Applies to General Signal Processing

The Delft Center for Systems and Control (DCSC) at TU Delft is offering one PhD vacancy under the newly funded ‘Signal Processing for Environment-Aware Radar’ (SPEAR) project. The project will be carried out in the research group of Dr. N. J. Myers, in collaboration with researchers at the faculty of 3mE and the faculty of EEMCS. The PhD candidate will work on industry-relevant scientific challenges in collaboration with industry experts from NXP.

Dr. Myers’s group at TU Delft develops and analyzes novel signal processing techniques for communications and sensing with wireless systems. We focus on both applied and theoretical aspects of challenging problems in connected automotive and radars.

PhD project description: In next generation automotive networks, radars will be deployed in almost every vehicle to ensure safe driving. In such dense radar deployments, signals from multiple radars interfere with each other and deteriorate the perception capability of the radars.  This PhD project will develop new signal processing techniques, to construct multi-dimensional digital radar waveforms and algorithms, that ensure interference-robust radar operation even in dense automotive networks. Our techniques are also expected to adapt to the sensing environment, by leveraging information from various sensors in an automotive. 

Are you interested in this vacancy? Please check the job requirements and apply here before 31 January 2023.

Candidates are also encouraged to look at another PhD vacancy, within the project SPEAR, in the group of Dr. Geethu Joseph, EEMCS: PhD Position in Radar Signal Processing For Next Generation Vehicular Networks.

Research Engineer (Research Fellow) in Sound Sensing

       Location: University of Surrey, Guildford, UK

       Closing Date: Monday 08 August 2022 (23:59 BST)

       Further details: https://jobs.surrey.ac.uk/025022-R

Applications are invited for a Research Engineer (Research Fellow) in Sound Sensing, to work full-time for six months on an EPSRC-funded Fellowship project "AI for Sound" (https://ai4s.surrey.ac.uk/), to start September 2022 or as soon as possible thereafter.

The aim of the project is to undertake research in computational analysis of everyday sounds, in the context of a set of real-world use cases in assisted living in the home, smart buildings, smart cities, and the creative sector. 

The postholder will be responsible for designing and building the hardware and software to be developed in the fellowship, including sound sensor systems, open-source software libraries and datasets to be released from the project.

The postholder will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) and work under the direction of PI (EPSRC Fellow) Prof Mark Plumbley.

The successful applicant is expected to have a postgraduate qualification in electronic engineering, computer science or a related subject, or equivalent professional experience; experience in software and hardware development relevant to signal processing or sensor devices, and experience in software development in topics such as audio signal processing, machine learning, deep learning, and/or sensor systems.  Experience in development and deployment of hardware sensors, Internet-of-Things (IoT) devices, or audio systems; and programming experience using Python, C++, MATLAB, or other tools for signal processing, machine learning or deep learning is desirable. Direct research experience, or experience of hardware or software development while working closely with researchers, is also desirable.

CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 180 researchers, a grant portfolio of £26M (£17.5M EPSRC), and a turnover of £7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 120 GPUs for deep learning and >1PB of high-speed secure storage.

The University is located in Guildford, a picturesque market town with excellent schools and amenities, and set in the beautiful Surrey Hills, an area of Outstanding Natural Beauty.  London is just 35 minutes away by train, while both Heathrow and Gatwick airports are readily accessible.

For more information about the post and how to apply, please visit:

       https://jobs.surrey.ac.uk/025022-R

Deadline: Monday 08 August 2022 (23:59 BST)

For informal inquiries about the position, please contact Prof Mark Plumbley (m.plumbley@surrey.ac.uk).

NYU ECE Department is looking to hire in all areas related to wireless systems including, but not limited to (in alphabetical order): antennas, circuits, communications theory, information theory, machine learning, networking, radio propagation, signal processing, sensing, security, and applications. The candidate will be a member of NYU WIRELESS, a world leading research institute on next generation networks; we seek individuals that can engage actively with the industrial affiliates of the center.

