PhD Position in Sensor Technology for Model Learning and as Robust in Situ Data Source from Patients
1 day left
- Full Time
This position is one of six available PhD positons linked to the project:
A Digital Twin for Essential Hypertension Management and Treatment - My Medical Digital Twin (MyMDT)
All the six successful PhD candidates linked to this project are expected to work and collaborate closely through the duration of the project. Sharing knowledge, experience and research is the key to a successful result.
Two positions relating to this project are available at the Faculty of Medicine and Health Sciences, (Intervention strategies for hypertensives based on medical digital twins and Hypertension plasticity in response to physical activity), two positions are available at the Faculty of Information Technology and Electrical Engineering (Physics-informed Statistical Machine Learning for sensor-acquired big data) and the last two positions are available at the Faculty of Engineering (Robust cardiovascular models using minimal data sets for prediction of hypertension and Sensor technology for model learning and as robust in situ data source from patients).
The candidate is expected to start in the autumn 2018.
Department and Research Group
This PhD position is linked to the Department of Mechanical and Industrial Engineering. For more information about the department, see https://www.ntnu.edu/mtp. The positions are within TrollLABS, under supervision of Professor Martin Seinert. We aim to explore, build and test various senor setups to generate the best possible data foundation for the physics informed heart simulation.
We aim to explore various principles and sensor setups for empirical data gathering as model input, both for short term controlled experiment and long-term in-situ patient environment. This part of the project builds on existing equipment and skills in our laboratory at IV faculty (EEG, ECG, fNIRS, ULB Radar, Video/Color analysis, mechatronics and MEMS lab and prototyping machinery) and Troll LABS Medical at MTFS/St. Olavs, and allows us to design, build and test sensor principles fast and iteratively in close collaboration with the other PhDs involved in MyMDT. We will leverage on existing relations with hardware manufacturers such as Suunto Oy (wearables) and Xethru/Novelda (ultra low power radar) and cooperation with leading global initiatives such as the Pervasive Wellbeing Technology Lab at Stanford University.
Requirements of the applicant:
- Master’s degree in an Engineering discipline like Mechanical Engineering, Computer Sciences, Electrical Engineering, and Cybernetics Engineering. Students in their final stage of completing their degree are also invited to apply.
- Having done courses and projects at NTNU´s TrollLABS, Stanford/global ME310 or Aalto/global Design Factory or equivalent maker and prototyping sites.
- Knowledge rapid prototyping (CAD, laser/water jet cutting, CNC milling incl. PCBs, 3D printing, casting, materials etc.) and fast ideation, design thinking and conducting experiments, some programming and mechatronics skills (Arduino, Raspberry pies, sensors)
- High communication skills and ability to present in a clear and structured manner
- Excellent knowledge in English, both orally and in writing
- Be highly motivated with a good grade average (minimum overall grade B of the master study, corresponding to 120 credits).
Emphasis will also be placed on
- Experience in any of the other PhD topics linked to this project.
- Personal motivation and proven ability to work independently and in team, as well as potential as a researcher.
- Experience in sensor prototyping and developing.
- Interdisciplinary collaboration in an early stage of the research career.
- Excellent team and lab
- International collaboration with Stanford University
The Faculty of Engineering wants to attract outstanding and creative candidates who can contribute to our ongoing research activities. A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. If necessary, we will adapt the workplace for people with disabilities.
More information regarding moving to Trondheim, Norway, and working at NTNU: http://www.ntnu.edu/nirs
Terms of employment
The appointment of the PhD candidate will be made according to Norwegian guidelines for universities and university colleges and to the general regulations regarding university employees. Applicants must agree to participate in organized doctoral study programs within the period of the appointment and have to be qualified for the PhD-study.
NTNU’s personnel policy objective is that the staff must reflect the composition of the population to the greatest possible extent.
PhD Candidates are remunerated in code 1017, and are normally remunerated at gross NOK 436 900 before tax. There will be a 2 % deduction to the Norwegian Public Service Pension Fund from gross wage.
Engagement as a PhD Candidate is done in accordance with “Regulation concerning terms and conditions of employment for the posts of post-doctoral research fellow, research fellow, research assistant and resident”, given by the Ministry of Education and Research of 19.07.2010. The goal of the positions is to obtain a PhD degree. Applicants will engage in an organized PhD training program, and appointment requires approval of the applicants qualifications plan for a PhD study within three months from the date of commencement.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants. The positions adhere to the Norwegian Government's policy of balanced ethnicity, age and gender. Women are encouraged to apply.
The position is of 4 years duration, of which 25% duty work.
Master students finishing in June 2018 may apply.
Place of work is at NTNU in Trondheim, Norway.
Information about the Department and the Doctoral Program
Information abouth The Department of Mechanical and Industrial Engineering is available at: https://www.ntnu.edu/mtp
Detailed information about our PhD programs is found at: https://www.ntnu.edu/iv/doctoral-programme
How to apply
Applicants are asked to apply via the website jobbnorge.no. Applications submitted elsewhere will not be considered. The application should contain the following attachments:
- A cover letter describing why you are an excellent candidate for this position (single page, no formatting requirements).
- CV (Relevant work experience, technical expertise, list of publications, if any).
- Certificates and diplomas (see “Requirements” above)
- Short statement from a former supervisor/teacher.
- Contact information for two references.
- If the applicant has not yet submitted his/her MSc thesis, he/she should instead include a short description of the project, its current status and main findings.
- Any other document you consider relevant.
Chosen applicants will be invited for an interview.
Candidates from universities outside Norway are kindly requested to send a Diploma Supplement or a similar document, which describes in detail the study and grade system and the rights for further studies associated with the obtained degree: http://ec.europa.eu/education/tools/diploma-supplement_en.htm
Candidates from non-English speaking countries outside the Nordic countries must provide official documentation of their English competence. Approved tests are TOEFL, IELTS and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). The following results are required: TOEFL: 600 / writing 4.5 (paper-based test), 92 / writing 22 (internet- based test) IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted) CAE/CPE: grade B or A.>
Incomplete applications will not be taken into consideration.
The reference number of the position is: SO IV-148/18
Application deadline: 27.05.2018
For further information about the position, please contact:
Professor Martin Steinert, Department of Mechanical and Industrial Engineering, NTNU, email: firstname.lastname@example.org
Please note that under the Norwegian Civil Service Act, information about applicants may be made public even though the applicant has requested not to be included on the list of applicants.
Please note that applications will be assessed based on the information submitted at this page. It is the applicant's responsibility to ensure that all relevant attachments are submitted by the deadline.
About this job
- Deadline Sunday, May 27, 2018
- Employer NTNU - Norwegian University of Science and Technology
- Municipality Trondheim
- Place of service Dep. of Mechanical and Industrial Engineering
- Jobbnorge ID 151416
- Internal ID 2018/11590
- Scope Fulltime
- Duration Temporary
- Applications on this job are registered in an electronic form on jobbnorge.no
- You must complete: Standard CV
- Please refer to where you first saw this job advertised!