10 Education positions at INL in Portugal

Research Fellow – Electron Microscopy of 2D Materials (Ref.01.24.03/1)

. This project will develop a scalable Dirac transistor technology based on large area integration of 2D and 3D Dirac materials (e.g., graphene and CoSi), and the realisation of high-performance device

Research Fellow – PEM Electrolyser (RRP.11.28.19.9/2)

; Prepare documentation, detailed instructions, and protocols. Education PhD in Natural Sciences or Engineering. Experience and Technical Skills High technical capability; Expert in membrane-based

Research Fellow – Alkaline Electrolyser (RRP.11.29.19.11/1)

; Prepare documentation, detailed instructions, and protocols. Education PhD in Natural Sciences or Engineering Experience and Technical Skills High technical capability Expert in alkaline electrolysis

Bolseiro de Investigação / Research Associateship – Development of samplers based on Covalent Organic Frameworks for the monitoring of pharmaceuticals in water (Ref.12.23.74/1)

is to design and prepare high-performance supported covalent organic framework (COF) nanomaterials for the extraction of pharmaceutical pollutants and to demonstrate their efficiency in the natural

Research Fellow – Asymmetric Electrolysis (RRP.11.29.19.10/2)

the results of the project. Education PhD in Natural Sciences or Engineering. Experience and Technical Skills Expert in the synthesis of the catalytic materials; Experience in electrochemistry and

Junior Research Fellow (MSc) – Modelling excitations in quantum 2D materials (Ref.04.24.22)

)      Academic and/or Professional diplomas; d)     At least one recommendation letter; e)     Recognition of academic degrees (only academic degrees awarded by non-Portuguese higher education institutions

Research Fellow - Synthesis and characterisation of layered materials for energy storage and conversion (Ref.04.24.21)

electrochemical and related techniques; Disseminate the work in international conferences; Publish in high impact journals; Prepare technical and progress reports. Mandatory Qualifications Education PhD in

Research Engineer – Artificial Intelligence, Machine Learning and Signal Processing (Ref.04.24.20)

previously mentioned data domains; Design and develop AI models from scratch; Find patterns and anomalies within large datasets in supervised and preferably unsupervised methods; Design, build and manage ML

Research Fellow – Phonon for interconnects (Ref.04.24.18)

Education PhD in Condensed Matter Physics, Physical Electronics, or related field. Experience and Technical Skills Postgraduate level research experience in experimental semiconductor laboratory-scale devices

Research Fellow – Phonon waveguide (Ref.04.24.17)

Education PhD in Condensed Matter Physics, or related field. Experience and Technical Skills Postgraduate level research experience in experimental semiconductor laboratory-scale devices, nanophotonics and or