Machine Learning for Signal Processing

The cluster of excellence Hearing4all (https://hearing4all.eu/EN/) at the Carl von Ossietzky Universität Oldenburg, Germany, is seeking to fill the position of a

Research Associate (m/f/d)

in the Signal Processing Group (https://uol.de/en/mediphysics-acoustics/sigproc) at the Department of Medical Physics and Acoustics.

The position is available from May 1, 2020 until October 31, 2022, with a possible extension for 3 years. Salary will be according to TV-L E13 (100 %). The position is suitable for part-time work.

In the framework of the cluster of excellence Hearing4all the successful candidate is expected to contribute to the research goals of Research Thread II "IT-based diagnostics and rehabilitation" by developing and evaluating individualized signal processing solutions for virtual and real hearing devices. More in particular, in the envisaged project the main objective is to automatically optimize the parameter settings of acoustical signal processing algorithms for the individual user based on machine learning.

Candidates are required to have an academic university degree (Master or equivalent) in hearing technology and audiology, electrical engineering, physics or a related discipline, and have shown their ability to perform excellent scientific work, typically demonstrated by the outstanding quality of their doctoral thesis and an excellent publication record. We are seeking candidates with extensive knowledge in at least two of the following research fields: speech/audio signal processing, machine learning and auditory perception. In particular, for the envisaged project experience with hearing aid algorithms is beneficial. Excellent programming (e.g. Matlab, python), English language skills and experience with subjective listening experiments are mandatory.

The Carl von Ossietzky Universität Oldenburg is dedicated to increasing the percentage of women in science. Therefore, equally qualified female candidates will be given preference. Applicants with disabilities will be preferentially considered in case of equal qualification.

Please send your application (ref. SP194) including a letter of motivation, curriculum vitae, list of publications and a copy of the university diplomas and grades to Carl von Ossietzky Universität Oldenburg, Fakultät VI, Abt. Signalverarbeitung, Prof. Dr. Simon Doclo, 26111 Oldenburg, Germany, or electronically to simon.doclo@uni-oldenburg.de. Application by email is preferred.

The application deadline is 07.03.2020.

(http://gtts.ehu.es), University of the Basque Country, Spain

Applications are welcome for one graduate (Pre-Doc) research contract for the study, development, integration and evaluation of machine learning software tools, and the production of language resources for ASR tasks. The contract will be funded by an Excellence Group Grant by the Government of the Basque Country. Initially, the contract is for 3 months but, if performance is satisfactory, it will be extended at least to one year –or even more, depending on the available budget–, with a gross salary of around 30.000 euros/year. The workplace is located in the Faculty of Science and Technology (ZTF/FCT) of the University of the Basque Country (UPV/EHU) in Leioa (Bizkaia), Spain.

PROFILE

We seek graduate (Pre-Doc) candidates with a genuine interest in computer science and speech technology. It will be required knowledge and skills in any (preferably all) of the following topics: machine learning (specifically deep learning), programming in Python, Java and/or C++ and signal processing. A master's degree in scientific and/or technological disciplines (especially computer science, artificial intelligence, machine learning and/or signal processing) will be highly valued. All candidates are expected to have excellent analysis and abstraction skills. Experience and interest in dataset construction will be also a plus.

RESEARCH ENVIRONMENT

The Faculty of Science and Technology (ZTF/FCT) of the University of the Basque Country (https://www.ehu.eus/es/web/ztf-fct) is a very active and highly productive academic centre, with nearly 400 professors, around 350 pre-doc and post-doc researchers and more than 2500 students distributed in 9 degrees.

The research work will be carried out at the Department of Electricity and Electronics of ZTF/FCT in the Leioa Campus of UPV/EHU. The research group hosting the contract (GTTS, http://gtts.ehu.es) has deep expertise in speech processing applications (ASR, speaker recognition, spoken language recognition, spoken term detection, etc.) and language resource design and collection. If the candidate is interested in pursuing a research career, the contract would be compatible with master studies on the topics mentioned above or even a Ph.D. Thesis project within our research group, and further financing options (grants, other projects) could be explored.

