently funded by Academy of Finland, Business Finland, Jane and Aatos Erkko Foundation, EU and NBE.

The salary level is fixed to departmental levels based on career stage starting from 4104€/month for a Post-doc. While you are funded for 1 year for a dedicated project, we expect you to apply your own academic funding for further research.

Aalto University offers a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts.

Ready to apply?
Please, submit your application through our online recruitment system by using the link below on Aalto University’s web page (“Apply”).

Apply at latest 15 October 2023.

Please, provide the following as separate documents along with your application. All application materials should be in English.

•    1-page motivation letter
•    CV with a list of publications
•    Your PhD thesis (or draft if you are about to complete it by the end of year)
•    List of references
•    Optionally, a summary of a preliminary project plan (max. 1 page) to which you aim to start applying your own research funding. This summary should include a direct connection to ultrasound and medicine.

Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday Internal Jobs by using their existing Workday user account.

The call is open until Oct 15, 2023, but it may be closed earlier if a suitable candidate has been identified before the closing date. The applications will be reviewed on a continuous basis.

Aalto University reserves the right to leave the position open, extend the application period, reopen the application process, and consider candidates who have not submitted applications during the application period.

For more information
Please contact Prof. Heikki Nieminen, the Head of MEDUSA by email: [email protected] and in application process related questions HR Partner Jenni Ståhl, [email protected].

To learn more about our lab, please visit http://medusa.aalto.fi.

Keywords: air ultrasonics, ultrasonics, transducers, neuroscience, measurement, signal analysis

2. Post-Doctoral Research Fellowship in Acoustics of Transcranial Magnetic Stimulation (2-year fellowship)

Transcranial Magnetic Stimulation (TMS) is a non-invasive method for stimulating the brain from for diagnostic, therapeutic and neuroscience research purposes. The system involves magnetic coils that produce, in addition to the desired magnetic field, high-intensity click noise in audible and ultrasound frequencies, when high currents are flowing within the TMS coils. This noise, up to 140 dB in some cases, is considered to be one of the main risks for broad adaptation of TMS in clinical and research settings as the subject and the user can be subjected this high noise.

We are looking for a Post-Doctoral Researcher to join a project aiming at coming up with novel and innovative solutions to suppress the acoustic emission from TMS coils. We foresee that a successful conduction of the study can have broad impact clinically and in neuroscience research in the field of TMS.

Your background and expertise

As an ideal candidate you have a PhD or you are finalizing your PhD by the end of 2023. You have a strong background in acoustics, especially in designing experimental systems, devices and/or prototypes in the field of acoustics.

It would be beneficial that the candidate have knowledge and experience in analyzing materials such as plastics to understand and control their behavior and durability when subjected to the strong forces from the magnetic coils. Skills or knowhow in control electronics or high-power electronics is considered as a plus. The ideal candidate has demonstrated creativity in coming up with solutions in demanding experimental systems.

Ideally, you are a strong communicator with excellent interpersonal and English skills.  You are capable of managing your own workload and can work both independently and as a part of the team. You are expected to contribute to instructing PhD students. Therefore, we expect successful supervision experience or potential to supervise successfully. You demonstrate a high level of enthusiasm and commitment to the highest level of academic research with ambitious goals and you have published high-impact research.

What we offer

You will work along with about 15 other researchers from Aalto University School of Science (Medical Ultrasonics Laboratory (host) and Transcranial Magnetic Stimulation Laboratory) and Electrical Engineering (Aalto Acoustics Lab). MEDUSA’s research is currently funded by Academy of Finland, Business Finland, Jane and Aatos Erkko Foundation, European Union and NBE. The TMS group is funded by the European Union, Academy of Finland, Novo Nordisk Foundation (Denmark) as well as the Wellcome Trust (USA) and other foundations.

The salary level is fixed to departmental levels based on career stage starting from 4104€/month for a Post-doc. The decision process takes place in two steps: the top candidate is first selected, followed by competitive evaluation and decision regarding the award of the fellowship by a school level committee. When employed, you are funded for 2 years for a dedicated project.

Aalto University offers a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts.

Ready to apply?

Please, submit your application through our online recruitment system by using the link below on Aalto University’s web page (“Apply”).

Apply at latest 15 October 2023.

Application materials should be in English.

Please, provide the following as separate documents along with your application.
•    1-page motivation letter
•    CV with a list of publications
•    Your PhD thesis (or draft if you are about to complete it by the end of year)
•    List of references
•    Optionally a summary of a preliminary project plan (max. 1 page) to which you aim to start applying your own research funding. This summary should include a direct connection to ultrasound and medicine.

Please note: Aalto University´s employees and visitors should apply for the position via our internal system Workday Internal Jobs by using their existing Workday user account.  

The call is open until Oct 15, 2023, but it may be closed earlier if a suitable candidate has been identified before the closing date. The applications will be reviewed on a continuous basis.

Aalto University reserves the right to leave the position open, extend the application period, reopen the application process, and consider candidates who have not submitted applications during the application period.

For more information

Please contact Prof. Heikki Nieminen, the Head of MEDUSA by email: [email protected] and in application process related questions HR Partner Jenni Ståhl, [email protected].

To learn more about research, please visit:

MEDUSA: http://medusa.aalto.fi.
TMS group: https://www.aalto.fi/en/department-of-neuroscience-and-biomedical-engineering/transcranial-magnetic-stimulation-tms
Aalto Acoustics Lab: https://www.aalto.fi/en/aalto-acoustics-lab

Keywords: air ultrasonics, ultrasonics, transducers, neuroscience, measurement, signal analysis, transcranial magnetic stimulation

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/en/careers-at-aalto/living-in-finland

https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package

About Aalto University

Aalto University is a community of bold thinkers where science and art meet technology and business. At Aalto we are dedicated to societally meaningful research, artistic work and education, with the aim of tackling the complex challenges of our time. We are a community of 4000 faculty and experts and 11 000 students. 40% of our academic staff is international.

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.

More about Aalto University:
Aalto.fi
twitter.com/aaltouniversity  
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Hakuilmoitus suomeksi löytyy täältä

https://www.aalto.fi/fi/palvelut/tutkijatohtori-2-paikkaa-laaketieteellisen-ultraaanenakustiikan-alalle

More about Aalto University:

Aalto.fi
twitter.com/aaltouniversity  
facebook.com/aaltouniversity
instagram.com/aaltouniversity

Aalto University is where science and art meet technology and business. Aalto University (Aalto) is also the largest technology-oriented university in Finland. 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, Finland, 12 minutes by metro from the center of Helsinki.

