Principal Investigator: Prof. Volkan Patoğlu

Laboratory: Human Machine Interaction Lab

Department: Mechatronics Engineering

NeurotechEU Linking Partner: BOUN

Study level: Bachelor's and Master's students

Requirements: Strong fundamentals in mathematics, basic knowledge in systems, control, and robotics

Places offered: 2

Research Areas: Physical Human-Robot Interaction, Robotic Rehabilitation

Description: The Human Machine Interaction (HMI) Laboratory focuses on the design, control, implementation, and evaluation of mechatronic systems capable of haptic interaction—physical interaction with the user through the sense of touch. In particular, we develop and analyze principles and tools for enabling physical human-robot interaction (pHRI) from a systems and controls perspective. We aim to achieve optimal performance for such systems while ensuring the safety and ergonomics of interaction under the coupled dynamics of the human-robot system and the constraints imposed by human biomechanics/sensorimotor control. Our research extends to the synthesis of algorithms for simulated physical interaction with virtual environments (haptic rendering) and to the exploration of the control-theoretic framework of the human sensorimotor system through empirical investigations of skill acquisition. Applications of our research include robotic devices for physical rehabilitation, active exoskeletons and prostheses for human augmentation, force-feedback devices for robot-assisted surgery, haptic interfaces for manual skill training, teleoperators for exploration of hazardous or remote environments, x-by-wire systems for the automotive/aerospace industry, and service robots for collaborative task execution with humans.

For more information, visit here or the NEURICOO Partner Portal page.

Principal Investigator: Prof. Tolga Çukur

Laboratories: National Magnetic Resonance Research Center (UMRAM) & Aysel Sabuncu Brain Research Center (ASBAM)

Department: Electrical and Electronics Engineering

NeurotechEU Linking Partner: BOUN

Study level: Bachelor's and Master's students

Requirements: Strong fundamentals in electromagnetics, circuits, algorithms and/or imaging experiments. 

Places offered: 2

Research Areas: Medical imaging, neuroscience, AI.

Description: The Bilkent University imaging and neuroscience research groups offer internship opportunities in advanced medical imaging systems, artificial intelligence–based image reconstruction and analysis, and cognitive neuroscience. Our laboratories provide access to state-of-the-art computational and experimental infrastructure for MRI and MPI research, including hardware laboratories, high-performance computing resources, and modern data acquisition and analysis tools. We aim to develop innovative imaging and methods that bridge engineering, computer science, and neuroscience. Interns gain hands-on experience in algorithm development, machine learning for medical images, and brain-inspired data analysis while developing a multidisciplinary perspective on translating technical knowledge into impactful scientific and healthcare applications.

For more information, visit here for UMRAM, here for ABSAM, or the NEURICOO Partner Portal page.

Principal Investigator: Assist. Prof. Z. Cansu Canbek Özdil

Laboratory: Chemistry for Advanced Nanomaterials and Polymeric Networks Laboratory (CaNoLab)

Department: Material Science and Nanotechnology Engineering Department

NeurotechEU Linking Partner: BOUN

Study level: Bachelor's and Master's students

Requirements: Basic knowledge in nanotechnology

Places offered: 2

Research Areas: Nanotechnology, Clinical neurotechnology

Description: At Yeditepe University Chemistry for Advanced Nanomaterials and Polymeric Networks Laboratory (CaNoLab), our research focuses on the design and engineering of advanced nanomaterials and polymeric network systems with tailored optical, electrical, magnetic, and mechanical functionalities for biomedical and sensing applications. We develop conductive and stimuli-responsive hydrogels, nanogel-polymer composites, and biodegradable soft materials for wearable and implantable sensors, alongside metallic and carbon-based nanomaterials such as silver nanowires, magnetoplasmonic core-shell nanoparticles, gold nanoparticles, MXene-reinforced composites, and carbon quantum dots. A key aspect of our work is the integration of multiscale computational modeling-ranging from molecular dynamics and electromagnetic simulations to heat transfer and device-level modeling-with targeted experimental synthesis and characterization, enabling systematic investigation of structure-property-function relationships. Through this combined experimental-computational approach, in CaNoLab, we aim to advance functional nanomaterial platforms for next-generation sensing and theranostic systems. 

