PhD candidate | Developing a sensor patch for respiratory monitoring in COPD patients

9 Jan 2024
Job Information

Organisation/Company

Maastricht University (UM)

Research Field

Medical sciences

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

21 Jan 2024 - 22:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

38.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

In this role, you will be at the forefront of developing a sensor patch for respiratory monitoring in COPD patients. Imagine having the ability to remotely monitor and manage your respiratory health. This is the future we're creating.

Become a part of the DACIL team, a dynamic consortium dedicated to improving the lives of people with COPD through cutting-edge home-based technologies. Our collaboration extends beyond academia, including partnerships with private entities such as Monitair®.

Responsibilities

Sensor Validation: You will validate the sensor patch to measure breathing frequency, pattern, and variability, both in rest and during activities, for both healthy subjects and COPD patients.

AI Development: You will develop machine learning software to automatically recognize breathing patterns, a key component in our project.

Clinical Trials: You will test and evaluate the sensor patch's accuracy in detecting changes in health status in clinical trials.

Multi-Disciplinary Collaboration: You'll work closely with a multi-disciplinary and multi-institutional team within the DACIL consortium, alongside Radboud University Medical Centre Nijmegen and the University of Twente.

Synergy: This project is closely linked to the SPEAK study, exploring speech analysis as a biomarker for disease deterioration. We aim to synergize both projects for optimal diagnostic results.

As a PhD candidate, your impact will extend to:

• Supporting COPD Patients: Helping people with COPD in their daily lives through technology.
• Translating Innovation: Transforming cutting-edge sensor technology into clinical practice.
• Data-Driven Insights: Using AI to detect changes in health status.
• Clinical Validation: Conducting clinical trials to validate our innovations.
• Field Studies: Exploring how these technologies are used in the home environment.
• Sharing Knowledge: Disseminating insights at national and international congresses and through peer-reviewed publications.

Requirements
Specific Requirements

Job Requirements

• Has a true passion for advancing sensor technology into clinical care.
• Can effectively collaborate with multiple stakeholders.
• Is driven by a sense of purpose to reduce health inequalities.
• Excels in data organization and analysis.
• Possesses excellent networking and relationship-building skills and maintain a strong connection with the people around you.
• Is open to exploring new perspectives and sharing them with enthusiasm.
• Can keep work organized and communicate effectively.
• Thrives on positive interactions
• is proactive and uses creativity to overcome obstacles
• turns to research and collaboration when faced with uncertainty

Academic Background

• MSc degree in technical medicine, biomedical technology, artificial intelligence, or similar (biomedical) degree.
• Experience in biomedical signal analysis and machine learning models.
• Familiarity with the healthcare system, especially related to respiratory diseases.
• Experience in human subject research is a plus.
• Fluency in English and Dutch is preferred, or the willingness to learn Dutch.

Don't miss the opportunity to be part of this transformative project. Apply now and help shape the future of respiratory health. Your passion, skills, and dedication will make a real difference!

Additional Information
Benefits

What we offer

As PhD candidate | Department of Respiratory Medicine | 1.0 FTEat Faculty of Health, Medicine and Life Sciences, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale P according to UFO profile Promovendus, with corresponding salary based on experience ranging from €2770,00 and €3539,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow.
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'.

The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here .

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

Selection process

COMMON_NOT_TRANSLATED

Additional comments

Curious?
Are you interested in this exciting position but still have questions? Feel free to contact Dr Sami Simons, consultant respiratory physician and assistant professor at the Department of Respiratory Medicine, via [email protected] for more information.

Applying?
Or are you already convinced and ready to become our new PhD candidate? Apply now, no later than 21 January, for this position.

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

Website for additional job details

https://www.academictransfer.com/336408/

Work Location(s)

Number of offers available

1

Company/Institute

Maastricht University

Country

Netherlands

City

Maastricht

Postal Code

6229HX

Street

P. Debyelaan 25

Geofield

Where to apply

Website

https://www.academictransfer.com/en/336408/phd-candidate-developing-a-sensor-pa…

Contact

City

Maastricht

Website

http://www.maastrichtuniversity.nl/

Street

Minderbroedersberg 4

Postal Code

6211 LK

STATUS: EXPIRED