Read more and apply at this link: https://apply.interfolio.com/94689

Deadline: December 14, 2021

NYU is strongly committed to fostering a diverse, inclusive, and welcoming environment. Applications by members of all underrepresented groups are strongly encouraged.

The Computational Medicine Lab (CML) at the New York University’s Biomedical Engineering Department has Ph.D. and M.S. openings for highly motivated and creative prospective Ph.D. and M.S. students with applied mathematics, signal processing, and/or control theory backgrounds to develop mathematical algorithms for biomedical engineering applications with a focus on human subject research. The Ph.D. and M.S. students will be working on the MINDWATCH project, which is supported by an NSF CAREER Award and is based on the on-going research that was featured by MIT Technology Review’s global list of 35 Innovators under 35. Those interested in the openings can apply using the link: https://engineering.nyu.edu/admissions/graduate/how-apply

The Fall 2022 application deadline is December 1st, 2021. The statement of purpose/personal statement should mention that the prospective student is interested in joining CML/Faghih lab. 

Please note after 5 wonderful years at the University of Houston ECE, CML will be relocating to NYU in Spring 2022. CML mainly focuses on designing control, optimization, estimation, signal processing, and machine learning algorithms for biomedical and neural engineering applications. The ideal Ph.D. candidate has obtained their B.S. or M.S. degree in electrical, mechanical or biomedical engineering, or related fields (e.g., computer science, applied mathematics, statistics, etc.) focusing on control theory and/or signal processing and/or machine learning. The projects involve algorithm design and validation in real-time experiments with human recordings. Questions regarding the CML openings can be emailed to rfaghih@nyu.edu with subject line "Graduate Openings at CML".

The School of System Design and Intelligent Manufacturing is a multidisciplinary school in Southern University of Science and Technology with diversified specialties in design, intelligent manufacturing, computer engineering, electrical and electronics engineering, mechanical engineering, materials science and engineering, and system management.

Please visit the website at https://sdim.sustech.edu.cn/ for more information about the School.

Post Specification (10 posts)

Professor/Associate Professor/Assistant Professor in following areas:

1. Design: product design/human-centered and experience design/interactive design/media design/product system design (3 posts);
2. Mechanical Engineering: solid-structural mechanics/fluid mechanics/fluid-structure interaction/aerodynamics/computational mechanics/thermodynamics/heat transfer (2 posts);
3. Intelligent Manufacturing: control and optimization/robotics/factory automation/cyber-physical systems/distributed systems/autonomous systems (1 post);
4. Electrical and Electronics Engineering: MEMS or CMOS sensing/biometric sensing/remote sensing/biomedical imaging/multi-physics/multi-modal sensor simulation/machine vision/computational imaging/sensor fusion/sensor network/ASIC design/mixed signal design (1 post);
5. Computer Engineering: computer architecture/communication and information theory/distributed systems/network optimization/machine learning/fog and edge computing, signal processing (1 post);
6. Materials Science and Engineering: functional materials/soft materials/conducting polymer sensors/functional magnetic materials/metamaterials/photovoltaic materials (1 post);
7. System Management: management science/industrial engineering/operations research/systems and control/optimization/decision science (1 post).

Duties

The appointee will be required to:

1. conduct lectures, practical sessions and tutorials at postgraduate and undergraduate levels in related disciplines with new engineering education methodology;
2. supervise undergraduate and postgraduate students;
3. establish a vigorous research programme at the cutting edge of related disciplinary, and engage in other scholarly activities;
4. contribute to school and programme administration as well as curriculum development;
5. perform any other duties as assigned by the Dean of School or his/her delegates.

Qualifications

Applicants should:

(a) have a PhD degree in related disciplines;

(b) have relevant post-qualification experience in teaching and research;

(c) have an excellent publication record in peer-reviewed international journals;

(d) For the posts in Design, the qualifications include:

(1) applicants should have Master’s or PhD in Design;

(2) a relevant professional qualification plus extensive industrial experience in product design and development.

