Tag-arkiv: Aalto University

Postdoctoral Researcher in Remote Sensing of Peatlands

Otaniemi, Espoo, Finland

Aalto University School of Engineering, Department of Built Environment invites applications for a

POSTDOCTORAL RESEARCHER IN REMOTE SENSING OF PEATLANDS

Project description
Aalto Remote Sensing Research Team (https://www.aalto.fi/en/remotesensing), led by prof. Miina Rautiainen, has a vacancy for a highly talented and motivated postdoc to work in a research project (PEATSPEC) funded by the Academy of Finland (2022-2025).The PEATSPEC project focuses on remote sensing of boreal peatlands. Peatlands spark heated environmental and economic discussions in Finland, and they play a major role in climate change mitigation. The goal of the PEATSPEC project is to develop methods for monitoring peatlands from space created by the availability of new satellite data (e.g., S2, EnMAP). The objectives are to create a fundamental understanding of how novel satellite remote sensing techniques and in situ spectral measurements can be used to characterize properties of plant communities and their spatial and seasonal changes in different types of boreal peatlands. In addition, using time series of satellite data and field reference data from stakeholders, assessments of how boreal peatland management is connected to albedo will be conducted.

Requirements
The candidate must have high motivation and aptitude for research and must enjoy working as part of a team. Applicants should have a doctoral degree in remote sensing, geoinformatics, geography, forest sciences, environmental science or a related subject. For this position, applicants must have experience in analyzing optical remote sensing data, and planning and conducting field work. Fluent written and verbal communication skills in English are essential. A driver’s license (valid in Finland) is needed during the field campaigns. Knowledge of peatland and/or vegetation ecology or plant systematics are an advantage.


Research environment
The successful applicant will join a young and dynamic team of world-class researchers at Aalto University’s School of Engineering funded by the Academy of Finland and European Research Council. Aalto University is a public research university which was established in 2010 after a merger of three major Finnish universities. It is consistently highly ranked in the areas of science, art, technology and business. The University’s main campus is located in Espoo, approximately 15 minutes by metro from the center of Helsinki. Helsinki is a safe, clean, green capital city with a very high quality of life. Most Finns speak English fluently. More information about living and working in Finland can be found at https://www.aalto.fi/aalto-university/international-staff-information-package.

Salary, terms and conditions
Funding for the postdoc is available first for a two-year period. If the two-year period has been successful, a new contract (1.5 years) will be made. The expected starting date is January 2022.The postdoctoral candidate will be expected to conduct field work independently or with a research assistant in (remote) peatland locations in Finland and Estonia, to analyze spectral in situ and satellite data, to present at high-level scientific conferences, to publish in leading academic journals, to conduct several weeks/months long research visits to collaborators’ institutes in Europe, to participate in the activities of Aalto Remote Sensing Research Team, and to assist prof. Rautiainen in teaching activities (max 5% of working hours).The salary range, terms and conditions are based on a collective bargaining agreement among Finnish universities. The starting salary for postdoctoral researchers at Aalto University is currently around 3,600€ per month (gross) which may be gradually increased over time according to performance.

How to apply
All applications must include the following materials:

Motivation letter with the applicant’s contact information and an indication of the preferred starting date (max 1 page)

CV including details of all academic merits, and contact information for 2 persons who may be contacted to provide a character reference (max 3 pages)

Complete list of publications

An outline of the field work experience of the applicant (max 2 pages)

Summary of the applicant’s doctoral thesis (max 1 page)

Copy of the applicant’s doctoral degree certificateAll materials should be submitted in English in a single pdf-file (compiled in the order specified above). The application should be submitted through our online eRecruitment system (‘Apply’) before 30 September 2021.

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.Applications submitted by email will not be accepted. Aalto University reserves the right to leave the position open, extend the application period and consider candidates who have not applied during the application period.

