Tag-arkiv: Aalto University

Four doctoral candidates at the Department of Art

The Department of Art is looking for Four Doctoral Candidates.

The positions are fixed-term and will be filled for 4 months. The starting date is 1st of February 2019.

This position is for doctoral students who study through the Department of Art, to support the final stages of their dissertation preparation, for pre-examination. The position duties are working full-time on the dissertation, so that within, but not later than, the end of the four month work period, the Head of Research in the Department of Art will make a proposal to the Doctoral Programme Committee confirming that the dissertation is ready to be submitted for pre-examination. The progress of the dissertation will be checked after two months (in April 2019) and the work contract is continued only if the dissertation has been progressing as planned.

Salary

The salary is 2600€ per month. Aalto University follows the salary system of Finnish universities.

How to apply

Please apply through Aalto University eRecruitment system. Applications for the position require:

  1. Written statement from applicant that includes overview of the research, schedule and time-line for completion. This must include a written statement declaring that the applicant understands their dissertation will be ready to be submitted for pre-examination within the six month work period.
  2. Full CV from applicant
  3. Most recent academic transcript from Aalto University

Letters of recommendation from the supervising professor and advisor(s) will be sent to HR Coordinator Elina Säkki-Anttila elina.sakki@aalto.fi

  1. Letter of Support from the Supervising Professor including a statement confirming their confidence that full-time work on the dissertation will allow the applicant to be ready to submit the dissertation for pre-examination within six months.
  2. Letter(s) of Support from the Advisor or Advisors including a statement confirming their confidence that full-time work on the dissertation will allow the applicant to be ready to submit the dissertation for pre-examination within six months

All materials are to be in English. An interview or participation in an information session may be required, and will determined by the committee.

The applications for the positions are to be submitted through the eRecruitment system no later than on 15th of December, 2018.

 

For additional information, please contact Professor Mira Kallio-Tavin, email. mira.kallio-tavin@aalto.fi.

 

Interested?

Post expires on Sunday December 16th, 2018

Postdoctoral Researcher position in Speech Processing

Aalto University, Department of Signal Processing and Acoustics (Finland) invites applications for 

Postdoc position in Speech Processing  

The Department of Signal Processing and Acoustics is a part of School of Electrical Engineering at Aalto University (Finland). The department consists of four main research areas. The speech communication technology research group (led by Prof. Paavo Alku) works on interdisciplinary topics aiming at describing, explaining and reproducing communication by speech. The main topics of our research are speech production, particularly glottal source analysis, speech parameterization, speaking style conversion, and statistical parametric speech synthesis.

We are currently looking for a postdoc to join our research team to work on the team’s research themes. We are particularly interested in candidates with research interest in paralinguistic speech processing, especially related to human health, and in candidates with a background in machine learning -based acoustic-to-acoustic conversion (e.g. voice conversion). We also welcome strong candidates from other areas but previous experience in speech technology research is a must.

Postdoc: 2 years. Starting date: January-May 2019

In Helsinki you will join the innovative international computational data analysis and ICT community. Among European cities, Helsinki is special in being clean, safe, Scandinavian, and close to nature, in short, having a high standard of living. English is spoken everywhere. See, e.g. http://www.visitfinland.com/ 

Requirements
The position requires doctoral degree in speech technology, computer science, signal processing or other relevant area, skills for doing excellent research in a group, and outstanding research experience in any of the research themes mentioned above. The candidate should have a strong background in machine learning and/or signal processing and previous experience in speech research. The candidate is expected to perform high-quality research and assist in supervising PhD students.

How to apply
If you are interested in this opportunity, apply by submitting the following documents in English and in electrical form (use the pdf format only!) by December 31, 2018. Send your application, CV, a transcript of academic records and references directly by email to Professor Paavo Alku. Please insert the subject line “Aalto postdoc recruitment, 2018”.

Additional information
Paavo Alku, paavo.alku@aalto.fi

Interested?

Post expires on Monday December 31st, 2018

Doctoral Candidate in Photonics

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 11 000 students and a staff of more than 4000, of which 400 are professors. Our campuses are located in Espoo and Helsinki, Finland.

The School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. The School is an international unit with close to 60 professors and 2 000 full-time students, including over 200 doctoral students.

We are now looking for a talented and highly motivated

Doctoral Candidate in Photonics

Your goal will be to study optical properties of various nanomaterials, such as plasmonic nanoparticles, one-dimensional materials (e.g. carbon nanotubes, nanowires), two-dimensional layered materials (e.g. transition metal dichalcogenides), and their heterostructures for various photonic and optoelectronic applications. You’ll get to conduct high quality research independently, and to work as an active member of the Photonics research group by taking part in project management duties and guiding M.Sc. students.

Research group
This research position will be supported by the Photonics group, led by Professor Zhipei Sun. The group mainly focuses on the study of physical properties of various nanomaterials (e.g. carbon nanotubes, nanowires, 2D materials) for photonics and optoelectronic applications. The group belongs to the Department of Electronics and Nanoengineering at the School of Electrical Engineering, and is located in the Micronova Nanofabrication Center, the largest academic clean room facility in the Northern Europe. Details of the research publications can be found via this link.