Remuneration and Conditions of Service

A highly competitive remuneration package will be offered. Appointment will be on a tenure-track term.

Application materials

1. Resume
2. Recommendation letter 3
3. Representative publiccations (published in recent five years) and academic achievements
4. Honors and Awards
5. Academic research plan

Application process: please send the application materials to

Sdim_hr@sustech.edu.cn.

The Department of Electronic and Electrical Engineering invites applications for a number of tenured and/or tenure track faculty positions at all ranks in the Department of Electronic and Electrical Engineering at SUSTech. 

Candidates with strong track record and high potential with research interests in all mainstream fields of electronic and electrical engineering are invited to apply, including but not limited to Circuits and Systems, Communication and Networking,  Signal and Media Information Processing, Control Science and Engineering, Robotics and Machine Vision, AI and Big Data, VR/AR/DR, Electronics and Microelectronics, Semiconductor Devices and IC Design, Embedded Systems, Internet of Things, and Photonics. These positions are full time posts. SUSTech adopts the tenure track system, which offers the recruited faculty members a clearly defined career path.

Candidates should have demonstrated excellence in research and a strong commitment to teaching. A doctoral degree in related areas is required at the time of appointment. Candidates for senior positions must have an established record of world-class research, and a track-record in securing substantial external funding as PI. Located in a State-level innovative city that is home to some of China’s most successful high-tech companies, such as Huawei and Tencent, SUSTech emphasizes entrepreneurship. Entrepreneur experience is considered a plus.

To apply, please send a full curriculum vitae, a description of research interests and a statement on teaching to eehire@sustech.edu.cn. SUSTech offers internationally competitive salaries, fringe benefits including medical insurance, retirement and housing subsidies, which are among the best in China. Salary and rank will commensurate with qualifications and experience.

More information can be found at http://talent.sustech.edu.cn/en and http://eee.sustech.edu.cn/en. The search will continue until the positions are filled.

For informal discussions about the above posts, please contact Professor Max Q.-H. Meng, Head of Department of Electronic and Electrical Engineering, via email: max.meng@sustech.edu.cn or phone call at 86-755-88015945.

To learn more about working & living in China, please visit: http://www.jobs.ac.uk/careers-advice/country-profiles/china.

• Aalto University – in the top-20 young universities worldwide – invites applications for an Assistant or Associate level professor in all areas at the intersection of computational sciences and arts or design. We are particularly interested in candidates studying novel computational methods to augment human creativity and imagination, including but not limited  to fields such as:

  • Artificial intelligence, especially applications in creativity, games, and arts;

  • Computational design, creativity support;

  • Visual computing, including computer vision and computer graphics;

  • Speech and language technology, acoustics and audio engineering;

  • Human-computer interaction, visualization, and human-robot interaction; 

  • Augmented and virtual reality technology and applications;

  • Game design, interaction design, architectural design and other relevant areas of design.

  We are particularly looking for candidates interested in the augmentation of human creativity via computational methods; creation of novel interactive experiences, creation of novel design strategies in relation to complex global challenges for example, via virtual and augmented reality (VR, AR), and games; as well as technology-enhanced art, design, architecture and entertainment. 

  Who are we?

  Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 12 000 students, 400 professors and close to 4 000 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland.

  This call is carried out between three Schools of the university:

  1 - The Aalto University School of Arts, Design and Architecture (Aalto ARTS) is world-leading in higher education for design, fashion, game design, media, architecture, film, art education and fine art. We are a diverse community of professionals, with great appreciation for creativity and responsibility. We produce world-class research and educate front-line professionals and visionaries for established, changing and emerging fields. We are tackling societal grand challenges head-on and striving towards a sustainable, just society and environment. https://www.aalto.fi/en/school-of-arts-design-and-architecture