The Department of Neuroscience and Biomedical Engineering is located in the Otaniemi campus – one of the most important north-european technology hubs, with a high concentration of companies, and research institutes from the high-technology sector, and with a thriving culture of entrepreneurship. Within the department operate pioneering groups in developing MEG and brain stimulation technology.

We are now looking for a:

Postdoctoral or doctoral researcher (PhD student) to conduct neuroimaging-guided brain stimulation studies in the field of speech and language network.

Are you passionate in developing methods to investigate the language network with fMRI combined with navigated transcranial magnetic stimulation (nTMS)?

We are looking for an early-career level but expert scientist to assume a leading role in the fMRI-guided TMS speech cortical mapping (SCM) part of a wider project on language network (LANNET) at the Neuroscience and Biomedical Engineering department and Helsinki University Hospital (HUH). In this position you will have a chance to make an impact in a field that is in the cutting edge of clinical technology.

Your role and goals

The role of the successful candidate will be to define the fMRI sequences for the object-naming experiments that will take place in the Advanced Magnetic Imaging (AMI) center, to analyze the results and participate in the navigated TMS speech cortical mapping. The analysis of the results includes the comparison with EEG and MEG and also the combination of these modalities in guiding the nTMS.

Your network and team

The project is the outcome of a successful consortium application funded by Academy of Finland (now Research Council of Finland). Consortium Leader is Adj. Prof. Pantelis Lioumis (Dr. Sc), who has been launching nTMS for SCM as a clinical tool and co-principal investigator is Dr. Selja Vaalto (MD, PhD), who is the principal physician for motor and speech cortical mapping studies for presurgical evaluation at HUH. Some of the work will be done in the AMI center and BioMag Laboratory under the supervision of Adj. Prof. Mia Liljeström (Dr. Sc) and Prof. Hanna Renvall (Director of BioMag Lab; MD, PhD), respectively. In the later phases of the project, the fMRI guidance will be translated into the highly innovative multi-locus technology that our TMS group in NBE is currently developing (Prof. Risto Ilmoniemi).

Your experience and ambitions

The successful candidate should have:

• Experience in MRI and fMRI operation
• Knowledge in sequence development for fMRI
• Computational skills and experience in Python, Matlab, FreeSurfer, fMRIprep or other preprocessing tools for fMRI
• Degree in Linguistics, or Neuropsychology, or Engineering, or Physics or Medicine
• TMS experimental skills will be considered as advantage
• Excellent skills in English is required
• Finnish or Swedish languages are not required

Requirements for the Doctoral Researcher applicants

The doctoral researcher applicants must fulfill the admission requirements for the Aalto Doctoral Programme in Science. You are expected to apply for and to be granted a right to pursue doctoral studies at Aalto University. More information on the general requirements and the Doctoral Programme in Science https://www.aalto.fi/en/programmes/aalto-doctoral-programme-in-science

Please check the student information, admission criteria and pay attention to the required (English) language proficiency.

What we offer

• The duration of the position is 3 to 4 years. However, following the standard Aalto´s practice, the PhD student position contract will be made initially for two years, then extended to another two years after a successful mid-term progress review.
• The annual workload of research and teaching staff at Aalto University is 1612 hours. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral researchers is approximately 2690 € per month (gross), and it increases as you progress in your research and studies. The postdoc salary starts from approx.4100€/month. The contract includes Aalto University occupational healthcare.
• Innovative and high-edge technological environment. Our department NBE is pioneering in magnetoencephalography and brain stimulation techniques. This time, our TMS group works on the unique multi-locus technology and its commercialization. You will have the opportunity to be involved in applying mTMS into SCM, but also to get acquainted with any of our other than fMRI technologies (MEG, EEG, nTMS and mTMS), guided and instructed by some of the best in all these fields.
• Responsible and meaningful role with true impact in our University’s success, and in the end, in the wellbeing and development of our society. In NBE, we work on developing our innovative technologies into clinically meaningful and useful techniques. You will have the opportunity to work in clinical and environment such as BioMag laboratory, get acquainted with clinical habits and routines and also follow all the steps in the chain of SCM for presurgical evaluation, which includes interaction with real problems, patients, but also clinical neurophysiologists and neurosurgeons.
• Culture that inspires and includes everyone. All our work is guided by the values of the university: responsibility, courage, and collaboration.  It’s the people that create Aalto, now and in the future. We want to be an open community where equality and inclusion enable curiosity, innovation, collaboration and well-being.
• Support, coaching and sparring when you feel you need it. In this project and part of it we are wishing that you will help us apply advanced fMRI sequences and result in high accuracy speech network identification and localization. However, we are happy and proud to teach, guide and support every step for your scientific development, but also academic career.
• Great possibilities for competence development and learning. We constantly keep learning to find the most impactful ways to empower – and invest in – our people. In NBE and in Aalto, the possibilities for development are continuous. Besides the opportunity to meet and collaborate with top experts in the field of neuroscience and brain stimulation, many industrial and business projects and opportunities are available throughout the academic year.
• Aalto University offers a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transport.

For more information about living in Finland:

https://www.aalto.fi/en/careers-at-aalto/living-in-finland

https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package 

Join us!

To apply, please submit the following application materials as a single PDF document at latest 5 November 2023 through our recruitment system, using the link (“Apply now!”):

All application materials should be in English.

• Motivation letter (max 2 pages)
• CV (max 3 pages)
• 2 letters of reference
• Transcript of doctoral study for applying to postdoc position; both transcripts of MSc and BSc studies for applying PhD student position
• The degree certificate of your latest degree. If you are applying for a postdoc position and don’t yet have a PhD degree or for a PhD student position and don’t have a Master’s degree, a plan of completion must be submitted.

Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday à Internal Jobs by using their existing Workday user account. 

The call is open until suitable candidates have been identified. We will go through applications, and we may invite suitable candidates to interview already during the application period. You will hear from us the latest in the second week of December. We aim to have a transparent and equal recruitment process, so feel free to ask us for feedback.

For additional information

Enquiries on the position kindly contact Research Fellow Pantelis Lioumis ([email protected]).

For submission related enquiries, contact, HR partner Jenni Ståhl ([email protected])

Aalto University reserves the right to leave the position open, extend the application period, reopen the application process, and consider candidates who have not submitted applications during the application period.

