Phd Student in Digital Fabrication and Capacitive

vor 2 Wochen

Zurich, Schweiz ETH Zurich Vollzeit

10/02/2023

**Job Information**:
**Organisation/Company**
- ETH Zurich**Research Field**
- Engineering » Electrical engineering- Computer science » Other- Engineering » Other**Researcher Profile**
- First Stage Researcher (R1)**Country**
- Switzerland**Application Deadline**
- 10/03/2023 - 23:59 (UTC)**Type of Contract**
- Permanent**Job Status**
- Part-time**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**:
PhD student in Digital Fabrication and Capacitive Sensing on Curved Surfaces

**Project background**:
We have completed several projects on capacitive sensing, from designing novel sensors to creating novel machine learning-based processing methods for traditional touch detection as well as interactive purposes, such as
- TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images (video, ACM UIST 2021)
- CapContact: Super-resolution Contact Areas from Capacitive Touchscreens (video, ACM CHI 2021)
- Finding Common Ground: A Survey of Capacitive Sensing in Human-Computer Interaction (ACM CHI 2017)
- Duoskin: Rapidly Prototyping On-Skin User Interfaces Using Skin-Friendly Materials (video, ACM ISWC 2016)
- Bodyprint: Biometric User Identification on Mobile Devices Using the Capacitive Touchscreen to Scan Body Parts (video, ACM CHI 2015)

**Job description**:
You should have a background in Computer Science, Electrical Engineering, Robotics, Bioengineering, or Mechanical Engineering. Most importantly, you should have experience in:

- ** digital fabrication** or **3D graphics**, including experience with
- geometric modeling, discrete curvature, and geometry processing
- fabrication using laser cutting and 3D printing
- experience with 3D graphics programming is beneficial
- work with **capacitive sensing**
- familiarity with common configurations of capacitive sensors
- ideally should have experience in signal processing related to capacitive sensors, including event detection, noise suppression, etc.
- ** electronics** (ideally)
- comprehend, process, and evaluate hardware datasheets and schematics
- design PCB layouts using ECAD tools (use of simulation tools is beneficial though not required)
- assemble prototypes (soldering, component assembly, deployment)
- optional: experience with machine learning basics and
- an understanding of underlying deep learning and machine learning concepts
- experience in common toolkits, e.g., TensorFlow, PyTorch

If available, you should include a link to their portfolio, such as
- a website showing past projects (example1, example2) or
- link to a Github profile, blog, etc.

**Your profile**:

- an **excellent master's degree** (M.Sc., M.Eng. or equivalent) in Electrical Engineering, Computer Science, Robotics, or closely related
- written and spoken fluency in English
- demonstrated experience **working with digital fabrication**:

- experience implementing research prototypes
- strong interpersonal and communication skills

Prior experience in conducting research and experiments using human-centered approaches in the fields of HCI, machine learning, or applied computer vision are a plus.

**We offer**:
We offer an exciting and stimulating environment to study and work in. In the SIPLAB at ETH Zürich, we are an international and cross-disciplinary research group working across computational interaction, physical computing, applied computer vision, wearable sensing, and mobile health. We bring together skills and experience from Computer Science, Electrical Engineering, Robotics, Mechanical Engineering, and Biomedical Engineering. We are part of the Department of Computer Science and affiliated with the Department of Information Technology and Electrical Engineering and collaborate with several other research groups, which are internationally recognized in computer graphics, fabrication, sensing systems, and machine learning. We also collaborate with several other institutions and companies in Switzerland and abroad. We publish our research at the top venues in technical Human-Computer Interaction, Ubiquitous Computing, Graphics, and Computer Vision.

For an overview of our projects, learn more about:

- TEAM SIPLAB
- Christian Holz
- More details on joining us

Working, teaching and research at ETH Zurich

**We value diversity**:

- In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

**Curious? So are we.**:

- a (short) motivation letter **specific to this position**:

- curriculum vitae
- school and university score records
- contact details

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