UPB strives to offer relevant learning experiences for a better labour market integration of our students.
You can find the scholarship and internship offer below.
For any further information, you can contact us at: international@upb.ro

1. MobyLab – Pervasive Products and Services

Responsible: prof. Ciprian Dobre, Computer Science Department

Description: This laboratory hosts research and innovation activities in the scientific domain of pervasive and mobile development of products and services. The research supports a modern vision towards the realization of Smart Cities, Future Internet or Internet-of-Things. Innovation supports the increase in quality of life for the society of the future, through solutions designed to facilitate the collection of data and the use of derived information, in systems composed of mobile devices, sensors, actuators, and wireless/wired advanced communication technologies. The results include products, processes and services with applicability ranging from medical applications to economy or education. Research topics: future Internet (SDN, ICN models and technologies), opportunistic ad-hoc networks, decentralized Mobile Cloud, decentralized social computing, WiFi offloading, modelling and simulation for intelligent mobility, urban and participatory sensing, crowd management, trust and security in IoT, coupling sensors with smart data processing. The services of this lab can only be achieved with the use of equipment composed of workstations and smartphones, LoRaWAN technologies, sensors, networking and metering devices, and others.

Link ERRIS: https://erris.gov.ro/PRECIS-UPB

Link: https://cipsm.hpc.pub.ro

Maximum duration of internship: 1 month

Open to: all categories

2. Cloud-based Innovative Services

Responsible: prof. Florin Pop, Computer Science Department

Description: This laboratory hosts research activities on: large-scale distributed systems (design and performance); grid computing and cloud computing; P2P systems; big data management; data aggregation; information retrieval and ranking techniques; bio-inspired optimization methods. Specific research interests are oriented towards adaptive resource management in heterogeneous distributed systems, with scientific emphasis on cluster computing (datacentres), grid computing, P2P computing, and cloud computing all involving elements of heterogeneity. The main scientific (theoretical and experimental) results are: models for adaptive resource management, evolutionary algorithms for task scheduling, dependable services for large scale distributed systems, adaptive methods for resource management in dynamic distributed systems, resource management for efficient data handling, big data processing, self-properties in distributed systems, adaptive (and nature-inspired) P2P overlays, multi-criteria optimization, and service-oriented based frameworks (smart cities, farm management, water resource management).

Link ERRIS: https://erris.gov.ro/PRECIS-UPB

Link: https://florinpop.ro

Maximum duration of internship: 1 month

Open to: all categories

3. Reconfigurable high-confidence medical devices

Responsible: prof. Nirvana Popescu, Computer Science Department

Description: This laboratory works on the development of innovative reconfigurable systems dedicated to the interoperability of different medical devices. It supports the multidisciplinary research and development aiming to create high confidence medical devices, software and systems. The medical IT system development causes a significant change of paradigm: if at first it was a question only of passive devices controlled by a human operator, now we can speak about complex systems incorporating reconfigurable devices, sensors and actuators which dynamically control medical functions and processes. All information taken from sensors leads up to a new class of „cyber-physical” systems with a high degree of functionality and adaptability. The services of this lab are achieved with the help of equipment composed of: an eHealth sensor platform for Arduino, Raspberry PI and Intel Galileo dedicated to medical devices; Brain Computer Interface Systems by g.Tech; Brain Computer Interface Emotive Systems (Scientific Contextual EEG); FPGA Artix-7 development boards; 3D CubeX Trio printer; CAD/CAM – SolidWorks software; USB oscilloscopes; GPS receptors; graphical displays; WiFi Interfaces; ultrasound detectors; digital gyroscopes; accelerometers; stepper motor controllers; 10 workstations.

Link ERRIS: https://erris.gov.ro/PRECIS-UPB

Link: http://www.csit-sun.pub.ro/people/cv_nirvana.html

Maximum duration of internship: 1 month

Open to: all categories

4. AI-MAS: Humanoid Robots and Drones

Responsible: prof. Adina Florea, Computer Science Department

Description: This laboratory offers services related to artificial intelligence solutions and techniques for autonomous applications, in particular multi-agent systems, machine learning, computer vision and humanoid robots control algorithms and applications. The lab bases its services on a long-term experience in the domain of artificial intelligence applications. It has diverse up-to-date equipment, among which 2 Nao robots, one Baxter robot and 2 DJI Flame quadcopter.

Link ERRIS: https://erris.gov.ro/PRECIS-UPB

Link: http://turing.cs.pub.ro/~adina/

Maximum duration of internship: 1 month

Open to: Master, PhD

5. CISL41: Complex Information Systems Lab

Responsible: Assist. Prof. Iuliu Vasilescu, Computer Science Department

The Complex Information Systems Lab (CISL) is focused on projects that combine hardware (electronics devices, including custom build PCBs, mechanical devices, enclosures), with algorithms and software (data filtering, processing, machine learning, communication protocols) in order to address challenges in non-IT industries, including: medical engineering, agriculture, power engineering, smart cities, industrial plants and others. CISL works towards exploiting the power of big data analytics and machine learning by building devices capable of acquiring new types of physical data. The synergy between new types of data and ML opens a large exploration space – ample opportunities for innovation, research and development and economic growth – all centred on data driven decisions. The Complex Information Systems laboratory staff is composed of 6 faculty members and researchers (post-doc and PhD students), and two collaborators with expertise in hardware manufacturing. They have authored more than 62 scientific publications in high ranked conferences and journals.

Link ERRIS: https://erris.gov.ro/CAMPUS—Lab41—UPB

Link: http://campus.pub.ro/website/complex-information-systems

Maximum duration of internship: 1 month

Open to: all categories

6. Multimedia Content Processing and Analysis Laboratory

Responsible: prof. Bogdan Ionescu

Descirption: The Multimedia Lab is a research lab within the UPB research centre CAMPUS. It is focused on developing advanced algorithms and systems for a broad range of multimedia applications, from multimedia content processing to multimedia content-based information retrieval, image/video processing and analysis, multimedia machine learning, intelligent multimedia video surveillance applications and management of multimedia collections. The Multimedia Content Processing and Analysis Lab staff, composed of 8 faculty members and researchers (post-doc and PhD students), was involved in several national research grants and strategic programmes funded by European Structural Funds. They are authors of more than 130 scientific publications in high ranked journals and top conferences from the field.

Link ERRIS: https://erris.gov.ro/CAMPUS—Lab7—UPB/

Link: http://campus.pub.ro/website/multimedia

Maximum duration of internship: 1 month

Open to: Master, PhD

7. Large Scale Distributed Systems Lab

Responsible: prof. Nicolae Tapus

Description: The Large Scale Distributed Systems Laboratory is a research lab within the UPB research centre CAMPUS. The laboratory is conducting technology study, development and deployment of grid technologies, being focused on monitoring, control, resource planning, fault tolerance and performance optimization for increasing the quality of service and performance of the national grid system. Also, it employs the research and development of large data storage, mass storage management systems, in order to facilitate fast search, access and data replication. The laboratory also implements different Cloud computing services as a ground base for cluster and Grid jobs. The Large Scale Distributed Systems Laboratory staff, composed of 7 faculty members and researchers (post-doc, master and PhD students), was involved in several national research grants and strategic programmes funded by European Structural Funds.

Link ERRIS: https://erris.gov.ro/CAMPUS-Lab37-UPB

Link: http://campus.pub.ro/website/large-scale-distributed-systems

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