CIC nanoGUNE: Post-doctoral Researcher on Multiparametric data analysis for photonic data | (HP-601)

Offer Description

Important tasks of the work plan:

1. Development of machine learning/deep learning models for classification and regression of photonic data, applying chemometric methods
2. Quantification of sensing performance
3. Development of data augmentation methods for spectral data
4. Transfer of in silico code to on-chip Boolean computing (in collaboration with partner)
5. Optimization of data fusion techniques
6. Project management

The successful candidate will preferably have a PhD in Physics, Chemometrics, Mathematics, Informatics, or related Engineering field and experience in the following skills:

1. Machine learning and data analysis based on Chemometrics
2. Deep learning
3. Photonic methods and data
4. Python and its main libraries for machine learning
5. Project management
6. Fluent in written and spoken English

Although not compulsory, the following points will be considered:

1. Knowledge in optics, photonics, spectroscopic techniques
2. Experience with interdisciplinary research
3. Self-motivated and able to work in a team, coordination of research work

Earliest starting date for this position is October 1, 2024. The project will end in May 2028.

Candidates should apply by completing the form in the link 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:

The deadline for applications is 22/09/2024.

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.

Work Location(s): CIC nanoGUNE

Country: Spain

State/Province: Gipuzkoa

City: Donostia-San Sebastián

Postal Code: E-20018

Street: Tolosa Hiribidea, 76

Contact Email: nano@nanogune.eu

Phone: +34943574000