Työpaikkailmoitus suomeksi löytyy täältä:

https://www.aalto.fi/fi/palvelut/tutkijatohtori-tai-vaitoskirjatutkija-aivojen-puhe-ja-kieliverkkojen-kartoituksen-tutkiminen

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PhD Position in Large Language Models for Computing Education at Aalto University

The Large Language Models for Computing Education research project is seeking a dedicated and talented individual to fill a fully funded four-year (2+2) PhD student position. The position is part of Dr. Juho Leinonen’s Academy Research Fellow project at Aalto University, Finland, funded by the Research Council of Finland.

The successful candidate will have the opportunity to conduct cutting-edge research with world-leading experts in computing education, specifically investigating the applications of large language models for computing education. The project includes two main focus areas: 1) studying how novice programmers use AI code generation tools and 2) exploring the creation of educational resources using large language models. The topic of the PhD should focus on one of these focus areas. You will be given support for travel to conferences and a research visit to The University of Auckland, connecting you with global leaders in the field. During the four-year PhD project, your tasks will include designing, implementing, and evaluating new large language model based tools for computing education.

Ideal applicants should have a strong computer science background and be proficient in software development. The applicant must have a Master’s degree in Computer Science or equivalent. Prior experience in research activities such as data analysis and writing scientific articles is considered a significant plus. However, what truly defines the ideal candidate is a deep interest in exploring potential applications of large language models for computing education.

To apply, please prepare a cover letter detailing your interest and qualifications for the position, a CV, and degree & study transcripts. Applications will be reviewed on a rolling basis and the position will be filled as soon as a suitable candidate is found, so don’t delay.

Please write your application and all the accompanying documentation in English. Please attach only the following documents as a single PDF to your application:

• A cover letter describing your interest and qualifications for the position (max. 1 page). The letter must be specific to this call and address the research you would like to pursue within the general theme of the project.

• Curriculum vitae (including a list of publications, if any).

• Copies of your MSc and BSc degree certificates, including transcripts of all MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish also accepted).

Submit your application through the Aalto University recruitment site (“Apply now!” button) by 8th October 2023.

The starting date of the position is in September 2023 at the earliest, or as agreed. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. The starting salary for a doctoral student is approximately 2700 EUR/month and increases with thesis progress.

Aalto University offers a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transport. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/living-in-finland  https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package 

For further details about this position, please contact Dr. Juho Leinonen ([email protected]).

Aalto University is dedicated to fostering an inclusive and diverse research community. We are excited to review applications from candidates of all backgrounds and researchers from underrepresented groups are particularly encouraged to apply.

If you are already working at Aalto University, please apply via our internal Workday system (Career)
 

Suomeksi:

Etsimme motivoitunutta jatko-opiskelijaa nelivuotiseen (2+2) rahoitettuun tohtorikoulutettavan paikkaan. Paikka on osa dosentti Juho Leinosen “Large Language Models for Computing Education”-tutkimusprojektia. Projektissa tutkitaan suurien kielimallien sovelluksia tietotekniikan opetuksessa.

Keskeiset tehtävät:

• Tutkia, kuinka aloittelevat ohjelmoijat käyttävät AI-avusteisia ohjelmointityökaluja.

• Kartoittaa opetusresurssien luomista suurilla kielimalleilla.

Hakijalta odotetaan vahvaa tietotekniikka/tietojenkäsittelytiede-taustaa ja ohjelmointitaitoa. Aikaisempaa kokemusta tutkimuksen tekemisestä pidetään etuna. Paikkaan valittu tulee saamaan tukea konferenssimatkoihin ja tutkimuskäyntiin Aucklandin yliopistossa.

Hakemus tulee toimittaa Aalto-yliopiston rekrytointisivuston kautta viimeistään 8. lokakuuta 2023. Aloitusajankohta on aikaisintaan syyskuussa 2023 tai sopimuksen mukaan. Lähtöpalkka on noin 2700 EUR/kk ja nousee väitöskirjaprojektin edetessä. Katso tarkemmat hakuohjeet ja tiedot hakuun vaadituista dokumenteista paikan englanninkielisestä kuvauksesta.

Lisätietoja tehtävästä antaa Juho Leinonen ([email protected]).

Aallon nykyiset työntekijät: hae tehtävää Workdayn “career” järjestelmän kautta.

More about Aalto University:

Aalto.fi
twitter.com/aaltouniversity  
facebook.com/aaltouniversity
instagram.com/aaltouniversity

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.

We are seeking a highly motivated and talented Doctoral Researcher to join our team and contribute to a strategic international research project.

Your role and goals

The candidate will work on a project that involves: interoperability technologies and standards of documents, models and technologies that provide the assurance/dependability of the data across different systems and industry value chains, for example, ensuring sustainability information exchange in company networks for calculating product environmental assessment in a holistic and detailed manner. The work is expected to lead to scientific publications in international academic conferences and particularly journals.

The doctoral researcher applicants must fulfill the admission requirements for the Aalto Doctoral Programme in Electrical Engineering. You are expected to apply for and to be granted a right to pursue doctoral studies at Aalto University. More information on the general requirements and the Doctoral Programme in Electrical Engineering: https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering. Please check the student information, admission criteria and pay attention to the required (English) language proficiency.

The candidate will work together with Aalto Factory of the Future team (https://www.aalto.fi/en/futurefactory ), which investigates radical concepts and methods that enable flexibility and high intelligence of industry sectors, based on various technology enablers such as Digital Twins, Artificial intelligence and the IEC 61499 distributed automation.

Your experience and ambitions

You must have a master’s degree in control / automation, mechatronics, computer engineering / computer science, or related areas. In addition, good proficiency in English is required, proven with official English test certificate.

We expect candidates to have good understanding and interest in industrial automation systems engineering and systems modeling and simulation, combined with solid software development (e.g., Python, Java, C/C++) & software engineering skills.

Excellent analytical and problem-solving skills are paramount, combined with effective communication, good teamwork and positive collaboration attitude.

Having fundamental and/or practical knowledge of blockchain or distributed ledger technologies, industrial data spaces technologies, service-oriented architecture, cloud computing, or cybersecurity is highly appreciated.

Prior relevant industrial or research experience, or published papers in related domains is a significant plus.

What we offer

• Meaningful and inspiring environment. We are proud of our purpose to shape a sustainable future. We spark the game changers of tomorrow, and renew society with research-based knowledge, creativity and an entrepreneurial mindset.

• Culture that inspires and includes everyone. All our work is guided by the values of the university: responsibility, courage, and collaboration.  It’s the people that create Aalto, now and in the future. We want to be an open community where equality and inclusion enable curiosity, innovation, collaboration and wellbeing.

