To: 27/05/2026 14:00
In the era of big data, machine learning (ML), a subfield of artificial intelligence, offers powerful tools widely used in science and industry due to their significantly lower computational cost compared to conventional methods. However, the accuracy of ML predictions relies heavily on identifying the right parameters (features) that enable effective learning from past data. Additionally, the quality and size of the dataset used to train the algorithm are critical for reliable predictions.
In traditional ML, feature extraction involves manually identifying and engineering key characteristics from raw data to enhance model performance. In contrast, deep learning (DL) automates this process through layered neural networks that learn relevant features directly from data, making it especially effective for complex tasks like image and speech recognition. This end-to-end approach allows DL models to process high-dimensional data with minimal preprocessing.
Here, we propose a deep learning framework for predicting gas adsorption properties of materials, using image recognition algorithms. We use images of the Potential Energy Surface (PES) and the Point Clouds (PC) of MOFs as descriptors. PES uniquely combines the material's classical structural characteristics with its quantum electronic structure, encapsulating the material's information in both classical and quantum worlds - a fusion of chemistry and physics. On the other hand, PCs is a minimal representation of the material’s 3D structure, eliminating the need for hand-crafted features.
Both methodologies were validated across different materials, gases, thermodynamic conditions and datasets, demonstrating broad applicability for diverse materials and properties. Moreover, the importance of physical grounded descriptors like PES was verified.
*Joined with FORTH / ICS
To: 20/05/2026 14:00
Optical wireless communications (OWC), and in particular LiFi, have emerged as a compelling complement to radio-frequency technologies, offering vast unlicensed spectrum, inherent security, and the potential for ultra-high data rates. As we move towards 6G and beyond, the role of light is evolving from a communication medium to a key enabler of sensing, intelligence, and environmental awareness. This talk provides an introduction to OWC, starting from the fundamental principles of light-based communication and the evolution of LiFi systems. It then explores recent advances that extend these systems beyond data transmission, highlighting how optical signals can be leveraged for high-precision sensing, localisation, and environmental mapping. The talk will introduce the concept of intelligent optical environments, where communication and sensing are tightly integrated within programmable and adaptive infrastructures. Such environments have the potential to enhance network resilience, strengthen physical-layer security, and enable new context-aware services. Finally, the talk outlines key research challenges and future directions in the design of scalable, robust, and intelligent OWC systems, positioning optical wireless technologies as a cornerstone of next-generation wireless networks.
Position Description
The Institute of Electronic Structure and Laser of the Foundation for research and Technology Hellas (IESL-FORTH), in the framework of the project «Quantum Memory Prototype For Space», QMem, is seeking to recruit one (1) research assistant position for supporting the Space Optics laboratory.
Job Description
We are looking for a research assistant for optoelectronics.
Required Qualifications
- BSc in Physics
- MSc In Physics
- Experience in Space Technologies
- Interview
Desirable Qualifications
- Good knowledge in English
- Working experience in an international research department
Application Procedure
Interested candidates who meet the aforementioned requirements are kindly asked to submit their applications to the address (hr@iesl.forth.gr), with cc to the Scientific Coordinator Dr Wolf von Klitzing (wvk@iesl.forth.gr).
In order to be considered, the application must include:
- Application Form (Form Greek or Form English to the left)
- Brief CV
- Scanned copies of academic titles
Any application received after the deadline will not be considered for the selection
Appointment Duration
7Position Description
Deadline extension
The Institute of Electronic Structure and Laser of the Foundation for research and Technology Hellas (IESL -FORTH), in the framework of the project CoCoGel, (Call: HORIZON-MSCA-2022-DN-01, GA 101120301), Funded under HORIZON-TMA-MSCA-DN-ID - HORIZON TMA MSCA Doctoral Networks – Industrial Doctorates, is seeking to recruit one (1) PhD student.
FORTH is seeking for one motivated PhD Candidate to work in the field of Soft Matter. The "CoCoGel" Network involves leading experts from 12 European labs and Industries with vast experience in experiments, computer simulations, and industrial systems. The candidate will enroll in the PhD program of the Department of Materials Science and Technology of University of Crete.
Job Description
Tuning model colloidal gels by external shear and flow – Applications to energy related materials (DC1)
For details on the research projects see: https://cocogel.iesl.forth.gr/esr-projects
To qualify for the positions, you cannot have resided or carried out your main activity (work, studies, etc.) in Greece for more than 12 months in the 36 months preceding the recruitment start date. The candidate will spend 9 months at industrial of the CoCoGel project
Related Project
CoCoGel -Required Qualifications
- Undergraduate degree and Master's in fields covering soft matter fundamentals (e.g., chemical engineering, physics, materials science)
- Background in physical chemistry and Laboratory experience with soft materials (polymeric, colloidal)
- Two (2) Recommendation letters
- Publications and Presentation/communication skills
Desirable Qualifications
- Experience in experimental techniques, especially rheology, scattering or microscopy
- Experience in programing and computer simulations
Application Procedure
Interested candidates who meet the aforementioned requirements are kindly asked to submit their applications, no later than May 27, 2026, 23:59 local Greece time to the address (hr@iesl.forth.gr), with cc to Prof. George Petekidis (georgp@iesl.forth.gr) and Mr. Denis Botog (cocogel@iesl.forth.gr).
In order to be considered, the application must include:
- Application Form (please download file from the job announcement webpage https://www.iesl.forth.gr/en/jobs-bids/jobs/job-positions)
- Detailed curriculum vitae (CV) of the candidate
- Scanned Copies of academic titles
Any application received after the deadline will not be considered for the selection
Appointment Duration
18 MonthsFunding
To: 13/05/2026 14:00
Optical fiber sensors offer a unique combination of compactness, immunity to electromagnetic interference, high sensitivity, and the ability to operate in demanding environments. Their multiplexing capability and compatibility with sensing, transducing materials make them particularly attractive for real-time monitoring across a wide range of applications.
