Masterand R&D Control Engineering (m/f/d)

Novanta Inc.; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading company in medical technology seeks a Masterand for R&D Control Engineering. This role focuses on developing calibration algorithms for Minimally Invasive Surgery equipment. Candidates should have strong technical skills in Matlab/Simulink and practical experience with test rigs.

Qualifikationen

• Enrolled in a Master's degree program in a relevant field.
• Very good skills in Matlab/Simulink.
• Experience with dSpace or Speedgoat tools.

Aufgaben

• Conduct problem analysis for various operating conditions.
• Design and implement a continuous safety check.
• Setup and operate test rigs for algorithm testing.

Kenntnisse

Matlab

Simulink

Test rig operation

Problem-solving

Communication

Ausbildung

Master’s degree in mechanical engineering or control engineering

Tools

dSpace

Speedgoat

Jobbeschreibung

Masterand R&D Control Engineering (m/f/d)

Join to apply for the Masterand R&D Control Engineering (m/f/d) role at Novanta Inc.

Continue with Google Continue with Google

Masterand R&D Control Engineering (m/f/d)

1 month ago Be among the first 25 applicants

Join to apply for the Masterand R&D Control Engineering (m/f/d) role at Novanta Inc.

Build a career powered by innovations that matter! At Novanta, our innovations power technology products that are transforming healthcare and advanced manufacturing—improving productivity, enhancing people’s lives and redefining what’s possible. We create for our global customers engineered components and sub-systems that deliver extreme precision and performance for a range of mission-critical applications—from minimally invasive surgery to robotics to 3D metal printing.

Novanta is one global team with over 26 offices located in The Americas, Europe and Asia-Pacific. Looking for a great place to work? You have found it with a culture that embraces teamwork, collaboration and empowerment. Come explore Novanta.

This position is part of Novanta’s Advanced Surgery business unit; specialized in the field of Minimally Invasive Medicine. Minimally Invasive Surgery (MIS) is a major advancement in medical technology that uses small incisions and specialized tools with cameras, instead of traditional open surgery. This technique significantly improves patient recovery due to smaller wounds. To ensure clear visibility and access during surgery, the body cavity is inflated using pumps (with saline) or insufflators (with CO₂), raising the internal pressure above ambient levels. Modern devices use Intelligent Pressure Monitoring (IPM) to precisely control this pressure. A key component of IPM is a calibration algorithm that adapts to the surgical setup.

One Part Of IPM Is a Calibration Algorithm That Identifies The Characteristics Of The Setup. However, This Calibration Algorithm Has Some Inherent Challenges

• User changes / manipulates the setup during operation and thus changes its characteristics
• Calibration algorithm delivered an inaccurate result
  
  

To address the challenges associated with the calibration algorithm, a continuous safety check is proposed to run during operation. This safety check aims to verify the plausibility of the calibration algorithm's outcomes by actively exciting the system during operation. In the event of an implausible result, the continuous safety check will take necessary actions to ensure the proper functioning of the IPM, thereby safeguarding patient safety.

Modelbased Continuous Safety Check for Pumps in MIS

The following tasks shall be completed within the thesis

• Problem analysis for a variety of operating conditions
• Definition of test scenarios that cover the operating conditions
• Design and implementation of a continuous safety check
• Verification of continuous safety check on the test scenarios
  
  

As part of the tasks, the student will

• set up a test rig for problem analysis, implementation and testing of the algorithm
• use Matlab / Simulink and dSpace or Speedgoat to implement and test the algorithm
  
  

Ideal Experience, Education & Skills

• Enrolled student on a Master’s degree in mechanical engineering, control engineering, electrical engineering, etc.
• Very good Matlab /Simulink skills
• Experienced in either dSpace or Speedgoat
• Practical experience in operating test rigs and conducting measurement campaigns
• Structured and systematic way of working
• High sense for self-reliant problem-solving
• Good communication skills
  
  

#Berlin

Novanta is proud to be an equal employment opportunity and affirmative action workplace. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, military and veteran status, disability, genetics, or any other category protected by federal law or Novanta policy.

Please call [phone] if you need a disability accommodation for any part of the employment process.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Education and Training

• Industries

  Appliances, Electrical, and Electronics Manufacturing

Referrals increase your chances of interviewing at Novanta Inc. by 2x

Get notified about new Masters Student jobs in Berlin, Berlin, Germany.

Masterarbeit am IZW & ÖAW/ Master thesis at IZW & ÖAW

Master student (f/m/d) Development of an AI-based system for information aggregation in the hydrogen business

MASTERAND / MASTERSTUDENT (M/W/D) CORPORATE SOCIAL RESPONSIBILITY / VOLUNTEERING / ENGAGEMENT MIT ATTRAKTIVEM FESTGEHALT

Oranienburg, Brandenburg, Germany 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.