• Responsible and meaningful role with true impact in our School’s success, and in the end, in the wellbeing and development of our society.

• Support, coaching and sparring when you feel you need it.

• Great possibilities for competence development and learning. We constantly keep learning to find the most impactful ways to empower – and invest in – our people.
   

The doctoral studies at Aalto University take approximately four years. The researcher is expected to commit to complete a Doctoral Dissertation (to obtain PhD degree) within this time in the project.
 

Aalto University follows the salary system of Finnish universities. The starting (gross) salary for a Ph.D. student is approximately 2700 EUR/month. It will increase with achievements, such as scientific publications.
 

We offer a wide range of staff benefits, such as occupational health care, excellent sports facilities on campus, and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus, which is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections with public transportation.

Join us!

To apply, please share the following application materials in English with us through our recruitment site (“Apply now!”) no later than 15 October 2023:

• A motivation letter (1 page)

• CV – which includes list of publications, and link to personal Git repository (e.g., github, gitlab, bitbucket) if any (max 4 pages)

• Description of MSc thesis project (max 1 page)

• English language proficiency evidence (TOEFL / IELTS, see the minimum proficiency level from the doctoral programme’s instructions)

• Educational degree certificates and official transcripts (bachelor and master)

• Contact details of (maximum 3) referees who can be reached to provide recommendation (email address, or if not available, the referee’s phone number)
   

We will go through applications, and we may invite suitable candidates to interview already during the application period. We aim to have a transparent and equal recruitment process, so feel free to ask us for feedback.
 

Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday (Internal Jobs) by using their existing Workday user account.
 

Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period.

For more information

For further details, please contact Professor Valeriy Vyatkin ([email protected]) or Staff Scientist Udayanto Dwi Atmojo ([email protected]). For submission related queries, contact HR Partner Camilla Hanganpää ([email protected]).
 

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. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/living-in-finland & https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package.

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto. Check out our new virtual campus experience: https://virtualtour.aalto.fi/

You can find this job advertisement in Finnish here.

More about Aalto University:

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Samuel Kaski’s research group on Probabilistic Machine Learning (https://research.cs.aalto.fi/pml/) is searching for postdocs and doctoral researchers (PhD students) to work on AI fundamentals and/or join 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 Turing Institute, ELLIS, and researchers of other domains in our applications.

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, and Research Director of the Pankhurst Institute for Healthcare Technology. His research group develops machine learning principles and methods focusing on a few key topics (see “Probabilistic modelling and Bayesian inference for machine learning” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Probabilistic modelling and Bayesian inference for machine learning

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.

We are looking for a new postdoc or PhD student 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 I am 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 me know what you are interested in – if we are already working on it, all the better, but I am willing to listen to new ideas too. 

Machine learning for drug design

Keywords: probabilistic modelling, drug design, deep learning

Recent progress in machine learning for generative and predictive models of molecules brings us towards computational, automatised drug design. We develop statistical methods and models for molecular structures, energies and interactions with the help of deep learning. A number of open problems reside in developing neural network models with physics-based inductive biases, in generative models in 3D spaces, in modelling the property landscapes of molecules, and in generalizing outside the training distribution in molecular design.

We are looking for motivated candidates with background in computational sciences, machine learning, statistics.

Team: this position is in the Probabilistic Machine Learning (PML) research group at Aalto, https://research.cs.aalto.fi//pml and will involve collaboration with Prof. Vikas Garg (https://research.aalto.fi/en/persons/vikas-garg) and Dr Markus Heinonen.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, reinforcement learning,  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 position is available in a new large multi-year project, the Virtual Laboratory for Biodesign (BIODESIGN), implemented in collaboration between FCAI and VTT Technical Research Centre of Finland.

Supported by a 2 million EUR grant from the Jane and Aatos Erkko Foundation, the BIODESIGN project aims for breakthroughs in AI techniques for protein design by combining the strength of novel deep learning models with AI-based design and human feedback in a Design-Build-Test-Learn cycle. The virtual laboratory is envisioned to have wide-range applications in industry (e.g., new biochemicals, biomaterials and drugs) and to help the transition to a carbon-neutral society.

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: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

We invite applications from early-career scientists at all levels: Doctoral researcher (PhD student), Postdoctoral researcher, and Research fellow. 

The successful applicants will join a world-class research team where top AI researchers in FCAI (led by Professors Samuel Kaski, Juho Rousu and Vikas Garg) join forces with synthetic biology experts of VTT (led by Prof. Merja Penttilä). 

Team: this project will involve collaboration with Prof. Juho Rousu (https://research.aalto.fi/en/persons/juho-rousu) and Prof. Vikas Garg (https://research.aalto.fi/en/persons/vikas-garg).

Deep learning with differential privacy

Keywords: Deep learning, hyperparameter learning, differential privacy

Differential privacy allows developing machine learning algorithms with strong privacy guarantees. Recent work shows it is possible to combine strong privacy and high accuracy by pre-training models on public data and only fine-tuning the model with the sensitive data. However, high accuracy still requires a few key problems to be solved. The aim of this project is to develop methods that make it easier to train high accuracy private models. The project will benefit from a very large grant of compute time on LUMI, 3rd fastest supercomputer in the world. The project requires a background in deep learning.

Team: this project will involve collaboration with Prof. Antti Honkela (https://www.cs.helsinki.fi/u/ahonkela/).

AI-Assisted Modeling in Economics

Keywords: probabilistic machine learning, mechanism design,  game theory

We are seeking a PhD student interested in developing machine learning approaches to study questions in economics. A particularly interesting research problem is how to incorporate machine learning into game theoretic and mechanism design problems with specific focus on how AI-assistants can be used in the design of robust mechanisms. The candidate needs sufficient background in CS/stats/math, preferably also machine learning, and an interest in engaging in economics.  We welcome applicants interested in doing a PhD supervised by Prof. Samuel Kaski from the Finnish Centre for Artificial Intelligence in collaboration with Prof. Otto Toivanen and Prof. Daniel Hauser from Helsinki Graduate School of Economics.

Team:  This project involves collaboration with Professor Otto Toivanen whose research interests are in the intersection of competition, innovation and regulation(his profile here) and Assistant Professor Daniel Hauser who is an economic theorist focusing on learning in dynamic games (his profile here).