  2 - The Aalto University School of Electrical Engineering promotes high-quality science, technology and innovations for the benefit of the Finnish society and all of humankind. In our research environment, the natural sciences, engineering and information technology intertwine to form smart systems and innovations that save energy and promote well-being. With our research, we seek to respond to many challenges posed by sustainable development and the results are applied, for example, in mobile devices, electrical networks, health care and in satellites. https://www.aalto.fi/en/school-of-electrical-engineering

  3 - The Aalto University School of Science,  aims to change the world for the better by creating new knowledge, deepening our understanding and combining core research areas in novel ways. Through our internationally-acclaimed high-level research, we aim to make a significant impact on society. The research at our school focuses on advanced energy solutions, condensed matter, quantum and materials physics; creation and transformation of technology-based business; data science and artificial intelligence; health technology and neuroscience. https://www.aalto.fi/en/school-of-science

  Aalto Art & Design is #6 in the world (QS ranking). Human-computer interaction research at Aalto University is ranked #2 in Europe and #15 in the World and Computer Graphics #11 in Europe (csrankings). Aalto CS research is ranked #3 in Europe and #33 in the World (US News).

  What we offer

  Creative technologies is at the center of Aalto University’s strategic plan and will see strong investments during next years.

  Aalto Studios is one of the significant research and teaching infrastructures in Aalto University. Our new building, to be opened in the autumn 2023, will be the home for events, consultation, and production. Aalto Studios hosts MAGICS-Aalto, a multidisciplinary research community that provides excellence in VR, remote presence, and technologies for measuring human experiences under naturalistic conditions.
  https://studios.aalto.fi/

  Aalto Acoustics Lab has world-class research facilities for acoustics research, including anechoic and variable-acoustics rooms, and state-of-the art multichannel audio systems.
  https://www.aalto.fi/en/aalto-acoustics-lab

  Aalto Design Factory is a world-known interdisciplinary product design and learning hub.
  https://designfactory.aalto.fi/

  Finnish Center for AI (FCAI) is a nation-wide competence center for Artificial Intelligence. FCAI is one of the six Academy of Finland Flagships and brings together over 60 professors and over 20 companies in the capital region, and hosts the ELLIS unit Helsinki (ellis.eu).
  https://fcai.fi/

  Requirements and Process

  Candidates applying to this call are considered for the position of either Assistant or Associate Professor. Applicants are required to have a doctoral degree in a field relevant to the area of the call, or expected to obtain their doctoral degree no later than March 31, 2022.

  The applicants will be reviewed on the basis of their research or artistic achievements in relation to their career stage, their teaching merits, and activity in the academic community; recommendation letters will also be taken into consideration, and applicants are encouraged to solicit eminent scholars as referees. Short-listed applicants will be invited to present and discuss their research with faculty. Evaluation follows the tenure track system at Aalto University. At the Assistant Professor level it is mainly based on research or artistic merits as well as the applicant’s potential. At the Associate Professor level demonstrated research or artistic merits as well as teaching merits are required. A person at any level of the tenure track system is expected to produce world‐class research or art, to teach, advise and otherwise advance both graduate and undergraduate education, to be an active member of the international academic community, and to exhibit academic leadership. Career advances on the tenure track are based on scheduled performance assessments, which take into account the candidate’s merits in all these areas.

  https://www.aalto.fi/en/tenure-track/tenure-track-career-path

  Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. We warmly encourage qualified candidates from all backgrounds to join our community.

  The contract includes occupational health benefits. Relocation services are also available for people coming from abroad.

  How to Apply

  Submit your application electronically through our recruitment system: Open positions - Workday (myworkdayjobs.com). Applications will close on October 24, 2021 at 23:59 EET (UTC+2). The application material must be in English and must include the following attachments in PDF format:

  1. cover letter including a summary of merits and most important achievements relevant to the call (recommended length: 1 page),

  2. curriculum vitae,

  3. research statement (recommended length: 4 to 6 pages),

  4. teaching statement (recommended length: 2 to 6 pages),

  5. names, positions, affiliation(s) and e-mail addresses of up to five referees available to provide recommendations at a later stage of the application process,

  6. list of publications, 

  7. three most relevant publications of the candidate, provided as PDFs in the application system.

