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    Open positions in the School of IT

    Emergence of Deep Neural Networks (DNN) has led to a proliferation of artificial intelligence applications. Among other tasks, DNNs have been trained to recognize speech, caption photographs, and translate text between languages at high levels of performance. Although applications of DNNs to real-world problems have become ubiquitous, there is a lack of understanding of how these circuits are affected by faults. Due to this fact, adoption of DNNs in safety-critical domain has been lagging behind. As there exist no commonly accepted reliability assessment metrics for DNNs, their certification for safety-critical applications is not possible. Existing state-of-the-art fault-tolerant solutions rely on redundant DNNs with implementation diversity. However, this solution is both costly and does not contribute to facilitating reliability assessment for the overall system.

    Topic of the Thesis

    To cope with the above-mentioned challenges, this PhD thesis has the following targets:

    • Perform failure analysis of DNNs at the structural level to develop the low-level fault model for DNNs;
    • Develop high-level (functional) fault models for DNNs. Identifying mappings between low and high level fault models;
    • Based on these fault models, develop reliability assessment techniques for DNNs;
    • Propose architectural level fault-tolerant techniques for DNNs.

    Requirements for the applicant

    We are looking for motivated individuals with a strong background in neural networks and hardware design. Candidates are expected to have the following core skills:

    • Good level of understanding of DNNs and preferably some basic knowledge on dependability
    • Ability to describe digital designs (preferably in VHDL or Verilog)
    • Ability to code in C++/python for developing small EDA tools
    • Familiarity EDA tools (Cadence, Synopsys, Mentor etc.)
    • Strong writing and communicating skills (English) that are compatible with an entry-level research position

    General conditions

    Funding for this position is project-based and is already in place for the next 3 years. Candidates with adequate backgrounds will be invited to interview over Skype. These positions have an immediate start date. Salary is commensurate with experience and is highly competitive for European standards.

    How to apply

    Please submit your CV to Prof. Jaan Raik by email (jaan.raik@taltech.ee) using the subject ‘PhD position on dependable DNN’.

    About TalTech and the Department of Computer Systems

    Founded in 1918, Tallinn University of Technology (TalTech) is the flagship university of Engineering and Technology in Estonia. It is located in Tallinn, the capital of Estonia, and is currently the most international university in the country with around 1600 international degree students coming from over 90 different countries.

    Selected candidates will join the Department of Computer Systems (https://www.ttu.ee/?id=148265), located on the main TalTech campus. The Department also hosts strong research in the area of circuit reliability, fault tolerance, verification, and test. The department fosters a collaborative environment for research and encourages exploration of cross-disciplinary topics.

    To find out more about life and work in Estonia, please visit: https://www.visitestonia.com/en/ and https://www.workinestonia.com/

     

    The positions will be established within the "ICT programme" project supported by the European Union through European Social Fund (project code: 2014-2020.4.05.19-0001).

    Estonia is the homeland of pioneering ICT solutions which include Skype, e-identity, e-health, and e-governance. Building on these successes, the Estonian ICT industry and academia are fostering cutting-edge research topics in the area of Internet of Intelligent Things (IOIT)

    PhD Position (4 years, full-time): Spatial and temporal large-scale multimodal sensor fusion

    Successful candidates in the areas of Internet of Intelligent Things will conduct applied research and teaching with a focus on developing new multiscale (km to m in space, days to seconds in time) sensor data processing and fusion algorithms. One source of the multi-modal sensor data will be the existing 900 node Tallinn Smart City deployment, which is one of the largest Smart City deployments of its kind. The unique state-of-the-art network can be used to monitor critical infrastructure objects, such as power substations.

    This research goal is to develop new data-driven method for power substation condition monitoring and load forecasting using the Tallinn Smart City environmental sensing network and measurements from substations. The research will be carried out in cooperation with the Estonian electricity operator Elering. The research findings will create new data processing and fusion methods executed either at the Cloud, Fog or Edge level. The methods should decrease load forecast uncertainty, and allow for robust prediction during changes of environmental conditions (heat waves, blizzards, etc.). This position requires a candidate with a strong educational and professional background in signal processing and multivariate time series forecasting.

    PhD Position (4 years, full-time): Edge computing of multimodal sensor for critical power infrastructure

    Successful candidates in the areas of Internet of Intelligent Things will conduct applied research to develop new data processing methods to combine acoustic, thermal imagery and vibration data at electrical power substations. The methods will be applied for data originating from high-voltage instrumented critical infrastructure with a focus on 110kV power substations. The method will require extensive testing and validation of the developed methods in a high-voltage laboratory.

    The resulting research should create new data processing and sensor fusion methods, which can be processed in-situ with limited computational resources, which are able to run on a microcontroller. The results will be applicable for large-scale implementation as part of the Tallinn Smart City network, as well as for critical power system infrastructure monitoring and protection. The ideal candidate possesses educational and professional experience in signal and image processing and microcontroller programming.

