CRYSTALLINE PhD position - AI-Enabled Fusion of Optical and Acoustic Sensors for Enhanced Non-Destructive Material Characterization (f/m/d)

19 Jan 2024
Job Information

Organisation/Company

Silicon Austria Labs

Department

Human Resources

Research Field

Technology » Remote sensing
Technology » Measurement technology
Computer science » Programming

Researcher Profile

First Stage Researcher (R1)

Country

Austria

Application Deadline

29 Mar 2024 - 23:59 (Europe/Vienna)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38.5

Offer Starting Date

1 Jul 2024

Is the job funded through the EU Research Framework Programme?

HE / MSCA COFUND

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

No

Offer Description

This PhD thesis focuses on advancing non-destructive testing methods for enhanced data acquisition and processing in materials and production processes. 
State-of-the-art optical (including infrared and terahertz radiation) and acoustic (including ultrasound) sensor technologies will be explored to obtain detailed insights without causing harm to materials. 
The integration and combination of innovative signal processing and machine learning methods such as Compressive Sensing, Super-Resolution Imaging, and Deep Neural Networks will be crucial in enhancing data extraction and analysis. 
Acoustic techniques like laser ultrasound and photo acoustics for imaging internal structures will be investigated, while also investigating methods to counteract attenuation, thus enhancing spatial resolution. 
Overall, the goal is to revolutionize the characterization of materials and processes by exploring innovative sensor technologies and advanced signal processing and machine learning methods. 

Working in a team with close links to international academic partners and national industry, you will be responsible for the following tasks:

• Developing machine learning or deep learning based algorithms to analyse arbitrary data, such as image, audio or radar data. 
• Designing experiments to thoroughly evaluate and compare the performance of multiple algorithms, including identifying potential weaknesses. 
• Publish results in peer-reviewed international conferences and journals. 
• Execute and manage industrial projects in collaboration with other team members.

Requirements

Research Field

All

Education Level

Master Degree or equivalent

Skills/Qualifications

Would you like to work in an international team environment at the forefront of future communication systems? Do you have the following skills, education and/or work experience (the more the better)? 
 

• Master's degree in Computer Science or related fields such as Statistics, Mathematics, Mechatronics or Physics. 
• Strong understanding and experience in machine learning, data science and signal processing. 
• Attention to detail and strong analytical and problem-solving skills. 
• Proficiency in Python and ML libraries such as sklearn, Pytorch, Pandas, numpy, etc.. 
• Solid software engineering skills in OOD, OOP, git, and more.
• Excellent written and oral communication skills in English.
• Team player, self-motivated and goal-oriented.
• Enthusiasm for developing new ideas and a positive attitude towards new challenges. 

Languages

ENGLISH

Level

Excellent

Additional Information
Eligibility criteria

In order for a JS candidate to be eligible for CRYSTALLINE, she or he has to comply with the MSCA-COFUND Doctoral Program (DP) eligibility rules, specific CRYSTALLINE application requirements, and with fundamental ethic principles.

The MSCA-COFUND DP rules require
researchers to (i) be doctoral candidates, i.e., not already in possession of a doctoral degree at the call deadline (whereas researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible), and to (ii) meet the MSCA mobility rule, i.e., have not resided and/or carried out their main activity (work, studies, etc.) in Austria for more than 12 months in the 3 years immediately before the call deadline (time spent as part of a procedure for obtaining refugee status under the Geneva Convention is not taken into account).

 

The CRYSTALLINE application requirements are met if an applicant (i) holds a master’s degree in a technical discipline, (ii) provides a complete set of application documents, and (iii) complies with the submission rules for the application documents as laid out at the CRYSTALLINE website.

Work Location(s)

Number of offers available

9

Company/Institute

Silicon Austria Labs GmbH

Country

Austria

Geofield

Where to apply

Website

https://research-network.silicon-austria.com/about-crystalline/

Contact

State/Province

Steiermark

City

Graz

Website

https://silicon-austria-labs.com

Street

Sandgasse 34

Postal Code

8010

E-Mail

[email protected]

STATUS: EXPIRED