Finland Scholarships
Open PhD student fixed-term position
PhD student position in the IoT4Health research group (http://iot4health.utu.fi/ ) at department of Future technologies, University of Turku, Finland. A position is available for a PhD candidate on data/event mining and applied machine learning in the research group of Adj. prof. Rahmani and Prof. Liljeberg at University of Turku, Finland, in an Academy of Finland-supported research project entitled “PREVENT: Preterm Birth Prevention in Everyday Settings”. The position is intended for full-time research including small contributions to university teaching and other supporting tasks.
The project : Preterm birth (PTB) is the most common cause of neonatal deaths. Due to the high rate of PTBs (15M/y), it is extremely beneficial to identify the women at risk at early stage and prevent PTB. Physiological parameters could help us to uncover and model multifactorial processes that lead to PTB. Continuous monitoring of such parameters holds significant promises to successful prevention. Internet of Things (IoT) technologies can be leveraged to create the ability to perform such monitoring throughout pregnancy. In this project, we tackle PTB issues by proposing an IoT platform tailored for PTB prevention for everyday settings. The core contributions are 1) a customized architecture including a set of wearable electronic devices that are feasible for 7-9 months of continuous monitoring, 2) a personalized PTB prevention solution using data and event mining, and artificial intelligence methods, and 3) a comprehensive performance assessment via implementation of this monitoring in clinical trials.
Qualifications: We are looking for outstanding candidates with a high level of independence as well as good collaboration skills and analytical capabilities. An ideal candidate would have a solid background in data mining and applied machine learning, familiarity with programming (e.g. R/Python/Matlab/C++), and ability to work in multidisciplinary environment. Fluent communication skills in English are essential. The doctoral candidate should hold a MSc degree in a relevant field (e.g., computer science, computer engineering, biomedical engineering, IT, or equivalent).
Salary: The salary is in accordance with the University salary system (for teaching and research personnel) levels 2-4, where the work specific salary component is 1985.85-2475.31€/month. In addition, there is a share increase based on the personal performance, which is, at most, 46.3% of the base salary depending on the previous relevant research experience of the candidate.
Application: Applications must be submitted no later than January 14th, 2018 via the electronic application form of the University of Turku. For further information about the position, please contact Adj. prof. Amir M. Rahmani ([email protected] ) or Prof. Pasi Liljeberg ([email protected] ). Contact information and the link to the application system can be found from the University of Turku recruitment page http://www.utu.fi/en/university/come-work-with-us/open-vacancies/Pages/home.aspx
Finland Scholarships
Doctoral and Master Candidate in Material Development for Lithium Ion Batteries
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.
Aalto University School of Chemical Engineering invites applications for
Doctoral and Master Candidate in Material Development for Lithium Ion Batteries
The position is located in the Department of Chemistry and Materials Science, Research Group of Electrochemical Energy Conversion and Storage, see link http://cmat.aalto.fi/en/research_groups/physical_chemistry_electrochemistry/kallio/ .
The Department of Chemistry and Materials Science at Aalto University has strong records in material development for energy applications.
Job description
The StoryEV project is a joint-project between several Finnish companies and German counterparts and is funded by Business Finland. In the project, next generation lithium ion batteries with solid electrolytes are developed. Moreover, the focus is in understanding active material structure – durability relations in lithium ion batteries in general. The Aalto University contribution to this joint-project is electrochemical and structural characterization of the materials and development those together with the collaborators.
Requirements
Successful candidates for the doctoral candidate position shall have MSc degree in Chemistry, Material Science or related field. The ideal candidate has a good knowledge in some or all of the following areas: batteries and their functioning, electrochemistry, inorganic chemistry and structural characterization techniques (SEM, XRD, FTIR, Raman, etc.). For the master candidate similar background in studies is expected. Good command of English is a necessary prerequisite.
Salary
Aalto University follows the salary system of Finnish universities.
For more Information
For additional information, please contact Prof. Tanja Kallio or Dr. Eeva-Leena Rautama (e-mails: [email protected] )
How to apply
The application material should include:
- A letter of motivation
- A complete curriculum vitae describing education and employment history
- Official transcript of records (including the title of the Master’s thesis)
- A letter of recommendation or contact details of possible referee(s)
All material should be submitted in English. The application material will not be returned.
The applications are to be submitted through the eRecruitment system (link below) no later than 30.04.2018.
