Data Scientist
Artificial Intelligence, Machine Learning and Deep Learning
Full-time · Rotterdam
Artificial Intelligence, Machine Learning and Deep Learning
The leading techniques in Scanning Probe Microscopy (SPM) and Atomic Force Microscopy (AFM) have enabled the investigation of surfaces and adsorbates on surfaces with atomic precision for a wide range of materials. AFM measures the interaction force between the tip and the substrate.
The AFM images show a geometric dilation due to tip size, which is furthermore evident in the presence of features with a high aspect ratio (HAR), and typically causes an overestimation of the external lateral dimensions of columns or steps and an underestimation of the internal ones in narrow grooves or valleys. Evidence of this geometric dilation is given in the AFM images of the complex shape represent one of the main sources of error in their 3D AFM reconstruction. The methodologies for the correction of this error are essentially based on the a priori characterization of the tip with reference samples and on blind reconstruction methods and algorithms.
Many automatic image processing algorithms have been developed to provide much more accurate measurement of dimensions and tip effects from the microscopy images.
You will develop and use artificial intelligent, deep learning and machine learning techniques to enhance image quality, extract accurate dimensions from the microscopy images and estimate the tip shape effect on the measurement quality.
You will be part of our Research & Development team of about 10 R&D Engineers. Together with your team you improve our current products and develop relevant new solutions and technologies by working closely with Product Marketing, Engineering and Operations, all driven by our customer needs. Every one of our talented R&D engineers is committed to solve the challenge and unmet need of our customers.
The R&D team’s primary focus will be the development of the next generation product and the technologies. Aim of the R&D team will be to bring the product development to a FUMO (functional model) or prototype status and then subsequently work with the engineering teams to release the product for volume manufacturing.
You manage the organization of your team to ensure technical, schedule and budget compliance of the projects you are involved in, supporting proper follow-up and decision-making.
As an enthusiastic and result driven Data Scientist, you will:
• You would like to work on unique combination of extreme complexity and very big data.
• You are curious to link data to actionable insights, aiming at new product offerings or improve the capabilities, performance and efficiency of existing products.
• You enjoy having a career with broad responsibility and ownership, instead of a job with narrow and pre-defined tasks.
• You are a Masters/PhD graduate with educational background in Physics, Chemistry, Material science, Mechatronics or Mechanical engineering;
• You have experience with Machine Learning, Deep Learning and Artificial Intelligence and application to metrology, mechatronic systems;
• You have experience in multidisciplinary project work involving mechatronics, optics, electronics and software;
• You have a strong background in mathematics.
Getting on board now is a great opportunity to grow with the company from a technical, personal, and financial perspective. Nearfield's momentum is energetic and promising!
Our starting point is of course to pay someone a fair and competitive salary and besides this we offer you:
• we value your work-life balance;
• time for some relaxation: 240 hours of holiday per calendar year (on 40 hours);
• 8% of your annual salary (gross) holiday allowance;
• Commuting allowance;
• Work from home allowance;
• Discount on your health insurance;
• We are here to support one another, and colleagues are there to help you. TEAM is very important, Together Everyone Achieves More!
• Besides a challenging role where you can utilize the full extent of your professional knowledge.
If the above challenges excites you, we encourage you to send us your details using the Apply now button on our career site.
Our recruitment process:
• Screening by Recruiter
• 1st interview
• 2nd interview
• Meeting our CEO
• Offer
• Onboarding and welcome at Nearfield Instruments!
If you have any questions? Feel free to contact me via:
Martien Hermens - Recruiter
+31(0)638214839
Martien.hermens@nearfieldinstruments.com
Recruitment, consultancy and/or other agency?
We appreciate the interest, but we source all our candidates directly. We understand that you as an intermediary want to present candidates to our interesting positions. This is not how we have structured our recruitment.
This means that all profiles offered to Nearfield Instruments will be treated as direct applications. Unless we have explicitly agreed otherwise.
Do you want to join our team as our new Data Scientist? Then we'd love to hear about you!