Probabilistic modeling for neuroimaging (AI-Mind)

Keywords: Neuroimaging, probabilistic modeling, Alzheimer’s, medical AI

We are looking for researchers  to join us in developing new probabilistic modeling and machine learning methods needed in the core problems of modern neuroscience, based on (functional) brain imaging and clinical data. In this domain, methods need solid uncertainty estimates and ability to uncover both linear and nonlinear relationships from data, and those are key properties of the probabilistic modeling methods we work on. The project requires a background in probabilistic modeling and Bayesian inference, preferably in the machine learning context, and good communication skills. Prior experience in neuroimaging research is a bonus. 

The work will be related to a large EU project including an excellent neuroscience collaborator, Prof. Riitta Salmelin of Aalto, and unique data coming from a number of collaborators across Europe. In the project we are developing new machine learning methods for estimating individual “fingerprints” of brain activity that are predictive early of later disturbances, with large application potential in early-onset dementia and Alzheimer disease.

Links: http://research.cs.aalto.fi/pml/ https://www.ai-mind.eu/project/

Team: this project involves collaboration with Riitta Salmelin (Neuroscience, NBE), and AI-Mind project partners across Europe.

Collaborative Machine Learning

This topic is our strong focus and we recruit new members to our team through FCAI’s call for postdocs and PhD students. Please apply to topic “5) Collaborative AI and Human Modelling” in the FCAI call. You can enter your wishes about supervision arrangements in the cover letter.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree (for postdocs) or MSc degree (for PhD students) and have 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 

1) RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design the collaboration 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), Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications. 

2) JOB DETAILS

All positions are fully funded, and the salaries are based on the Finnish universities’ pay scale. The contract includes occupational healthcare. 

Postdoc positions are typically made for up to three years. Following the standard practice, the PhD student position contract will be made initially for two years, then extended to another two years after a successful mid-term progress review.

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.

Ready to apply?

Submit your application through our recruitment system Workday by clicking Apply button under the page title. The deadline for applications is 1st October at 23:59 Finnish time (UTC +2).

Required attachments

1. Cover letter (1–2 pages). 

2. CV

3. List of publications (please do not attach full copies of publications)

4. A transcript of doctoral study for applying to postdoc positions; both transcripts of MSc and BSc studies for applying PhD student positions

5. The degree certificate of your latest degree. If you are applying for a postdoc position and don’t yet have a PhD degree or for a PhD student position and don’t have a Master’s degree, a plan of completion must be submitted.

6. 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 and visitors 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: Fang Wang ([email protected])

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 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:

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Aalto.fi 

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We are seeking highly motivated and talented researchers to join our interdisciplinary team and work on physics-informed machine learning (PIML). Multiple positions are open for projects aimed at bridging the gap between physics-based modeling and data-driven techniques, with a specific focus on machine learning and probabilistic methods for radiological diagnostics, multiscale modeling, and microstructure modeling. Potential research topics include:

• Developing general physics-informed machine learning (PIML) methods that integrate fundamental physical models into advanced deep neural network architectures and Gaussian process models in collaboration with various experts from USA and Europe.

• Advancing physics-guided neural networks, surrogate models, and other PIML methods for materials design. These methods will have applications in a joint EU project in partnership with Finnish research institute VTT, KTH, and TU-Wien for optimizing material properties.

• Advancing PIML, stochastic optimization methods, and data-driven control methods for monitoring and control systems of mining processes (e.g., in gold mines) in collaboration with industrial partners.

• Developing state-of-the-art data-driven and ML methods for magnetic resonance fingerprinting (MRF) in a joint Research Council of Finland project with the University of Oulu and the University of Eastern Finland.
   

The research projects are done in close collaboration with the Finnish Center for Artificial Intelligence (FCAI) and European Laboratory for Learning and Intelligent Systems (ELLIS).
 

Research group

The positions are available in the growing Sensor Informatics and Medical Technology (Sensori-informatiikka ja lääketieteellinen tekniikka) research group. We aim to carry out original high-quality research and continuously publish in top journals and conferences of the field. We have an extensive international collaboration network, which will facilitate the mobility of our researchers to leading research groups abroad, and vice versa. Our group is located at the Department of Electrical Engineering and Automation at Aalto University in Espoo. It is also affiliated with the Finnish Center for Artificial Intelligence (FCAI) and with Laboratory for Learning and Intelligent Systems (ELLIS).

Number of positions: 2-3 (or more)

Supervisor: Prof. Simo Särkkä ([email protected])

Requirements:

• For doctoral candidates (PhD students): MSc. in physics, mathematics, electrical engineering, computer science, or related field

• For postdocs: PhD (or equivalent) in physics, mathematics, electrical engineering, computer science, or related field

• Knowledge in machine learning, deep learning, statistical inference, Bayesian filtering and smoothing, optimization and control, or physics

• Proficient in programming languages used in scientific computing, such as, Python, Matlab, or Julia

• Experience or will to learn ML frameworks such as PyTorch, TensorFlow, or JAX.

• Fluency in English

• Academic publication and presentation skills are appreciated

As a person, we hope that you are:

• An enthusiastic technical writer

• Proactive

• Comfortable in working in multi-disciplinary and international teams

• Eager to learn

• A team player

Salary information

The expected starting salary for a doctoral candidate is approximately 2700 € per month, and the salary will increase with responsibilities and performance over time. The contract for a doctoral candidate is made for 4 years. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system.
 

The approximate starting salary for a postdoc is 3900 € per month with the same benefits. Postdocs typically receive contracts for 2+1 years. Even a research fellow position is possible (salary will be determined according to experience).
 

The annual total workload of teaching staff at Aalto University is 1 612 hours. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transportation.

Ready to apply?

Please submit your application through our recruiting system using “Apply now!” link below. Please be prepared to add the following attachments:

• Motivation letter describing why you want to work with us (e.g., which publications you liked)

• CV (please highlight any open source, publications, or other projects that are relevant)

• Transcripts of studies

• Recommendation letter(s) if you have any

Application period is open until 15 October, 2023, but we will start reviewing candidates immediately. Applications will be considered until the position(s) are filled.

More information

If you wish to hear more about the position, please contact Prof. Simo Särkkä (https://users.aalto.fi/~ssarkka/), email: [email protected]. Regarding the application process and practical arrangements, please contact HR partner Camilla Hanganpää ([email protected]).

You can read this job advertisement in Finnish here.

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Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki invite applications for PhD student, postdoc and research fellow positions in machine learning. You will join one of the top AI research centers in the Nordics and in Europe, with an access to an excellent network of scientists and broad range of possibilities to work with companies.