    The work will be supervised by Dr. Jeffrey Tuhtan, Dept. of Computer Systems and co-supervised by Jaanus Kaugerand, Dept. of Software Sciences and Assoc. Prof. Jako Kilter, Dept. of Power Engineering and Mechatronics.

    Appointment conditions:

    • [SmartCityPower-PhD] – two positions, please see descriptions above
      • Application deadline: April 30, 2020, or until the position is filled
      • Start date: as soon as possible (PhD enrolment is possible any time of the year)
      • 4-year full-time PhD studies and training through research
      • A competitive net salary toping up the Estonian national PhD student scholarship
      • PhD thesis based on the Smart City Power Infrastructure Monitoring sub-topics
      • Individual development and training guided by three supervisors
      • Access to the Euraxess Estonia Network
      • A young and internationally active school with rapid and efficient university e-management, allowing you to concentrate on the essential

     
    The candidates are expected to demonstrate:

    • Relevant technical education and training (candidates with embedded systems and data science backgrounds are preferred)
    • English language proficiency
    • Research and / or professional experience ability and interest to collaborate across disciplines
    • Ability to cooperate with industry and the public sector

    TalTech is an equal opportunity university. Female candidates are particularly encouraged to apply.

    Application procedure:

    Candidates should submit by email jeffrey.tuhtan@ttu.ee the following documents:

    • Cover Letter (2-3 pages. Please clearly outline your relevant experience, why you are interested in the position, and some brief examples of how you would address the research topics)
    • Documents proving that the candidate holds an MSc (or expected graduation date)
    • a Curriculum Vitae, a PDF copy of their Thesis and if available, their publication list
    • Two letters of recommendation

    (Please mention explicitly the position identifier [SmartCityPower_PhD]). 

     

    The positions will be established within the "ICT programme" project supported by the European Union through European Social Fund (project code: 2014-2020.4.05.19-0001).

    Estonia is the homeland of pioneering ICT solutions which include Skype, e-identity, e-health, and e-governance. Building on these successes, the Estonian ICT industry and academia are fostering cutting-edge research topics in the area of Internet of Intelligent Things (IOIT)

    Unmanned Aerial Vehicles (UAVs) are among the fastest developing and the most promising applications for autonomous systems. They are rapidly underpinning novel services and businesses and urgently require solutions for a spectrum of scientific problems. In the topic of Intelligent Mobile Edge Computing and Communication for Autonomous Drones (IMECC), IT researchers at TalTech tightly collaborate with industry and international partners to build competences and application-ready frameworks for complex autonomous swarms of drones.

    New researchers will be involved in one or several sub-topics listed below:

    • Distributed Mobile Edge Computing (MEC)
      • efficient orchestration of computing and communication at the swarm level
      • near-sensor computing algorithms and architectures
      • optimization for energy efficiency, real-time and low-latency requirements
      • cross-layer reliability modelling and enhancement
    • Radio Communication Architecture 
      • radio resource and interference management 
      • dynamic networking and adaptable communication protocols
      • mission-based communication coordination strategies in a swarm of drones 
      • communication-aware HW/SW architectures 
    • System Integration, Test and Validation 
      • 5G Network – Open Air Interface based 3GPP compliant open platforms 
      • integration of components, 5G modem, cameras and multi-modal sensors
      • Backhaul – plausibility, operational verification 
      • in-field operation of drones (licenses for flight, measurements, load carrying capabilities, etc.) 

    The IMECC project is a collaboration between researchers at the TalTech’s School of IT coordinated by three professors:

    Prof. Yannick Le Moullec - is a professor of cognitive electronics at Thomas Johann Seebeck Department of Electronics, TalTech. His focus in the IMECC project includes methods, techniques and implementation thereof on hardware/software platforms (e.g. software-defined radio) for edge computing/embedded machine learning, etc. He was co-PI of the recently completed H2020 ERA-Chair project “Cognitive Electronics” (COEL) and is currently involved in several national and international research projects. yannick.lemoullec@taltech.ee

    Prof. Muhammad Mahtab Alam – is a professor of communication technologies and research group leader of communication systems at Thomas Johann Seebeck Department of Electronics, Taltech. In IMECC project, he will lead the research and development activities related to radio communication. He is principal investigator in number of on-going multi-million Euros funded projects including closely related to IMECC, NATO-SPS-G5482 “CounterTerror” project. He is currently supervising couple of postdocs and number of PhD students in the area of communication systems. muhammad.alam@taltech.ee

    Prof. Maksim Jenihhin – is professor of computing systems reliability at the Department of Computer Systems of TalTech. In the IMECC project, he focuses on innovative edge and fog computing systems architectures and their analysis ranging from technology and chip-level (e.g. VHDL, FPGA, GPU) to the system-of-systems level (e.g. a swarm of autonomous drones). Prof. Jenihhin is a project coordinator for H2020 RESCUE - Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems Design. maksim.jenihhin@taltech.ee

    Appointment conditions:

    • [IMECC-Postdoc] – two vacancies open
      • Application deadline: April 1, 2020, or until the position is filled
      • The start date: as soon as possible
      • A competitive net salary in a range of 20,000 - 30,000 EUR per year
      • 12- to 24-month fixed term full-time contract
      • Individual Research Project for one of the three IMECC subtopics
      • Individual development and training guided by two supervisors
      • Access to Euraxess Estonia Network
      • A young and internationally active school with rapid and efficient university e-management, allowing you to concentrate on the essential
    • [IMECC-PhD_Student] – one vacancy open
      • Application deadline: April 1, 2020, or until the position is filled
      • The start date: as soon as possible (PhD enrolment is possible any time of the year)
      • 4-year full-time PhD studies and training through research
      • A competitive net salary toping up the national PhD student scholarship
      • PhD thesis topic for one of the three IMECC sub-topics
      • Individual development and training guided by two supervisors
      • Access to Euraxess Estonia Network
      • A young and internationally active school with rapid and efficient university e-management, allowing you to concentrate on the essential

     The candidates are expected to demonstrate:

    • excellent relevant technical and transferable skills as well as English language proficiency
    • a proven research track record
    • ability and interest to collaborate across disciplines
    • willingness to cooperate with industry and the public sector

     TalTech is an equal opportunity university. Female candidates are particularly encouraged to apply.

    Application procedure:

    Candidates should submit by email eva.keerov@taltech.ee the following documents:

    • a Cover Letter
    • documents proving that the candidate holds the required academic degree (MSc or PhD correspondingly) and has acquired the required education
    • a Curriculum Vitae and a List of Publications (if any)
    • a Statement of Future Research
    • a Statement of Teaching Interests (for PostDoc positions only)
    • other documents considered to be important by the applicant

    (Please mention explicitly the position identifier [IMECC-PhD_Student] or [IMECC-Postdoc]).

    Further information:

    • all administrative and eligibility questions should be directed to eva.keerov@taltech.ee
    • for scientific questions, feel free to contact the corresponding scientific coordinators

     

    The positions will be established within the "ICT programme" project supported by the European Union through European Social Fund (project code: 2014-2020.4.05.19-0001).

    The new Hardware Security lab at TalTech (https://www.taltech.ee/en/), led by Prof. Samuel Pagliarini (https://ati.ttu.ee/~spagliar/), invites applications for a postdoctoral research position and for a senior researcher position. The research of the HW Security lab focuses on trustworthy integrated circuit (IC) design, electronic design automation (EDA) for secure systems, Hardware Trojans, reverse engineering, circuit obfuscation, hardware implementation of crypto cores, and other similar topics.

    Requirements for postdoctoral research position:
    We are looking for motivated individuals with a strong background in circuit design. Having a PhD degree is mandatory for this position. Ideal candidates shall have 1-2 years of postdoctoral experience, but candidates close to the completion of a PhD are also highly encouraged to apply. Previous expertise on circuit design is mandatory for this position, ideally with a focus on implementation of Hardware Security primitives or techniques. Candidates are expected to have the following core skills:

    • Ability to describe digital circuitry (preferably in Verilog)
    • Ability to code in C++/python for developing small EDA tools
    • Familiarity w/ Cadence tools for IC design (Genus, Innovus, Tempus, Virtuoso, etc.)
    • Strong writing and communicating skills (English) that are compatible with an entry-level research position

    Requirements for senior researcher position:
    Having a PhD degree is mandatory for this position. Ideal candidates should have 2+ years of postdoctoral experience. We are looking for experienced individuals that can help with everyday management of a brand new research group. Senior researchers are expected to be heavily involved in grant writing, co-advising of 3-4 PhD students, writing reports, organizing meetings, preparing deliverables, and so on. This position is ideal for a candidate that wants to be an academic and is looking to transition from postdoc to assistant professor. The candidate should have a track record of publications in topics related to IC design and Hardware Security.

    General conditions:
    Funding for these positions is project-based and is already in place for the next 3 years. Candidates with adequate backgrounds will be invited to interview over Skype. These positions have an immediate start date. Salary is commensurate with experience and is highly competitive for European standards.

    How to apply:
    Please submit your CV to Prof. Pagliarini by email (samuel.pagliarini@taltech.ee) using the subject ‘Hardware Security positions’.

    About TalTech and the Department of Computer Systems:
    Founded in 1918, Tallinn University of Technology (TalTech) is the flagship university of Engineering and Technology in Estonia. It is located in Tallinn, the capital of Estonia, and is currently the most international university in the country with around 1600 international degree students coming from over 90 different countries.

    Selected candidates will join the Department of Computer Systems (https://www.ttu.ee/?id=148265), located on the main TalTech campus. The Department also hosts strong research in the area of circuit reliability, fault tolerance, verification, and test. The department fosters a collaborative environment for research and encourages exploration of cross-disciplinary topics.

    To find out more about life and work in Estonia, please visit: https://www.visitestonia.com/en/ and https://www.workinestonia.com/

     

    The positions will be established within the "ICT programme" project supported by the European Union through European Social Fund (project code: 2014-2020.4.05.19-0001).