Further information
Further information about working at Aalto University can be found at https://www.aalto.fi/aalto-university/international-staff-information-package. Content-related questions about the vacancy may be directed via email to Miina Rautiainen (professor, PEATSPEC principal investigator, miina.a.rautiainen@aalto.fi) while recruitment-related questions may be directed to Kirsi Kärkkäinen (HR Coordinator, using the email format firstname.lastname@aalto.fi).More about Aalto University:Aalto.fi
twitter.com/aaltouniversity  
facebook.com/aaltouniversity
instagram.com/aaltouniversity

Full time

R31910

About Us

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 12 000 students, 400 professors and close to 4 000 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.

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Post expires on Thursday September 30th, 2021

Postdoctoral Researcher in Machine Learning for Biomaterials

Kandikeskus

The Department of Applied Physics is now looking for a

Postdoctoral Researcher

The Computational Electronic Structure Theory (CEST) group at Aalto University is hiring a Postdoctoral Researcher. In this position, you will work in a collaborative team of biomaterials researchers from Aalto University in Helsinki and Åbo Akademi in Turku. You will have a chance to make an impact on sustainable development by applying tools from artificial intelligence (AI) to biomaterials research. Our objective is to optimize the conversion of lignin and carbohydrates into functional materials and to understand the relation between the processing conditions and the structural properties of the materials.

Your role and goals
You will be developing and applying data science and machine learning approaches to optimize and better understand lignin-carbohydrate complexes for applications in, e.g., carbon fibers, thermoplastics or 3D printing. You will also be developing digitalization workflows for the biomaterials in the project.  The position is part of an Academy of Finland funded research consortium. You will collaborate closely with the team members and coordinate the digitalization and optimization of the biomaterial samples and processing.

Your experience and ambitions
We welcome candidates with a PhD in chemistry, physics or materials science who are curious about applied machine learning in natural sciences. Prior machine learning or statistics experience is required. Biomaterials or polymer expertise, python knowledge or experience with digitalization are a bonus, but not a requirement. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science. This project requires creative thinking and programming, as well as technical expertise in machine learning and a broad understanding of biomaterials science. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science.

What we offer
In the Computational Electronic Structure Theory (CEST) group, led by Prof. Patrick Rinke, we advance electronic structure theory and machine learning to pursue innovative applications towards future technologies. We are a multi-cultural and cross-disciplinary team, with complementary subgroups and talents. Our group is part of the FinnCERES Biomaterials flagship (https://www.finnceres.fi/) and the Finnish Center for Artificial Intelligence (https://fcai.fi/) and you will be embedded in a lively community at the crossroads of biomaterials AI research. You will train in machine learning applications with experienced developers, meet our global network of collaborators, join us at scientific meetings, help us organize research workshops and get involved in academic and diversity outreach. In combination with the academic development courses at Aalto University, we will help you grow a competitive and international career profile.The fixed term contract is initially for 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 starting salary for a Postdoctoral researcher is approx. 3700€/month. The contract includes Aalto University occupational healthcare. The primary workplace will be the Otaniemi Campus at Aalto University.

Ready to apply?

To apply for the position, please submit your application including the attachments mentioned below as one single PDF document in English through our online recruitment system by using the link on Aalto University’s web page (“Apply”).(1)   Letter of motivation
(2)   CV including list of publications
(3)   Degree certificates and academic transcripts
(4)   Contact details of at least two referees (or letters of recommendation, if already available) 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

The deadline for applications is Sept. 30 2021.

The position will be filled as soon as a suitable candidate is identified. For additional information, kindly contact Prof. Patrick Rinke (firstname.lastname (at) aalto.fi). 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.More about Aalto University:Aalto.fi
twitter.com/aaltouniversity  
facebook.com/aaltouniversity
instagram.com/aaltouniversity

Read the job description at the university homepage

Apply

Full time

R31831

About Us

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 12 000 students, 400 professors and close to 4 000 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.

Post expires on Thursday September 30th, 2021

Doctoral Candidate in Remote Sensing of Peatlands

Otaniemi, Espoo, Finland

Aalto University School of Engineering, Department of Built Environment invites applications for aDOCTORAL CANDIDATE IN REMOTE SENSING OF PEATLANDS

Project description
Aalto Remote Sensing Research Team (https://www.aalto.fi/en/remotesensing), led by prof. Miina Rautiainen, has a vacancy for a doctoral candidate (“PhD student”) to work in a research project related to remote sensing of boreal peatlands. Peatlands spark heated environmental and economic discussions in Finland, and they play a major role in climate change mitigation. The goal of the project is to create a fundamental understanding of how novel satellite remote sensing techniques and in situ spectral measurements can be used to characterize properties of vegetation in different types of boreal peatlands.