For more information, visit here or the NEURICOO Partner Portal page.

Principal Investigators: Dr. Alper Sarıkan, Pınar Darende

Department: R&D

NeurotechEU Linking Partner: BOUN

Places offered: 3

Research Areas: IoT, Telecommunication, Medtech

Description: At Karel Electronics, we carry out R&D and manufacturing activities in an integrated structure in the field of communication and electronic systems. On the design side, we focus on electronic circuit board (PCB) development, embedded system design, sensor and communication module integration, IoT device architectures, and hardware–software integration. We develop data acquisition devices, gateway systems, and digital monitoring platforms, providing scalable solutions for various industries.
On the manufacturing side, the designed systems are brought to life in line with industrial standards through structured planning, process management, quality assurance, and traceability mechanisms. All stages, from prototype development to mass production, are managed systematically. Continuous improvement is ensured through engineering feedback, test results, and field data analysis. With this integrated approach, Karel delivers reliable and sustainable electronic solutions for telecommunications, IoT, defense, and automotive sectors.

For more information, visit the NEURICOO Partner Portal page.

Principal Investigator: Prof. Can Yücesoy

Institution: The Institute of Biomedical Engineering

NeurotechEU Linking Partner: BOUN

Study level: Bachelor's and Master's students

Requirements: Basic knowledge in biomechanics

Places offered: 3

Research Areas: Biomechanics, Robotic Rehabilitation, AI

Description: MADE in NTSP is a human motion biomechanics research centre providing state-of-the-art motion capture systems, force plates, wireless EMG and IMU devices, and the capacity to assess stair ascent/descent motions and inclined surface as well as level gait. MADE in NTSP is a NATO DIANA official test center and is actively a part of innovations in the challenge areas such as Human Resilience & Biotechnology and Data Assisted Decision Making. MADE in NTSP is also the key research infrastructure of Neurotechnological Solutions Platform and serves as a shared research infrastructure for NeurotechEU. In our lab, we aim to provide innovative neurotechnological solutions for rehabilitation and mobility support targeting major musculoskeletal disorders—such as stroke, CP, amputation, Parkinson’s, and MS—that heavily impact the workforce and society. We offer interns the opportunity to develop practical skills in neurotechnology by assisting in sEMG-based motion analysis experiments using state-of-the-art motion capture systems. Through this hands-on experience, they will develop a multidisciplinary perspective, learning how to translate engineering concepts into clinical solutions for patient needs.

For more information, visit the NEURICOO Partner Portal page.

Principal Investigator: Büşra İnce

NeurotechEU Linking Partner: BOUN

Study level: Undergrads, Bachelor's, Master's, and PhD students

Requirements: Interest in urban policy, public governance, data-driven decision making, climate action, and interdisciplinary collaboration. Strong communication and analytical skills are an asset.

Places offered: 1

Research / Practice Areas: Smart Cities, Urban Data & Digitalization, Climate Change & Resilience, Urban Policy, Governance Innovation, Participatory Processes

Description: Marmara Municipalities Union (MMU) is a regional local government association representing municipalities across the Marmara Region of Türkiye. MMU works at the intersection of knowledge production, capacity building, inter-municipal cooperation, and policy development, supporting local authorities in responding to complex urban challenges through evidence-based and innovative approaches. Interns will have the opportunity to engage with ongoing work in areas such as smart city governance, urban data management, climate adaptation and mitigation policies, environment and water management, resilience planning, and participatory urban practices. Depending on the internship format, students may follow institutional workflows, support research-to-policy translation processes, contribute to stakeholder engagement activities, or work on defined challenges in cooperation with MMU experts and member municipalities. MMU is able to host students who are required to complete a mandatory internship as part of their home institution’s curriculum in Turkey.