  For candidates applying with artistic or design merits, we ask to submit an URL to a portfolio demonstrating cases relevant for the call.

  If you are already working at Aalto University please apply internally via Workday HR-system.

  Further Information

  Please contact Professor Antti Oulasvirta or in recruitment process related questions HR Coordinator Laura Kuusisto-Noponen; emails firstname.lastname@aalto.fi.

  Why Aalto University?

  The university offers assistance with the relocation process for applicants selected to our tenure track positions, including finding housing and kindergartens / schools. Aalto University has six schools with nearly 11 000 students and nearly 400 professors committed to building both foundations and innovative applications that shape the future through science, technology, art, and business. There are also excellent opportunities for collaboration with local partners at both Aalto University and the University of Helsinki.

  In addition to its strong academic community, the Helsinki region is a vibrant technology and innovation hub with easy access to major partners both private and public. The Otaniemi Campus of Aalto University is 15 minutes from the center of Helsinki by metro. The Helsinki International Airport (HEL) is one of the air traffic hubs between Europe and Asia, with direct flights to a large number of destinations on both continents. Virtual campus tour at the Aalto University campus: https://virtualtour.aalto.fi/. More information about Helsinki: https://welcome.helsinki/#/ 

  Finland tops international rankings in education, equality, safety, and quality of life. Finland is one of the most technologically advanced countries in the world; design, creativity, and startup culture are also important. Finland currently ranks at the top of venture capital investments relative to GDP in Europe. Finland is a great place for living with or without family. It is a safe, politically stable and well-organized Nordic society, where equality is highly valued and corruption is low. Extensive social security supports people in all situations of life, and Finland’s free high-quality education system is internationally acknowledged. In Finland, a low level of hierarchy is a cultural asset in working life and society. Finland has been ranked as the happiest country in the world in 2018 - 2021 according to the World Happiness Report (https://worldhappiness.report/).

  More information about living in Finland:

  https://www.aalto.fi/en/services/why-finland 

  https://www.infofinland.fi/en/frontpage 

  More about Aalto University:

  Aalto.fi
  twitter.com/aaltouniversity  
  facebook.com/aaltouniversity
  instagram.com/aaltouniversity

A 3-year PhD scholarship is available at the Center for Fast Ultrasound Imaging (CFU), Department of Health Technology (DTU Health Tech) from December 2021 sponsored by the European Research Council (ERC) and the Department of Health Technology at DTU. It is conducted in collaboration between CFU and the MEMS group at DTU Health Tech, the University of Copenhagen, and the Copenhagen University Hospital (Rigshospitalet) in the ERC Synergy Grant “3-D Super resolution Ultrasound Real time imaging of Erythrocytes” - SURE.

The SURE project develops and researches a new super resolution ultrasound imaging method capable of resolving 3-D capillary flow in the human body. The approach tracks the motion of the individual red blood cells (erythrocytes) in a three-dimensional volume for a full visualization of anatomy, flow, and perfusion. The approach can potentially yield a paradigm shift in the scientific study, diagnoses, and treatment of cancer, diabetes, and vascular diseases at the capillary level, as it enables the possibility of volumetrically visualizing capillary perfusion in real-time at frame rates above 20 Hz without injection of contrast agents.

Responsibilities and qualifications

This PhD project develops real time processing of the acquired data using GPUs.

The research is conducted in a truly multi-disciplinary environment consisting of the four academic partners specializing in advanced ultrasound imaging, silicon CMUT probes, animal experiments, and clinical investigations, and the main purpose is to translate the SURE method from a research idea to the clinic.