Requirements
The candidate must have high motivation and aptitude for research and must enjoy working as part of a team. Applicants should have a master’s degree in remote sensing, geoinformatics, geography, forest sciences, environmental science or a related subject. For this position, applicants are expected to have experience in working with remote sensing and GIS data, and a motivation to conduct field work in peatlands during summer months. Fluent written and verbal communication skills in English are essential. A driver’s license (valid in Finland) is needed during the field campaigns. Knowledge of peatland and/or vegetation ecology or plant systematics are an advantage. Applicants must also fulfil the formal eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified at https://into.aalto.fi/display/endoctoraleng/.

Research environment
The successful applicant will join a young and dynamic team of world-class researchers at Aalto University’s School of Engineering funded by the Academy of Finland and European Research Council. Aalto University is a public research university which was established in 2010 after a merger of three major Finnish universities. It is consistently highly ranked in the areas of science, art, technology and business. The University’s main campus is located in Espoo, approximately 15 minutes by metro from the center of Helsinki. Helsinki is a safe, clean, green capital city with a very high quality of life. Most Finns speak English fluently. More information about living and working in Finland can be found at https://www.aalto.fi/aalto-university/international-staff-information-package.

Salary, terms and conditions
First, the doctoral student will be granted a one- or two-year contract, followed by a formal midterm evaluation. If the midterm evaluation is successful, an extension to the work contract will be made so that the total time for the doctoral studies is four years. The expected starting date is in the first months of 2022.Completing a doctoral degree at Aalto University is expected to take four years. The doctoral degree is granted after successfully completing a set of advanced courses (40 ECTS), writing a doctoral thesis (based on peer-reviewed journal publications) and defending the thesis in a public examination. For this specific position, the doctoral candidate will be expected to conduct field work in (remote) peatland locations in Finland and Estonia, to analyze spectral in situ and satellite data, to present at high-level scientific conferences, to publish in leading academic journals, to participate in the activities of Aalto Remote Sensing Research Team, and to assist prof. Rautiainen in teaching activities (max 5% of working hours).The salary range, terms and conditions are based on a collective bargaining agreement among Finnish universities. The starting salary for doctoral students at Aalto University is currently around 2,600€ per month (gross) which is gradually increased over time depending on performance.

How to apply
All applications must include the following materials:

Motivation letter with the applicant’s contact information and an indication of the preferred starting date (max 1 page)

CV including details of all academic merits (including publications, if applicable), and contact information for 2 persons who may be contacted to provide a character reference (max 3 pages)

An outline of the field work experience of the applicant (max 1 page)

Summary of the applicant’s master’s thesis (max 1 page)

Copy of the applicant’s master’s degree certificate

Copy of the applicant’s master’s degree certificate and a transcript of studies (with a clear explanation of the grading scale)All materials should be submitted in English in a single pdf-file (compiled in the order specified above).

The application should be submitted through our online eRecruitment system (‘Apply’) before 30 September 2021.

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.Applications submitted by email will not be accepted. Aalto University reserves the right to leave the position open, extend the application period and consider candidates who have not applied during the application period.

Further information
Further information about working at Aalto University can be found at https://www.aalto.fi/aalto-university/international-staff-information-package. Content-related questions about the vacancy may be directed via email to Miina Rautiainen (professor, miina.a.rautiainen@aalto.fi) while recruitment-related questions may be directed to Kirsi Kärkkäinen (HR Coordinator, using the email format firstname.lastname@aalto.fi).More about Aalto University:Aalto.fi
twitter.com/aaltouniversity  
facebook.com/aaltouniversity
instagram.com/aaltouniversity

Read the job description at the university homepage

Apply

Full time

R31909

About Us

  • 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 12 000 students, 400 professors and close to 4 000 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.

Post expires on Thursday September 30th, 2021