Your research can be theoretical, applied, or both. The positions are in the following areas of research:

1) Reinforcement learning
2) Probabilistic methods
3) Simulation-based inference
4) Privacy-preserving machine learning
5) Collaborative AI and human modeling
6) Machine learning for science

You will join a community of machine learning researchers and will be part of a broader team of researchers studying similar topics, mentored by a group of several experienced professors.

Please see this website for the full details about the positions and job details. The text below contains only an excerpt of the full call text.

What we are looking for:

You have previous experience in machine learning, statistics, artificial intelligence or a related field, preferably demonstrated by success in related studies (PhD student applicants) and/or publication record in the leading machine learning venues (e.g. AAAI, AISTATS, ICLR, ICML, JMLR, NeurIPS) (postdoc/research fellow applicants). Other merits demonstrating suitability for a researcher position can also be considered.

You hold (or expect to shortly receive) a Master’s degree (PhD student applicants) or a PhD (postdoc applicants) in computer science, statistics, electrical engineering, mathematics or a related field.

Working environment:

The positions are based either at Aalto University or at the University of Helsinki, depending on the primary supervisor. All positions are fully funded, and the salaries are based on the Finnish universities’ pay scale. The contract includes occupational healthcare. 

Postdoc positions are typically made for up to three years. Following the standard practice, the PhD student position contract will be made initially for two years, then extended to another two years after a successful mid-term progress review. Experienced postdoc applicants can be considered for research fellow positions, typically having previously worked successfully as postdocs for several years.

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. 

Required attachments:

• Cover letter (1–2 pages). Please specify the FCAI Teams and supervisors with whom you want to work.
• CV
• List of publications (please do not attach full copies of publications)
• A transcript of doctoral/MSc&BSc studies and the degree certificate of your latest degree. If you are applying for a postdoc position and don’t yet have a PhD degree or for a PhD student position and don’t have a Master’s 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.

Ready to apply?

Please submit your application by October 1 (23:55 Finnish time) through the Workday recruitment system.

Note: If you are already an employee or a visitor in Aalto University, please apply for the position via Aalto’s internal Workday system (Career) using your existing Workday user account. 

Further information:

Please see the call website for more information about the positions, working environment, job details, and FAQ. If you have questions that are not answered on the website, please contact marlene.saracino at aalto.fi on questions about the recruitment system (Workday) or kaisa.pekkala at aalto.fi on any other questions.

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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 Nanomagnetism and Spintronics group at the Department of Applied Physics of Aalto University in Finland is looking for a highly motivated Postdoctoral Researcher to work on unconventional spin-wave computing. The project, which is funded by the Academy of Finland (2023 – 2027), studies the physics of hybrid magnonic elements consisting of low-loss YIG films and ferromagnetic nanostructures such as resonators, waveguides, (de)multiplexers, directional couplers, and concave/convex lenses. The most suitable hybrid structures will be integrated into magnonic nanocircuits. We aim at the demonstration of energy-efficient logic gates based on interferometry and the realization of magnonic neural networks for the classification, autoencoding, and recognition of environmental information.

Your experience and ambitions

We are looking for a bright and motivated postdoc with an excellent record in the field of the position. Good command of English (both verbal and written) and demonstrated ability to disseminate scientific results are mandatory requirements for the position. Finnish language is not required. Applicants must be motivated to conduct research at the highest international level with the aim at publishing high-impact articles. To be eligible, a postdoctoral researcher must hold a PhD degree in a suitable field.

What we offer

The duration of the position is initially two years. The annual workload of research and teaching staff at Aalto University is currently 1612 hours. Aalto University follows the salary system of Finnish universities. The postdoc salary ranges from 3900 € to 4300 € per month, depending on previous experience. The contract includes occupational healthcare.

You will join the Nanomagnetism and Spintronics group (https://www.aalto.fi/en/department-of-applied-physics/nanomagnetism-and-spintronics-nanospin) at Aalto University. We conduct research on nanoscale phenomena and materials for future memory and unconventional computing technologies. Current research projects focus on low-loss hybrid magnonics, the coupling of magnons to phonons, photons, and plasmons, reconfigurable magnonic neural networks, control of magnetism by voltage, and skyrmionics. For smart in-sensor computing, we are developing multisensory interconnected networks that can process multimodal information using photomemristor networks with build-in memory. Our laboratory is equipped with advanced instrumentation for thin-film growth and advanced magnetic, electronic, and magneto-optical characterization. For the advertised position, the following techniques are most relevant: Magnetron sputtering system, pulsed laser deposition system for high-quality YIG film growth, VNA-FMR, broadband spin wave spectrometry, super-Nyquist sampling magneto-optic Kerr effect microscopy for spin-wave imaging, and various techniques for magnetic and structural characterization. You will also have full access to the OtaNano research infrastructure for nano- and microtechnologies (http://otanano.aalto.fi/en/), comprising state-of-the-art equipment for nanofabrication and microscopy.

Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. There is great freedom in your role, and we have a flexible modern working culture. We value work-life balance and well-being in all aspects of life.

We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the recently opened metro line.

Join us!

To apply, please send the following documents as a single PDF file (all documents in English) us through our recruitment site (“Apply now!”):

• Letter of motivation.
• CV including list of publications
• Degree certificates and academic transcripts
• Contact details of at least two referees (or letters of recommendation, if available)

The deadline for applications is 30 September 2023. We will go through applications, and we may invite suitable candidates to interview already during the application period. The position will be filled as soon as a suitable candidate is identified. For additional information, kindly contact Prof. Sebastiaan van Dijken ([email protected]). Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period.

Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday à Internal Jobs by using their existing Workday user account. 

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto

Check out our new virtual campus experience: https://virtualtour.aalto.fi/

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/en/careers-at-aalto/living-in-finland & https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package .

SUOMEKSI

Tutkijatohtori Teknillisen fysiikan laitokselle Nanomagnetism and Spintronics-tutkimusryhmään.pdf (aalto.fi)

More about Aalto University:

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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 Soft Matter and Wetting research group at the Department of Applied Physics ( http://physics.aalto.fi/smw) is looking for a highly motivated Doctoral Researcher in Underwater Superhydrophobicity, aiming at obtaining PhD degree. We expect the ideal candidate to be passionate about exploring new frontiers in this discipline and pushing beyond the current state-of-the-art.

The project deals with superhydrophobic surfaces that can trap air (plastron) within the surface roughness features when immersed in water. Understanding the plastron’s stability and dynamics is extremely important for underwater applications such as drag reduction, prevention of corrosion and biofouling. Thus, the primary research activities for this position will involve materials design (microfabrication), surface modification, wetting characterization, use of imaging techniques (high-speed cameras and microscopy), fluid mechanics and dynamics.