The presentation will outline the development of application-driven optical fiber sensors, across multiple domains, including precision agriculture, industrial monitoring, environmental assessment and biomedicine. Key optical fiber sensing platforms, including Fiber Bragg Gratings, Long Period Gratings, Fabry–Pérot cavities, and No-Core Fibers, will be introduced as versatile building blocks enabling sensing of physical, chemical, and biological parameters.
George Veisakis is a Nanofabrication Infrastructure & R&D Engineer, specializing in the Thin-Film fabrication and electrical characterization of Transparent Conductive Electrodes (TCEs), sensors, Organic Photovoltaics (OPVs), and hybrid perovskite solar cells. He possesses deep technical expertise in spray coating, spin coating, screen printing, blade coating, Thermal Vacuum Evaporation and Thermal Oxidation. George also brings extensive experience in the design and development of custom experimental equipment, including the installation and maintenance of laboratory infrastructure. George has spend a significant amount of his career in research groups and laboratories creating novel measurement and fabrication systems. He is particularly interested in nano technology and advanced micro fabrication methods.
Education
- M.Sc. in organic electronics & applications, Hellenic Mediteranean University (HMU), GR
- B.Sc. Electrical engineering, Hellenic Mediteranean University (HMU), GR
Career
- 02/2023 - , Technical scientist, 2D Carbon electronic group, FORTH - IESL, GR
- 12/2016 - 12/2022, Research engineer, HMU Research center, Institute of emerging technologies, GR
- 05/2015 - 09/2015, Laboratory Technician at LTFN-AUTh, Thessaloniki, Greece
- 12/2014 - 05/2015, Laboratory Technician / Internship training at OET - Organic Electronic Technologies P.C., Thessaloniki, Greece
Interests
- graphene based devices
- sensors
- thin film fabrication
- nanophotonics
- vacuum technologies
Position Description
The Institute of Electronic Structure and Laser of the Foundation for research and Technology Hellas (IESL-FORTH), in the framework of the project «Development of a Fibered Raman Combiner for Quantum Space Sensors»,RamanBC, is seeking to recruit One (1) research assistant for supporting the Space Optics laboratory.
Job Description
We are looking for a Research Assistant for imaging in ultra-cold atom experiments. The ideal candidate should be able to work indecently as well as in a team.
Required Qualifications
- B.Sc. in Physics or related domains
- M.Sc. in Physics or related domains
- Demonstrated experience in optics
Desirable Qualifications
- Demonstrated experience in cold atom experiments
- Fluent in English, both written and spoken (at least C2)
- Interview
Application Procedure
In order to be considered, the application must include:
- Completed application Form (Download link to the left)
- Brief CV
- Scanned copies of academic titles
- Reference letters (if required)
- All required forms and documents as layed out in each Job opening description
Please send your application and all documents to: hr@iesl.forth.gr and cc the Scientific supervisor marked in the left column
Appointment Duration
6Position Description
Έρευνα σε συμπυκνώματα παγιδευμένων ημιαγωγών εξιτονίων-πολαριτονίων, σε στενή συνεργασία θεωρίας και πειράματος. Συγκεκριμένα, η συνοχή και οι συσχετίσεις των πολαριτονίων θα μετρηθούν με υψηλή ακρίβεια με τρόπο ευαίσθητο στη φάση και θα χαρακτηριστούν με οπτικά συμβολομετρικά και τομογραφικά μέσα.
Related Project
QuComPol -Required Qualifications
- Διδακτορικός τίτλος σπουδών σε θετικές επιστήμες (Φυσική, Ηλεκτρ. Μηχανικός, Οπτικός Μηχανικός ή συναφές)
- Εμπειρία με πειραματικά συστήματα λέιζερ και οπτικές, ευαίσθητες στη φάση συμβολομετρικές μετρήσεις
- Θεωρητική γνώση και κατανόηση των μετρήσεων κβαντικής οπτικής συνοχής και συσχέτισης
Desirable Qualifications
- Γνώσεις και εμπειρία στον προγραμματισμό υπολογιστών
- Άριστη γνώση Αγγλικής γλώσσας
Application Procedure
Στο φάκελο υποβολής της πρότασης θα πρέπει να εμπεριέχονται τα ακόλουθα:
- Αίτηση (Form Greek στην αριστερή στήλη) με αναφορά στον κωδικό της θέσης και στο όνομα του προγράμματος
- Αναλυτικό Βιογραφικό Σημείωμα
- Ευκρινή φωτοαντίγραφα τίτλων σπουδών
ΥΠΟΒΟΛΗ ΠΡΟΤΑΣΕΩΝ
Οι ενδιαφερόμενοι καλούνται να υποβάλουν τις αιτήσεις τους και όλα τα απαραίτητα δικαιολογητικά, ηλεκτρονικά στη διεύθυνση hr@iesl.forth.gr με κοινοποίηση (cc): στον Δρ. Petrosyan David (dap@iesl.forth.gr). Οι αιτήσεις θα πρέπει να αποσταλούν με την ένδειξη: «Αίτηση στο πλαίσιο του προγράμματος QuComPol, της πρόσκλησης εκδήλωσης ενδιαφέροντος με Α.Π. … και κωδικό θέσης … » (όπως αυτός αναφέρεται στον Πίνακα του Παραρτήματος).
Appointment Duration
6Funding