Your experience and skills
•    Master degree in physics, nanotechnology, or related topics is favorable for the position
•    Good command of English is necessary (please see the language requirements for Doctoral programme).

Salary and contract terms
The Doctoral Candidate position will be filled for 1–4 years. The expected starting salary is approximately 2440 €/month, and will increase according to performance over time. The contract includes occupational health benefits, holiday bonus, and Finland has a comprehensive social security system. Preferable starting time is before summer 2019, but can be also negotiable.

More information
If you wish to hear more about the position, please contact Professor Professor Zhipei Sun, zhipei.sun(at)aalto.fi. In recruitment process relating questions, please contact HR Coordinator Annika Salmelin, annika.salmelin(at)aalto.fi.

Ready to apply?
Please submit your application through our recruiting system by using “Apply for this job” link below. Include the following documents in English 1) Application letter, 2) CV (with the list of publications if you have), 3) Course transcripts of Bachelor and Master degree with grades, 4) Research Statement describing your Master thesis project (and your research plan if you have), 5) English language test (if you have), 6) References. Application period closes on January 31, 2019 but we will start reviewing candidates immediately. Applications will be considered until the position is filled.

About Aalto University, Campus and Finland
The School of Electrical Engineering is located at the Aalto University Otaniemi campus in the Helsinki metropolitan area, Finland. As a living and work environment, Finland consistently ranks high in quality-of-life. For more information about living in Finland please visit our “Welcome to Finland” pages.

Interested?

Post expires on Thursday January 31st, 2019

Postdoctoral Researcher in machine learning for inferring chemical toxicity

We are looking for a postdoctoral researcher with expertise in machine learning to work on an exciting collaboration project between Prof. S. Kaski’s team in Finnish Center for Artificial Intelligence FCAI at Aalto University and Janssen Pharmaceutica. The exciting research problem is to learn to infer toxicity of chemicals based on the chemical structure, and the great opportunity is that we have unique data for the learning. This is an outstanding opportunity to both develop new probabilistic machine learning methods and to gain necessary skills to place yourself for success both in the pharmaceutical industry as well as in academia. Janssen Pharmaceutica and FCAI support and expect publication of the outcome of this work in top peer-reviewed journals and scientific conferences.

The successful candidate will be employed by Aalto University and work in Otaniemi campus (Helsinki, Finland) for the 1st year of the 2-year contract. During the 2nd year, the work will be performed at Janssen Pharmaceutica premises in Beerse, Belgium (about a 30-minute drive east of the main Belgian port city of Antwerp).

ABOUT US
The brand Janssen (referring to Dr. Paul Janssen, founder of Janssen Pharmaceutica) unites all pharmaceutical companies under the umbrella of Johnson and Johnson, one of the biggest health care companies in the world. Over the last few years, Janssen has invested substantially in virtualizing part of the research process by introducing large scale machine learning to leverage the extensive datasets accessible to the company: chemical descriptions and biological activity annotations for millions of compounds across thousands of assays, and information rich but hard-to-interpret compound documentation like microscopy images or transcriptomics profiles at fully industrial scale.

The Beerse site, where the successful candidate will work for the second year of this postdoctoral position, has been pivotal in this move. For instance, it has initiated more than half a dozen active collaborative research projects across Europe, involving satellite European sites where helpful.

Finnish Center for Artificial Intelligence FCAI is an initiative of Aalto University and the University of Helsinki towards the next generation of AI that is interactive, dependable and data-efficient, partnering with companies and the public sector. For more information, see http://fcai.fi

Aalto University is located in Otaniemi, within the Helsinki Metropolitan area, which forms a world-class information technology hub, attracting leading scientists and researchers in various fields of ICT and related disciplines. Moreover, as the birth place of Linux, and the home base of Nokia/Alcatel-Lucent/Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe) and numerous other technologies and innovations, Helsinki is fast becoming one of the leading technology startup hubs in Europe. As a living and working environment, Finland consistently ranks high in quality of life, and Helsinki, the capital of Finland, is regularly ranked as one of the most livable cities in the world.

QUALIFICATIONS

  • PhD in Computer Science, Statistics, Data Science or a related quantitative field. Experience of interaction with research chemists or biologists in an academic or industrial setting is a plus.
  • demonstrated experience in developing, refining and deploying state-of-the-art machine learning approaches
  • experience with deployment in the cloud and/or at HPC facilities is a definite plus
  • excellent communication, reporting and team interaction skills, self-motivation, proactivity and the ability to work independently

COMPENSATION AND CONTRACT TERMS
The salary for a postdoctoral researcher starts typically from 3 500  EUR per month and increases based on experience. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. In addition, reasonable costs directly associated with the two-site collaboration will be covered.