Your experience and ambitions

Applicant must have Master’s degree in physics, chemistry, materials science (or engineering) or a closely related field. Prior experience in a programming language (e.g. MATLAB, Python) is required. Profound knowledge in surface wetting or microfabrication is appreciated. Experience in developing and testing experimental setups would be beneficial.

A successful candidate should demonstrate capability and willingness to learn new methods, work independently and in a team, and have good written and oral communication skills in English. The selected candidate needs to apply for the study right in doctoral studies at Aalto University School of Science. Please check the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-science-0. Specifically, pay attention to the required language proficiency (English language). Finnish language is not required. Additionally, the applicant is expected to have good interpersonal skills and to be self-motivated.

What we offer

Aalto University offers excellent learning and development opportunities, an inspiring and supportive working environment, and a diverse professional community. By joining our group, you would get the possibility to develop multidisciplinary research skills and be engaged in collaboration with other research groups in Aalto University.

Besides conducting high-quality scientific research, the candidate will also get an opportunity to develop supervising and teaching skills, e.g., by advising graduate and undergraduate students and acting as a teaching assistant for one of the department courses.

The position is immediately available. The contract will be made initially for two years and extended to another two years after a successful mid-term progress review. The total duration of doctoral studies is four years.

The annual workload of research and teaching staff at Aalto University is 1612 hours. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral researchers is approximately 2690 € per month (gross), and it increases as you progress in your research and studies. The contract includes Aalto University occupational healthcare.

Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. There is great freedom in your role, and we have a flexible modern working culture. We value work-life balance and well-being in all aspects of life.

We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the recently opened metro line.

Join us!

To apply for the position, please submit application as a single PDF document latest by 30th September 2023 through our online recruitment system using the link on Aalto University’s web page (“Apply Now”).

The call is open until suitable candidates have been identified. The applications will be reviewed on a continuous basis. We will go through applications, and we may invite suitable candidates to interview already during the application period.

Application material should include (all documents in English):

• Letter of motivation (max. one page and include an explanation of how you fit the position)
• Short research plan (one to two pages). 1) Propose a research question on the topic of underwater superhydrophobicity, 2) why is it important to investigate, 3) how would you be investigating this (i.e. methods and instruments)?
• CV (maximum two pages) with contact details of two referees (do not attach letters).
• Diploma certificate
• Transcript of records (BSc and MSc)

For additional information, kindly contact Prof. Robin Ras (firstname.lastname(at)aalto.fi). Aalto University reserves the right to leave the position open, extend the application period, reopen the application process, and consider candidates who have not submitted applications during the application period.

Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday –> Internal Jobs by using their existing Workday user account. 

Want to know more about us and your future colleagues?You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto

Check out our new virtual campus experience: https://virtualtour.aalto.fi/

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/happiest-countries-prove-resilient-despite-overlapping-crises/ & http://www.oecdbetterlifeindex.org/countries/finland/. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/living-in-finland & https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package.

SUOMEKSI

Aalto-yliopistossa tiede ja taide kohtaavat tekniikan ja talouden. Rakennamme kestävää tulevaisuutta saavuttamalla läpimurtoja avainalueillamme ja niiden yhtymäkohdissa. Samalla innostamme tulevaisuuden muutoksentekijöitä ja luomme ratkaisuja maailman suuriin haasteisiin. Yliopistoyhteisöömme kuuluu 13 000 opiskelijaa ja yli 4500 työntekijää, joista 400 on professoreita. Kampuksemme sijaitsee Espoon Otaniemessä. Monimuotoisuus on osa meitä, ja teemme jatkuvaa työtä yhteisömme monimuotoisuuden ja syrjimättömyyden varmistamiseksi. Siksi kannustammekin päteviä hakijoita taustasta riippumatta liittymään yhteisöömme.

Aalto-yliopiston Teknillisen fysiikan laitos hakee väitöskirjatutkijaa Soft Matter and Wetting -tutkimusryhmään

Tehtävässä olet avainroolissa toteuttamassa Aallon strategiaa ja rakentamassa edellytyksiä huipputason tutkimukselle. Tutustu tehtävän tavoitteisiin ja odotuksiimme englanninkielisestä ilmoituksesta yllä.

Tarjoamme

Tarjoamme sinulle mielenkiintoisen työn inspiroivassa työympäristössä. Pääset työskentelemään opiskelijoiden, tutkijoiden ja muiden ammattilaisten yhteisössä, jossa edistämme yhteiskunnallisesti merkittäviä tavoitteita tieteen ja koulutuksen saralla. Perehdytämme sinut tehtäviisi ja pääset osaksi mukavaa ja osaavaa tiimiä, joka tarjoaa sinulle tuen työtehtäviisi myös jatkossa. Kannustamme ja tarjoamme mahdollisuuksia jatkuvaan oman osaamisesi kehittämiseen.

Pyrimme yhdistämään etä- ja lähityöskentelyn parhaat puolet ja meillä on joustavat työajat. Lähityöpisteesi sijaitsee uudistuneella ja elävällä Otaniemen kampusalueella, jossa on monipuoliset palvelut ja hyvät kulkuyhteydet metron ja isojen väylien varrella.

Sopimus on määräaikainen ja aluksi kaksi vuotta. Sopimusta voidaan jatkaa kahdella vuodella väliarvioinnin suorittamisen jälkeen. Aalto-yliopiston tutkimus- ja opetushenkilöstön vuosittainen työmäärä on 1612 tuntia. Tehtävän palkkaus määräytyy Aalto-yliopistossa käytössä olevan yliopistojen palkkausjärjestelmän mukaisesti. Väitöstutkijan aloituspalkka  on noin 2690 € kuukaudessa (brutto), ja se nousee tutkimuksen ja opintojen edetessä. Sopimus sisältää Aalto-yliopiston työterveyshuollon. Toivomme, että voit aloittaa tehtävässä mahdollisimman pian sopimuksen mukaan.

Kiinnostuitko?

Jos innostuit tehtävästä ja haluat liittyä joukkoomme, lähetä ansioluettelosi, hakemuskirje (max. 1 sivu, kerrothan siinä miten sopisit tehtävään), tutkintotodistukset sekä opintosuoritusotteet ja vähintään kahden suosittelijan yhteystiedot sekä lyhyt tutkimussuunnitelma (1-2 sivua) englanniksi yhtenä PDF-dokumenttina rekrytointijärjestelmämme kautta viimeistään 30.9.2023. Tutkimussuunnitelmassasi vastaathan seuraaviin kysymyksiin: 1) Propose a research question on the topic of underwater superhydrophobicity, 2) why is it important to investigate, 3) how would you be investigating this (i.e. methods and instruments)?