The nearby city of Bilbao has become an international destination, with the Guggenheim Bilbao Museum as its main attractor. Still, though sparkling with visitors from worldwide, Bilbao is a peaceful, very enjoyable medium-size city with plenty of services and leisure options, and mild weather, not so rainy as the evergreen hills surrounding the city might suggest.

APPLICATION

Applications including the candidate's CV and a letter of motivation (at most 1 page) explaining their interest in this position and how their education and skills fit the profile should be sent by e-mail –using the subject "GTTS research contract APPLICATION ref. 1/2020"– to Germán Bordel (german.bordel@ehu.eus) by Wednesday, January 29, 2020. The contract will start as soon as the position is filled.

• The Henry Samueli School of Engineering - Biomedical Engineering

Recruitment Period

Description

The UCI Department of Biomedical Engineering (BME) in the Henry Samueli School of Engineering is recruiting a highly motivated and creative individual for a postdoctoral scholar position with a focus on applications of artificial intelligence in cardiac MRI. The projects at Kheradvar research Group (KLAB) are at the intersection of engineering, mathematical sciences, clinical cardiology, cardiothoracic surgery, and developmental biology. The candidate will be working on a joint project between Prof. Kheradvar and Prof. Jafarkhani (the UCI’s Center for Pervasive Communications and Computing (CPCC).

The desired candidates must have:
• Machine Learning & AI Experience
• Signal Processing/ Image Processing knowledge
• Understand Python architecture - must have a basic understanding of code primarily python.
• Experience working in a team as a dev or the team mind set in an Agile Environment
• Must understand AI algorithms so (coding & Math) at a level to DESIGN new algorithms
• Must be up to date with AI Architecture
• Plus: Experience in MRI
• Plus: Web developer experience

Requirements: Ph.D. in electrical engineering, biomedical engineering, computer science/engineering, physics, mathematics, statistics, or related fields. Ability to work well with a diverse group of scientists. Excellent oral and written communication skills.

The initial appointment for this position will be for 1 year with potential for renewal. Salary is commensurate with qualifications and years of experience. NIH scale will be used to determine salary, and a generous benefits package is provided per the university policies. Note: Total duration of an individual’s postdoctoral service may not exceed five years, including postdoctoral service at other institutions.

Application Procedure: Applicants will need to upload curriculum vitae, name/addresses of at least three references and cover letter expressing area(s) of interest to our online RECRUIT system at https://recruit.ap.uci.edu/apply/JPF05862

Screening will begin on January 3, 2020 and continue until position is filled.

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

Job location

Learn More

Requirements

• Curriculum Vitae - Your most recently updated C.V.

• Cover Letter - Express areas of interest.
  (Optional)

• Misc / Additional (Optional)

• 3 required (contact information only)

Are you passionate about solving big scientific problems in education through innovative technology and working in a highly multi-disciplinary collaborative environment? Would you like to know more about how computer vision, affective computing and machine learning are helping create new forms of learning and assessment tools? If this sounds intriguing, then we'd like to talk to you about a role as part of a new ACTNext, ACT R&D team tackling a set of problems requiring significant innovation.

Responsibilities

This position is located in Denver, Colorado or Iowa City, Iowa; but can also be filled remotely.

ACTNext, ACT's R&D arm, has an opening for a Principal NLP Research Scientist in the AI and Machine Learning group. This newly established group is pursuing cutting edge multidisciplinary research in creating a new generation of learning and assessments targeting modern educational paradigms including adaptive learning, educational content development, educational games and various forms of behavioral and in vivo assessments. We are conducting research on using rich multi-sensory data including audio and video and recent advances in NLP, computer vision, affective computing, psychometric analysis and cognitive science to build some of most advanced dynamic models for educational assessment in authentic, real-world scenarios. This is an excellent opportunity to be a part of a research and development team and make an impact with innovative education technology.

