CIC nanoGUNE: Post-doctoral Researcher in Data Analysis and Machine Learning for Spectroscopic Data

Updated: 13 days ago
Job Type: FullTime
Deadline: 31 May 2024

10 May 2024
Job Information
Organisation/Company

CIC nanoGUNE
Department

Nanoengineering
Research Field

All
Researcher Profile

Recognised Researcher (R2)
Country

Spain
Application Deadline

31 May 2024 - 23:59 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

40
Offer Starting Date

17 Jun 2024
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

The aim of the research project is to identify intrapartum physiological risks such as perinatal asphyxia. A particular focus is on data analysis using chemometric methods, the simulation of data, and the transfer of knowledge gained to hardware components. An understanding of biocompatibility and regulatory matters is a great advantage for the position.

Important tasks of the work plan
• Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods.
• Simulations and modification of data, advanced data analysis
• Carrying out Raman measurements in vitro and in vivo
• Hardware/software interface: communication with devices such as lasers and spectrometers

The successful candidate will preferably have a PhD in Physics, Chemometrics, Informatics, Chemistry, or related Engineering field and experience in the following skills:
• Machine learning and data analysis based on Chemometrics
• Laboratory experience
• Experience with Python and its main libraries for machine learning
• Ability to create graphical user interfaces
• Fluent in written and spoken English, knowledge of Spanish is desirable, knowledge of Basque is valuable

Although not compulsory, the following points will be considered:
• Knowledge in optics, photonics, spectroscopic techniques
• Biomedical engineering
• Experience in modeling languages (Simulink, Labview, Open Modelica...) and HIL tools (dSpace, Speadgoat, National Instruments ...)
• Experience with interdisciplinary research
• Self-motivated and able to work in a team, coordination of research work

We promote teamwork in a diverse and inclusive environment and welcome all kinds of applicants regardless of age, disability, gender, nationality, race, religion, or sexual orientation.
Earliest starting date for this position is the 17th of June, 2024, for a total duration of up to 24 months. After this period, the candidate may strategically be transferred to a spin-off company working in the field of perinatal monitoring.

Candidates should apply by completing the form below and attaching the following documents:
A complete CV, motivation letter, certificates and 2 reference contacts, all grouped in a single PDF file.

Application form: https://www.nanogune.eu/en/nanogune/join-us/open-position/417-post-doct…

Deadline for applications is the 31st of May, 2024.


Requirements
Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
CIC nanoGUNE
Country
Spain
State/Province
Gipuzkoa
City
Donostia-San Sebastián
Postal Code
E-20018
Street
Tolosa Hiribidea, 76
Geofield


Contact
State/Province

Guipuzcoa
City

Donostia - San Sebastian
Website

https://www.nanogune.eu/en/nanogune/join-us/open-position/417-post-doctoral-researcher-data-analysis-machine-learning-spectroscopic-data
Street

Tolosa Hiribidea, 76
Postal Code

E-20018
E-Mail

[email protected]
Phone

+34943574000

STATUS: EXPIRED

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