For more information, visit here, the MARUF page, or the NEURICOO Partner Portal page.

Principal Investigator: Erdem Samut

Institution: Istanbul Metropolitan Municipality

NeurotechEU Linking Partner: BOUN

Study level: Bachelor's and Master's students

Open Position: 3

Research Areas: Smart Cities

Description: ISBAK (Istanbul IT and Smart City Technologies Inc.), a subsidiary of the Istanbul Metropolitan Municipality (IBB), is a leading producer of smart city technologies and a licensed R&D center in Turkiye. Since its establishment in 1986, ISBAK has been at the forefront of Istanbul’s digital transformation through the technologies it develops. While our primary focus is on Intelligent Transportation Systems, our fundamental goal is to contribute to the creation of more livable, sustainable, and resilient smart cities through holistic solutions in verticals such as Environment, Life, and Security. In the journey of transforming today’s smart cities into the "Cognitive Cities" of tomorrow, we are evolving from reactive management toward a "proactive and predictive" city vision by effectively integrating artificial intelligence across all our technologies, particularly in transportation.
Within the scope of this collaboration, NeurotechEU interns will experience ISBAK as a "living laboratory" and contribute to the development of the core technologies that form the city’s digital nervous system:

• Image Processing Systems: Analyzing visual data from city cameras using AI-based techniques to develop autonomous decision-support mechanisms for traffic monitoring, density detection, and incident management.
• Autonomous and Adaptive Traffic Management Systems: Working on intelligent management algorithms that optimize traffic flow and signalization timings using data from diverse sensor networks.
• Big Data and Predictive Modeling: Utilizing Deep Learning methods to detect anomalies in transportation data and modeling future scenarios through digital twin and simulation technologies.

Our objective is to design innovative solutions that enhance the city's quality of life by utilizing human- and environment-centric technology alongside the engineers of the future.

For more information, visit here or the NEURICOO Partner Portal page.

Principal Investigator: Sinan Öztimur

Institution: Information Technologies & Telecommunication Solutions

NeurotechEU Linking Partner: BOUN

Description: Smart Cities

More Info: https://isttelkom.istanbul/en/home/

Principal Investigator: Jose Maria Azorin

Institution: Miguel Hernández University of Elche

Department: Systems Engineering and Automation Department

NeurotechEU Linking Partner: UMH

Study level: Bachelor's and Master's students

Requirements: None

Places offered: 3

Research Areas: EEG, BMI, Robotic Rehabilitation, AI, exoskeletons

Description: The Brain-Machine Interface Systems Lab (BMILab) is a neuroengineering research laboratory specializing in brain-machine interfaces (BMI), EEG-based systems, neurorobotics, and intelligent human–machine interaction. The lab is equipped with state-of-the-art EEG acquisition systems, wearable biosignal sensors, robotic platforms, and advanced computational tools for signal processing, machine learning, and real-time neural control. BMILab contributes actively to research in neurotechnology, rehabilitation engineering, and assistive robotics, addressing key challenges in neural rehabilitation, motor recovery, and human augmentation.
BMILab is located at Miguel Hernández University of Elche and collaborates with international academic and clinical partners in neuroscience, biomedical engineering, and rehabilitation. The lab focuses on developing adaptive neural interfaces and intelligent control strategies for rehabilitation technologies, particularly for lower-limb motor recovery and assistive systems. Research activities integrate multimodal biosignals (such as EEG, EMG, and other physiological measurements) with robotic or mechatronic devices to better understand cognitive and motor engagement during movement and therapy.
We offer three internship positions for students interested in gaining hands-on experience in neurotechnology research. Interns will develop practical skills by assisting in EEG-based experiments, signal acquisition and processing, and the implementation of neural decoding and machine-learning algorithms for human-machine interaction and rehabilitation contexts. In addition to contributing to ongoing laboratory activities, each student will conduct a small side investigation related to their assigned topic, allowing them to explore novel methods, validate alternative approaches, or extend existing experimental protocols. Through this immersive experience, students will gain a multidisciplinary perspective on how engineering, artificial intelligence, and neuroscience can be translated into real-world solutions for neurorehabilitation and assistive technology. The expected duration of each internship is 2 months (June and July 2026).