HOW TO APPLY

  • A letter of motivation describing the applicant’s previous research experience and future research interests (max one page)
  • CV
  • List of publications
  • Contact details of at least 2 senior academics available to provide references
  • A transcript of the doctoral studies and degree certificate of the PhD degree

All material should be submitted in English. Short-listed candidates may be invited for an interview in Helsinki or for an interview conducted via Skype. We will start reviewing the applications immediately, and the call will remain open until the right candidate is found.

FURTHER INFORMATION

  • Research related information: Samuel Kaski (firstname.lastname@aalto.fi)
  • Application process, practical arrangements: Akseli Kohtamaki (firstname.lastname@aalto.fi)

ABOUT AALTO
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 University has six schools with nearly 11 000 students and nearly 400 professors. Our campuses are located in Espoo and Helsinki, Finland.

LIVING UP TO OUR VALUES
As a community of high ethics we want to assure the highest international standard in research, education and teaching. We expect all our community members to respect Aalto values and follow the ethical principles of fair play and integrity in all our activities and the behaviour that we expect from each other. The Aalto University Code of Conduct is applicable to all Aalto community members and it clarifies the values that guide us.

Post expires on Monday December 31st, 2018

Doctoral Candidate in Computational Mechanics

 

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 University has six schools with nearly 20 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.

Aalto University School of Engineering invites applications for DOCTORAL CANDIDATE IN COMPUTATIONAL MECHANICS 

We are looking for a doctoral student to work on numerical modelling of fragmentation of quasi-brittle materials. In more detail, you will study breakage and fragmentation of ice blocks. These phenomena occur under compressive loads in ice block to ice block contacts. The fragmentation process is complicated, and requires novel numerical modelling techniques. Modelling may need to be done on different scales, which may have to reach from very high resolution modeling to simplified contact models on larger scale. Even if the first application of the research is in sea ice, the research relates to other fields that include material fragmentation and fracture, and/or quasi-brittle materials.

As part of your research, you will participate in development of an in-house code for modelling the fragmentation problem. Our current code is an explicit particle-based simulation code (discrete element method). we are open and flexible with the changes on modelling approaches if needed: the focus of this fragmentation study is in complex problem including a multi-fracturing, but initially solid material, and we look for the best solution.

You will be working as part of the Arctic Marine and Ice Technology group of the Department of Mechanical Engineering. A central part of our research is numerical modelling accompanied by novel experiments, which are both conducted to study the sea ice failure processes, and ice fracture and fragmentation. As part of the research, you will also attend in performing unique experiments to validate the results of the numerical modelling. For the experimental work, you will get support from our group and other researchers with experience on experimentation on ice.

Requirements 

The call is open for candidates with a wide range of backgrounds. Most importantly, high level of interest and motivation towards, and deep understanding on, solid and computational mechanics is required. The background may come from applied or computational mechanics, material modelling, mechanical, marine or civil engineering, engineering physics, computer sciences, or other disciplines related to computational mechanics. Prior experience on working with Matlab, C, C++, Python or Fortran on mechanics is considered a plus. Experience on sea ice is not required. The applicant for the position must have a Master’s degree when starting the work (if you are soon finishing you Master’s and want to apply, send us an email), and must fulfill the requirements for doctoral students at the Aalto University School of Engineering (see https://into.aalto.fi/display/endoctoraleng/Admission+requirements)

Employment 

The position is at the Department of Mechanical Engineering and may include some work as a teaching assistant in our courses. The expected duration of doctoral studies is four years, but a contract is first made for one year, and the extension is subject to advance of studies and research. The salary is according to the salary system of Aalto University.

How to apply for a doctoral candidate position 

The application material includes
1. Motivation letter (maximum one A4 page, important: provide clear, but honest, evidence of your skills related to the job description and requirements above) 2. CV and other proof of scientific activity (publications, conference papers etc.)
3. A certified copy of master´s degree certificate and official transcript of records, and their translations, if the originals are not in Finnish, Swedish or English 4. An English abstract or summary the MSc thesis
5. Any other supporting documents, like recommendation letters
6. Proof of proficiency in Finnish, Swedish or English if the applicant is not a native speaker of them (see https://into.aalto.fi/display/endoctoraleng/Application+instructions#Applicationinstructions-LanguagerequirementsLanguagerequirements)

All material should be submitted in English.

Applications with attachments (in pdf-format) are to be submitted no later than 31st of December 2017 through the link “Apply for this job” below. The position will be fulfilled as soon as a suitable candidate is found.

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

Further information 

For additional information, please contact Assistant Professor Arttu Polojärvi (email: firstname.lastname@aalto.fi).

Living up to our values  

As a community of high ethics we want to assure the highest international standard in research, education and teaching. We expect all our community members to respect Aalto values and follow the ethical principles of fair play and integrity in all our activities and the behaviour that we expect from each other. The Aalto University Code of Conduct is applicable to all Aalto community members and it clarifies the values that guide us.

Post expires on Monday December 31st, 2018