ESSENTIAL JOB RESPONSIBILITIES

Typical work-related activities include: 

• Identify, lead, pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate and design creative solutions to challenging problems. Successful candidates are self-motivated and self-driven.
• Drive and/or participate in cutting edge research in language technologies, multimodal analytics and ground breaking innovations in education technology.
• Apply scientific knowledge to analyze data, perform statistical analyses, identify problems, devise solutions and construct methodologies, including metrics and best practices, and conduct experiments to validate these.
• Impact product development while working on and further developing a long-term research roadmap.
• Identify, lead and/or participate in dissemination activities through the publications of research papers in peer review journals

Qualifications

Education: 

• Master's degree in Computer Science, Computational Linguistics or related field required
• PhD desirable
• Or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired 

Experience:

Principal Level

• A minimum of 10 years of progressively responsible experience that includes multigenerational research
• Extensive experience using cloud computing for machine learning and deep learning frameworks such as AWS SageMaker, TensorFlow, PyTorch, Keras, etc.
• Expertise in machine learning, deep learning (RNNs, LSTM, CNN etc.), evaluation and / or optimization techniques
• Expertise in coding and software development utilizing Python and or R, Java, C, C++
• Experience in educational simulations and games are a plus 

Knowledge, Skills and Abilities:

• Strong knowledge of speech, and natural language processing as it relates to machine and deep learning
• Publication record in the top-tier international research venues in NLP, Machine Learning, Computer Vision and related areas
• Results-oriented, innovative, self-motivated and self-driven
• Possess solid hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data
• A passion for making sense of user behavior, using any available methods
• Creative problem-solver, passionate about digging into complex problems and devising new approaches to reach results
• Demonstrated ability to work independently and as part of a team
• Strong communication and presentation skills required
• Demonstrated ability to lead initiatives, influence others and drive change
• Demonstrated ability to build relationships and work collaboratively
• Ability to coach and mentor others

• In this project we will develop new AI systems that allow bringing the reasoning closer to how a human learns and reasons about the world. More specifically, we will target the following key characteristics where humans perform better at than traditional AI systems: 
  - humans can cope much better with hierarchical information structure;
  - humans are able to learn much faster and better from limited data, often exploiting previous knowledge;
  - humans are able to perform much more complex reasoning and go beyond simple pattern matching.
• We are looking for a Master in Mathematics, Computer Science or Engineering with expertise or interest in image processing and machine learning in particular. Coding skills are required.
• Interested candidates should submit a cover letter detailing background and interest in this position, a full C.V. and information about grades during each Bachelor and Master year via email to Ann.Dooms@vub.be before 1st of November 2019.

At Aalborg University two fully funded PhD stipends are now available on the project “Effortless Hearing in Noise by Brain Feedback”. 

One of the most common complaints among hearing aids users is the mental fatigue they undergo after relatively short conversations in noisy situations due to increased levels of listening effort. The overall goal of this research project is to develop a new concept of hearing assistive devices that continuously monitor the brain activity, and adapts the signal processing in the hearing assistive devices in order to minimize the listening effort. The project combines signal processing and auditory neuroscience and include theoretical and experimental research:

• Signal processing algorithms for extracting correlates of listening effort from electroencephalography (EEG).
• Research involving aspects of neuroscience that relates to the functional connectivity of the brain in response to natural speech.
• Acoustically controlled experiments with portable EEG devices in anechoic chambers where real-life acoustic environments can be simulated using arrays of loudspeakers.
• Speech enhancement algorithms that minimize the listening effort.

The project is fully funded by The Independent Research Fund Denmark under the project entitled “Effortless Hearing in Noise by Brain Feedback”. 

The project is a collaboration between the Department of Electronic Systems and the Department of Health, Science and Technology, at Aalborg University, and there will be collaboration with international universities and industry. 

To apply for the positions, please use the following links:
• PhD 1: Acoustic Signal Processing for Minimizing Listening Effort Using Brain Feedback (https://www.vacancies.aau.dk/show-vacancy/?vacancy=1065107)

• PhD 2: Cortical Characterization of Listening Effort (https://www.vacancies.aau.dk/show-vacancy/?vacancy=1065182)

You may obtain further information from Professor (MSO) Jan Østergaard, Department of Electronic Systems, phone: +45 99408693, email: jo@es.aau.dk, or Professor Ole Kæseler Andersen, Department of Health Science and Technology, phone: +45 9940 8816, email: oka@hst.aau.dk concerning the scientific aspects of the stipend. 