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.
Finland Scholarships
Master’s thesis position in “Modelling cellulose interactions toward understanding cellulose fiber…
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.
Aalto University School of Chemical Engineering invites applications for
Master’s thesis position in
“Modelling cellulose interactions toward understanding cellulose fiber regeneration”
Cellulose is an abundant, renewable biomaterial with enormous potential in high value applications ranging textiles, medicine, electronics, and advanced purification filters. Cellulose based materials can be ultra-tough, super flexible, very light, or highly adsorbent. The superior characteristics result from hierarchical ordering of single cellulose molecules to fibers. Key steps in engineering cellulose based materials with superior characteristics and processability is the formation and breaking apart of these fibers in solution. This is still lacking some fundamental understanding, which hampers the use of cellulose’s full potential.
At the molecular level, a cellulose molecule is a polymer of glucose: in this Master’s thesis, molecular modelling (molecular dynamics simulations) will be used for studying the interactions and assembly of glucose polymers at molecular level. The work is in tight collaboration with experimentalist and targets elucidating detailed X-ray scattering experiments data that has been collected sequentially during the regeneration of cellulose fibers from solution. The thesis work offers a superior opportunity to learn via a bottom-up (microscopic-to-macroscopic) approach about biopolymer and polysaccharide systems and to gain insight into the production of a novel class of man-made cellulosic fibers. The work is highly important to improve the award-winning fiber spinning process developed at Aalto University.
This thesis project could be for you, if you have 1) interest and motivation to understand macromolecules in solution at molecular level, 2) good grades, 3) think positively of computers and working with them, and 4) like sugar (or polysaccharides). Suitable study backgrounds include, for example, biomaterials, bioinformation technology, chemistry and physics.
Applications should include a cover letter, CV, and a transcript of current study record as pdf and be sent by email. Enquiries and applications by 18th March, 2018, to [email protected] .
Maria Sammalkorpi
Soft Materials Modelling group
Senior Scientist
Department of Chemistry and Materials Science
Aalto University
Assoc. Chemical Engineering,
Yale University, USA
http://cmat.aalto.fi/en/research_groups/computational_chemistry/sammalkorpi/
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.
Finland Scholarships
Master’s thesis position in “Modelling cellulose interactions toward understanding cellulose fiber…
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.
Aalto University School of Chemical Engineering invites applications for
Master’s thesis position in
“Modelling cellulose interactions toward understanding cellulose fiber regeneration”
Cellulose is an abundant, renewable biomaterial with enormous potential in high value applications ranging textiles, medicine, electronics, and advanced purification filters. Cellulose based materials can be ultra-tough, super flexible, very light, or highly adsorbent. The superior characteristics result from hierarchical ordering of single cellulose molecules to fibers. Key steps in engineering cellulose based materials with superior characteristics and processability is the formation and breaking apart of these fibers in solution. This is still lacking some fundamental understanding, which hampers the use of cellulose’s full potential.
At the molecular level, a cellulose molecule is a polymer of glucose: in this Master’s thesis, molecular modelling (molecular dynamics simulations) will be used for studying the interactions and assembly of glucose polymers at molecular level. The work is in tight collaboration with experimentalist and targets elucidating detailed X-ray scattering experiments data that has been collected sequentially during the regeneration of cellulose fibers from solution. The thesis work offers a superior opportunity to learn via a bottom-up (microscopic-to-macroscopic) approach about biopolymer and polysaccharide systems and to gain insight into the production of a novel class of man-made cellulosic fibers. The work is highly important to improve the award-winning fiber spinning process developed at Aalto University.
This thesis project could be for you, if you have 1) interest and motivation to understand macromolecules in solution at molecular level, 2) good grades, 3) think positively of computers and working with them, and 4) like sugar (or polysaccharides). Suitable study backgrounds include, for example, biomaterials, bioinformation technology, chemistry and physics.
Applications should include a cover letter, CV, and a transcript of current study record as pdf and be sent by email. Enquiries and applications by 18th March, 2018, to [email protected] .
Maria Sammalkorpi
Soft Materials Modelling group
Senior Scientist
Department of Chemistry and Materials Science
Aalto University
Assoc. Chemical Engineering,
Yale University, USA
http://cmat.aalto.fi/en/research_groups/computational_chemistry/sammalkorpi/
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.