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🎓 PhD position in Development of vibrational technique for solicitation, measurement and interpretation to characterize the interactions between components of a complex structure in an extreme environment: Evaluation of their application to measurement in t, Aix-Marseille Université, #France

📚 Fields: #InstrumentationEngineering #MechanicalEngineering #Mechanics #FluidDynamics #NuclearPhysics #FluidMechanics

⏳ Deadline: 2022-06-30

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🎓 Faculty Positions in Mechanical Engineering 2021/22, King Abdullah University of Science and Technology (KAUST), #SaudiArabia

📚 Fields: #MaterialsEngineering #Mechatronics #Robotics #MechanicalEngineering #FluidDynamics

⏳ Deadline: 2022-06-30

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🎓 PhD Student - Department of Information Technology, Ghent University, #Belgium

📚 Fields: #Algorithms #ComputerCommunicationsNetworks #CommunicationEngineering #TelecommunicationsEngineering #ElectricalEngineering #SignalProcessing #Electronics

⏳ Deadline: 2022-07-01

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🎓 Postdoc: Quantum Acoustics, AMOLF, #Netherlands

📚 Fields: #QuantumPhysics #Photonics

⏳ Deadline: 2022-07-28

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🎓 Upcoming PhD Calls at Cologne Graduate School of Ageing Research, Cologne Graduate School of Ageing Research (CGA), #Germany

📚 Fields: #Biotechnology #Bioinformatics #StructuralBiology #MolecularBiology #Microbiology #Genetics #CellBiology #HumanBiology #SystemsBiology #DevelopmentalBiology #BiomedicalEngineering #Biomedicine #Biochemistry #ChemicalBiology #Biophysics

⏳ Deadline: 2022-08-31

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Fully-funded PhD studentships in Robotics - University of Nottingham

Dear colleagues,

We have several fully funded PhD studentships at the University of Nottingham for outstanding graduates with strong interest in robotics, machine learning/perception, and human-robot interaction.

There are two different funding routes for applications, and the application process require the candidates to prepare a short research proposal, so if interested, please discuss with me prior to applying. Applications skipping this step will not be considered.

In order to initiate the discussion, please send an Expression of Interest to [email protected] in PDF format, clearly mentioning the reference to the position in the subject (SCI2041 or Horizon). The application document should include:
1) cover letter
2) your CV and relevant links (Github, website etc.)
3) your transcript

School of Computer Science PhD Scholarship (SCI2041):
Funding for: International, 3.5 years
Closing Date: 13 February 2022
Funding amount: Stipend of minimum £15,009 p.a. and tuition fees
Information: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI2041

Topic: Variable autonomy and explainable planning in human-robot interaction
Summary: Full automation in robotics is currently not possible in many application domains (e.g. healthcare and assisted mobility, extreme environments) due to the complexity and variety of tasks, and the unpredictable nature of the world and the human behaviours sharing the space. As a result, robots still require human help in human environments (e.g. think of your robot vacuum cleaner, which continuously needs your help while trying to complete the relatively easy cleaning task). In doing so, the robot needs to be employed with good mechanisms to switch in between autonomy levels, which are ideally defined on a continuous scale, as well as finding good ways to communicate its plans to nearby humans.
The aim of this PhD project is to 1) learn how to perform efficiently with/around humans through task and motion planning, 2) equip robots with multimodal communication tools to convey states and decisions, so that their operation is explainable, and 2) develop fluent arbitration mechanisms for adopting appropriate levels of autonomy through perception and decision making. Complex real-life application scenarios will be studied in this project, such as interacting with health personnel or patients in a hospital ward, or inspection in complex workplace environments.

Horizon CDT Scholarships (Horizon):
Funding for: International, 4 years
Funding amount: Enhanced stipend £17,600 p.a. and tuition fees
Closing date (International applicants): 15 December 2021
Closing date (UK applicants): 4 January 2022
Information: https://cdt.horizon.ac.uk/apply/how-to-apply/

Topic: The use of Artificial Intelligence and Robotics in Live Creative Installations
Summary: With robotics technologies becoming more affordable and accessible, there is a growing interest from creative industries to involve robotics in live installations. The Thingamabobas is an example of such an installation we developed in collaboration with the Makers of Imaginary Worlds (MOIW). However, there are many challenges, as well as opportunities, when working with robotic installation art. Especially, there is a strong need for research to enable technological capabilities to improve the entire audience experience through an artistic lens. This PhD project aims to build socially intelligent robotic installations by 1) developing artificial intelligence methods to create robotic installations, which are easy to configure by artists, 2) implementing adaptive robot behaviours that respond to changing audience states, such as engagement, boredom, attention, in order to enhance interaction through cognitive and user modelling, and 3) evaluating the developed techniques in real-world installations with real audiences.