Aalborg University wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

We are looking to hire a motivated post-doc to work on machine learning and data analytics. The candidate must have a strong background in machine learning, AI, signal processing, optimization methods, probability, and statistics. The candidate must have a Ph.D. in relevant fields.

Required:

• Ph.D. in Electrical Engineering, Computer Science, Statistics or other related fields.
• Solid Mathematical skills.
• Experience in implementing algorithms for machine learning and data analytics.
• English: Fluent speaking/writing skills

Job Responsibilities:

• Develop ML algorithms for inference in networks, including IoT and vehicular networks.
• Perform software/hardware implementation and empirical studies.
• Help to supervise graduate students and contribute to proposal writing.

Interested candidates please send your CV/resume to: wptay@ntu.edu.sg

Only shortlisted candidates will be notified for interview.

We are looking to hire a motivated post-doc to work on machine learning and data analytics in signal processing. The candidate must have a strong background in machine learning, AI, signal processing, optimization methods, probability, and statistics. The candidate must have a Ph.D. in relevant fields.

Required:

• Ph.D. in Electrical Engineering, Computer Science, Statistics or other related fields.
• Solid Mathematical skills.
• Experience in implementing algorithms for machine learning and signal processing.
• English: Fluent speaking/writing skills

 Job Responsibilities:

• Develop ML algorithms for inference in networks, including IoT and vehicular networks.
• Perform software/hardware implementation and empirical studies.
• Help to supervise graduate students and contribute to proposal writing.

Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects.

About the position:

We have a vacancy for a PhD Research Fellow position at the Department of Electronic Systems (IES). The PhD position is for up to 4 years with 25% work assignments for NTNU IES.

Job description:

In the emerging paradigms of CPS and IoT, large quantities of data are constantly collected by multiple sensors to enable accurate inference and smart decision making. The collected data may reveal more information than required because the sensors observe multiple correlated processes. In addition, stringent limitations on IoT sensors often preclude cryptography-based data security, which makes the system vulnerable various types of physical-layer attacks, e.g., data falsification and replay attacks. Examples include unauthorized drone tracking and steering, and data falsification in autonomous transport systems. In summary, to realize the full potential promised by IoT, developed solutions need to incorporate more realistic environments and time-critical constraints to ensure privacy-preserving and attack-resilient network operation.

The aim of this project is to design and analyze advanced distributed signal processing and optimization approaches to overcome security and privacy challenges faced by future CPS/IoT, where traditional methods fail to prevent attacks and loss of privacy. The PhD candidate will be affiliated with NTNU IoT lab, and have the opportunity to visit and collaborate with research scientists from SINTEF, University of Notre Dame, USA and Syracuse University, USA.

Qualification requirements:

We seek a highly-motivated individual who has

• strong background in mathematics, communications, and statistical signal processing
• research-oriented master thesis in a related field, e.g., statistical signal processing, information theory, statistical machine learning, multi-agent networked systems, applied mathematics, or optimization
• experience with programming
• good written and oral English language skills

Salary and conditions:

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 479 600 per annum before tax. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

For more information and application submission, please follow the link:
https://www.jobbnorge.no/en/available-jobs/job/174696/phd-position-in-distributed-signal-processing-for-resilient-iot-cps

Immediate opening for a postdoctoral researcher in radionavigation and wireless communication systems at the Autonomous Systems Perception, Intelligence, & Navigation Laboratory (https://aspin.ucr.edu); University of California, Irvine (https://uci.edu).

Desired qualifications: (1) Ph.D. in Electrical and Computer Engineering, Aerospace Engineering, or a closely related field; (2) knowledge of wireless communications and/or GNSS; (3) demonstrated hands-on expertise in software-defined radio (SDR) design and implementation; (4) strong programming skills (MATLAB, LabVIEW, and/or C++); (5) publications in relevant top-tier journals and conference proceedings; (6) strong communication, presentation, and documentation skills; and (7) ambition to become a leader in the field (e.g., Professor, Senior R&D Engineer, Managing Technical Director, Program Manager, etc.). To apply, please email me: (1) a complete CV, (2) up-to-date university transcripts, (3) a short statement describing research interests and goals, (4) names and contacts of 3 references, and (5) a link to your website (if available). Position duration: minimum of 1 year, extendable up to 3 years.