The main task is to translate the Matlab based SURE processing framework to a real-time implementation using GPUs. Data from the scanners are acquired at several Gbytes per second, and this should be beamformed and processed by a GPU cluster in real time. The overall goal is to speed up research and finally present the SURE volume in real time. The processing pipeline will be based on our current matrix GPU beamformer, which will be optimized and integrated with a GPU implementation of the SURE processing framework. 3-D visualization will also be conducted by the GPUs to make it easy to navigate the 3-D volumes, which often contain more than 100 Gbytes of data. The full scheme will be implemented on our Verasonics research scanners and on a Nvidia GPU cluster for use in human trials conducted together with the Department of Radiology at Rigshospitalet, where real-time performance and usability will be highly important.

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Experience with high performance computing and/or GPU programming and digital signal processing is desirable.

Approval and Enrolment

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.

Further information

Further information is available at www.cfu.dtu.dk or from Professor Jørgen Arendt Jensen, tel: +45 4525 3924, e-mail: jaj@elektro.dtu.dk.

You can read more about DTU Health Tech on www.healthtech.dtu.dk/english and about CFU at www.cfu.dtu.dk/. 

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application

Your complete online application must be submitted no later than 7 October 2021 (local time).

Apply online here:
PhD scholarship in GPU processing for Super Resolution Ultrasound Imaging

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter)
• Curriculum vitae
• Grade transcripts and BSc/MSc diploma
• Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions. DTU Health Tech creates the foundation for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to our research infrastructure and related commercial activities.

Technology for people

DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

A 3-year PhD scholarship is available at the Center for Fast Ultrasound Imaging (CFU), Department of Health Technology (DTU Heath Tech) from December 2021 sponsored by the European Research Council (ERC) and the Department of Health Technology at DTU. It is conducted in collaboration between CFU and the MEMS group at DTU Health Tech, the University of Copenhagen, and the Copenhagen University Hospital (Rigshospitalet) in the ERC Synergy Grant “3-D Super resolution Ultrasound Real time imaging of Erythrocytes” - SURE.

The SURE project develops and researches a new super resolution ultrasound imaging method capable of resolving 3-D capillary flow in the human body. The approach tracks the motion of the individual red blood cells (erythrocytes) in a three-dimensional volume for a full visualization of anatomy, flow, and perfusion. The approach can potentially yield a paradigm shift in the scientific study, diagnoses, and treatment of cancer, diabetes, and vascular diseases at the capillary level, as it enables the possibility of volumetrically visualizing capillary perfusion in real-time at frame rates above 20 Hz without injection of contrast agents.

Responsibilities and qualifications

This project investigates methods for processing ultrasound data based on deep learning for super resolution imaging. It further develops deep learning algorithms for isolating point targets, for tracking and visualizing them, and for estimating their velocity in 2D and 3D. The algorithms should be adapted to data from row-column arrays for 3D imaging and implemented for real time processing. The training and processing will be conducted on our latest GPU cluster based on the Nvidia Volta chip.

The research is conducted in a truly multi-disciplinary environment consisting of the 4 academic partners specializing in advanced ultrasound imaging, silicon CMUT probes, animal experiments, and clinical investigations, and the main purpose is to translate the SURE method from a research idea to the clinic.

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Experience with digital signal processing is desirable. Similarly, knowledge of medical imaging and acoustics will also be beneficial.

Approval and Enrolment

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.

Further information

Further information is available at www.cfu.dtu.dk or from Professor Jørgen Arendt Jensen, tel: +45 4525 3924, e-mail: jaje@dtu.dk.

You can read more about DTU Heath Tech on www.healthtech.dtu.dk/english and about CFU at www.cfu.dtu.dk/

Application

Your complete online application must be submitted no later than 7 October 2021 (local time).

Apply online here:
PhD scholarship in Deep Learning for Super Resolution Ultrasound Imaging.

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter)
• Curriculum vitae
• Grade transcripts and BSc/MSc diploma
• Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions. DTU Health Tech creates the foundation for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to our research infrastructure and related commercial activities.

Technology for people

DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.