For more information, visit here or the NEURICOO Partner Portal page.

Principal Investigator: Pablo Belmonte

NeurotechEU Linking Partner: UMH

Study level: Bachelor's and Master's students

Requirements: None

Places offered: 5

Research Areas: EEG, AI, fNIRS, Mild Cognitive Impairment

Description: At NewmanBrain, we specialize in developing applied AI solutions for the evaluation of cognitive disorders using fNIRS technology. Interns joining our team will have the opportunity to work at the intersection of neuroscience and advanced data analytics. We are specifically looking for candidates with a background in biomedical engineering or informatics engineering. We will provide the necessary guidance to help them develop feasible, real-world solutions within this specialized field.

For more information, visit here or the NEURICOO Partner Portal page.

Principal Investigator: Rotating

Institution: Rotating

NeurotechEU Linking Partner: UBO

Study level: Bachelor's and Master's students

Requirements: Please get in touch with Sina Loos (Loos@verwaltung.uni-bonn.de) for information on standard application and matching process.

Places offered: TBD

Description: Neurodegenerative diseases, Neuroimaging, AI-based diagnosis

More Info: https://www.dzne.de/en/

Principal Investigator: Rotating

Institution: Rotating

NeurotechEU Linking Partner: UBO

Study level: Bachelor's and Master's students

Requirements: Please get in touch with Sina Loos (Loos@verwaltung.uni-bonn.de) for information on standard application and matching process.

Places offered: TBD

Description: Computing systems

More Info: https://mpinb.mpg.de/en/

Principal Investigator: Prof. Anna Sigridur Islind

Laboratory: The Centre for Information Systems and Data Science Research (CISDAS)

Institution: Reykjavik University

Department: Computer Science

NeurotechEU Linking Partner: HR

Study level: Bachelor's and Master's students

Requirements: None

Places offered: 2

Research Areas: Digital Health

Description: At Landspítali, research spans clinical studies, laboratory medicine, and translational projects that connect patient needs with new diagnostics and therapies. Research groups within Labdspitali  work with high quality clinical data, biobanks, and advanced methods (e.g., biomarkers, genomics, imaging, and quality improvement) to improve outcomes, safety, and efficiency in real healthcare settings. For interns, this means hands on exposure to how research questions are formed from real clinical challenges, how data and samples are handled responsibly, and how results can directly inform better patient care and hospital practice of building strong skills for future study or careers in health and biomedical innovation.

For more information, visit here or the NEURICOO Partner Portal page.

Principal Investigator: Peter Szucs

Institution: Electron Microscopy Core Facility / Spinal Nociceptive

NeurotechEU Linking Partner: UD

Study level: Bachelor's and Master's students

Requirements: None

Places offered: 2

Research Areas: Electron Microscopy, Patch-clamp electrophysiology, Basic neuroscience

Description: 

1. Electron microscopy core facility
The intern/trainee will have the opportunity to learn and master biological sample preparation (nervous tissue) for transmission EM and serial block face Scanning EM. 
All preparation steps will be covered from fixation to imaging. Prior experience with electron microscopy is preferred but not a requirement. 
Volumetric EM data image analysis and 3D reconstruction (softwares: Imaris, Amira, Neurolucida) techniques will also be covered. (max. number of students accepted: 1)

2. Spinal Nociceptive Processing (patch clamp electrophysiology)
The intern/trainee will have the opportunity to learn single whole-cell patch-clamp (voltage and current clamp) recordings from neurons in vitro from brain/spinal cord blocks by using the oblique IR-LED illumination technique (developed by Boris Safronov). The program includes information about how to prepare solutions, patch pipettes, in vitro tissue block preparations, recording techniques, field stimulation, and optogenetic techniques. (max. number of students accepted: 1)

For more information, visit here or the NEURICOO Partner Portal page.