Jos olet Aallon työntekijä tai vierailija, haethan sisäistä hakukanavaa käyttäen kirjautumalla ensin Workday-järjestelmään (internal jobs).

Lisätietoja antaa professori Robin Ras (etunimi.sukunimi(at)aalto.fi).

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We are looking for an excellent PhD Candidate to work in characterization of healthy and diseased mouse models from retinal circuits to visually guided behaviour

Timeline of the call:

The position will be filled as soon as a suitable candidate is found. Thus, submit your application as soon as possible.

Objectives:

• Characterize the retinal output of different mouse models of retinal diseases

• Correlate the retinal output to the animal behavior in the water maze

Host institution: Aalto University (Aalto, Finland) – Supervisor: Petri Ala-Laurila

Dr Ala-Laurila has two laboratories (http://ala-laurila.biosci.helsinki.fi/): one at Aalto University and one at University of Helsinki. Both labs work in integrated collaboration and have state-of-the art approaches to study retinal circuits and visually-guided behavior. They combine cutting-edge electrophysiological recording techniques with precise manipulations of retinal circuit function, mathematical modelling and quantitative behavioral measurements: https://www.youtube.com/watch?v=ZniIYFSIcT8

Aalto University (Aalto) is the largest technology-oriented university in Finland. The Department of Neuroscience and Biomedical Engineering is located in the Otaniemi campus – one of the most important north-european technology hubs, with a high concentration of companies, and research institutes from the high-technology sector, and with a thriving culture of entrepreneurship.

The University of Helsinki is Finland’s largest and oldest academic institution and an innovative centre of science and thinking. University of Helsinki has contributed since 1640 to the establishment of a fair and equal society that is considered one of the best in the world. The multidisciplinary academic community solves problems that affect us all – with the power of knowledge, for the world.

Requirements from the applicant:

• Highly motivated, previous experience on behavioral experiments and/or electrophysiology is a plus
• Formal requirements for eligibility: at the time of appointment, applicant must not have resided or carried out their main activity (work, studies, etc.) in Finland for more than 12 months in the 3 years immediately prior to their recruitment. Short stays, such as holidays, are not taken into account.

Application documents:

• Motivation letter
• CV
• Recommendation letters (max. 3)
• Scanned copy of the degree which would formally entitle the candidate to embark on doctorate.
• Transcript of records for both Bachelor´s degree and Master´s degree (or equivalents).

Applications will be reviewed as soon as they arrive so please submit your application as soon as you can.

For additional information, please contact Krishna Dovzhik (Ala-Laurila lab), [email protected]

More about your future work environment:

More about Ala-Laurila lab:
https://twitter.com/AlaLaurilaLab 
http://ala-laurila.biosci.helsinki.fi/

More about University of Helsinki:
https://twitter.com/helsinkiuni
https://www.helsinki.fi/en/faculty-biological-and-environmental-sciences/research/molecular-and-integrative-biosciences

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Aalto.fi
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The School of Arts, Design and Architecture (ARTS) is an institution of higher education for design, media, architecture, motion picture, art education and art. The current key areas of research are design, digital media, audiovisual representation, art, visual culture, welfare architecture and emerging technologies as well as urban planning and design. The school produces specialists and innovators of art, design and architecture with strong artistic and technical skills.

VISITING RESEARCHER/SCHOLAR IN AALTO UNIVERSITY SCHOOL OF ARTS, DESIGN AND ARCHITECTURE 

(unfunded position, researcher shall organise funding by him/herself)

Fruitful interaction between science, art, design and architecture makes research carried out at the Aalto University School of Arts, Design and Architecture highly versatile. The topics of research relate to the fields of art, design, media and architecture with sustainable development as an all-encompassing theme.

Departments

Department of Architecture
Department of Art
Department of Design
Department of Film
Department of Media

General information

The Aalto School of Arts, Design and Architecture offers a Visiting Researcher in ARTS positions for postdoctoral Researchers and Doctoral Candidates. Please note that master level students are not accepted. The position is UNFUNDED and open to Researchers from all countries. Visiting Reseracher should have preferably secured funding for the duration of the visit before applying for this position. Visiting Researcher in ARTS is for a full semester position or a full academic year. The applicant may indicate a particular time period of the visit and the starting date of the visit.

Academic calendar

Autumn term 1.8. – 31.12.

Spring term 1.1. – 31.7.

Summer break (summer schools/classes) in June-August

Christmas break mid December – mid January

Please see detailed information:

https://into.aalto.fi/display/enopinnot/Academic+calendar+2022-2024

The Visiting Researcher in ARTS will be provided working space, IT services, access to the library services, opportunity to participate in the Department’s and School of Arts, Design and Architecture’s events, and interact with staff and other Researchers within the School of Arts, Design and Architecture. Additionally s/he will be part of a larger research community of Aalto University. The school will help to arrange housing for the Visiting Researcher in ARTS.

Visiting Researcher in ARTS is expected to undertake research and publication in collaboration with Department’s personnel and independent research. S/he is expected to prepare a lecture about the research topic within two weeks of arrival and may be asked to contribute to the teaching of the Department. Visiting Researcher is also expected to participate in departmental meetings. The Visiting Researcher will have to sign an Academic Visitor contract with the School of Arts, Design and Architecture immediately after arrival in Finland.

The applicants are expected to start within a year from the application time. Please indicate the period of your stay in the application form and the starting date of your visit.

How to apply

Before applying for this position please get in contact with the professor whose research is related to your plans within the specific department. Please name the professor with whom you have been in contact with.Links to departments can be found here: http://arts.aalto.fi/en/departments/.

The applications for the Visiting Researcher/Scholar in ARTS position are to be submitted through the eRecruitment system (link ‘Apply’).

(If you are already working at Aalto or have a visitor profile, please apply via our internal system Workday -> Find Jobs.)

The application for the position should contain (in pdf format):

•     CV
•     Plan for research and activities at Aalto University
•     List of publications

All material should be submitted in English. The application materials will not be returned. By filling in the application you declare that the information provided is complete, true and correct to the best of your knowledge.

Familiarize yourself with Aalto University’s privacy notice:

Privacy notice for researchers, professionals and visiting scholars | Aalto University

The decision will be announced within approximately two months via email to the applicant.

Further information about the application procedure of Visiting Researcher in ARTS, please contact: [email protected]

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