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----
Requirements:
A first-class or upper second-class BSc or MSc degree (or equivalent) in Computer Science, Engineering or a related subject (essential). Individuals with significant relevant non-academic experience are encouraged to apply.
Excellent programming skills in C++ and/or Python
Experience in robot programming and relevant tools (e.g. ROS, Gazebo, PyBullet)
Understanding of motion planning and control
Machine learning
Experience in conducting user studies
Commitment to applying your research to real robotic systems interacting with real humans in challenging environments
Selected candidates will take advantage of extensive training and career development opportunities and will benefit from excellent support to produce and disseminate original research contributions at leading international venues. The role also offers the opportunity to engage in international collaborations, as well as working within an ambitious and diverse team of robotics and AI researchers at a top UK university. The candidate will have access to state-of-the-art equipment, software, and research facilities in the Cobot Maker Space, including research space and several robots (including Franka Emika, Haption Virtuose, UR3, Geomagic TouchX, Turtlebots, LoCoBot, Ohmni/Double telepresence robots, robotic wheelchair), computer vision equipment, physiological sensors, as well as dedicated data storage and competitive computational facilities suitable for doing world-leading research in machine learning.

----------------------------------------------
Dr Ayse Kucukyilmaz
Assistant Professor of Robotics
School of Computer Science
University of Nottingham

This message and any attachment are intended solely for the addressee
and may contain confidential information. If you have received this
message in error, please contact the sender and delete the email and
attachment.

Any views or opinions expressed by the author of this email do not
necessarily reflect the views of the University of Nottingham. Email
communications with the University of Nottingham may be monitored
where permitted by law.
✔️ @ApplyTime

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Funded PhD position in Developmental Psychology/Psychopathology at North Dakota State University

Dear colleagues,

(apologies for cross-posting)

I am looking to recruit a PhD student for Fall 2022. Please share the information below with anyone that may be interested. Thank you!

The Emotion, Neuroscience, and Development Lab (PI: Dr. Pan Liu) in the Department of Psychology at North Dakota State University (NDSU) is looking to recruit a PhD student for Fall 2022. Our Lab takes an interdisciplinary, multi-method approach to understanding the neurocognitive mechanisms associated with socio-emotional processing and development in children and adolescents. A current emphasis in the lab is to study how cognitive vulnerabilities, via interaction with other individual and environmental factors, predict the development of internalizing psychopathology (anxiety and depression) in youth. We use behavioral, EEG/ERP, and eye-tracking measures to tackle these questions.

The Psychology PhD program at NDSU offers a full tuition waiver and a stipend through teaching assistantship. The student will have full access to the resources at the Center for Visual and Cognitive Neuroscience at NDSU, including a variety of equipment (EEG, eye-tracking, fNIRS, TMS), data storage/analysis infrastructure, dedicated technical support and technical training (programming, data analysis, etc.). They will also have plenty of opportunities to interact and collaborate with other areas in Psychology (Visual/Cognitive Neuroscience, Social/Health Psychology) as well as other departments at NDSU (e.g., Human Development and Family Science).

The application deadline is January15, 2022. GRE is not required for this round of application. The application fee at NDSU is as low as $35 (exempted for McNair Scholars). NDSU is a land-grant public research university located in Fargo, a friendly and low-cost-of-living city. More information about the program and the application procedure can be found here. Please contact Dr. Liu ([email protected]) first if interested in applying.

--

Pan Liu, PhD
Assistant Professor

Department of Psychology

North Dakota State University

701-231-5676

134D8 Minard Hall, 1210 Albrecht Blvd, Fargo ND 58102

Adjunct Research Professor

Department of Psychology

Western University

https://sites.google.com/view/panliu

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Google

Pan Liu, Ph.D.

Dr. Pan Liu is an Assistant Professor of Psychology at North Dakota State University (NDSU) and the director of the Emotion, Neuroscience, and Development Lab (The E.N.D. Lab). Trained as a developmental cognitive neuroscientist and developmental psychopathologist…

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PhD position at DTU, Copenhagen

Hi all,

We have an open PhD position in basic machine learning at the Center for Basic Machine Learning Research in Life Science (mlls.dk) in Copenhagen. Emphasis is on representation learning for protein sequences.

https://www.compute.dtu.dk/om_os/ledige_stillinger/job?id=35b0a858-1b8d-4bac-9799-5018eec1546f

== Who are you? ==
Curiosity, motivation, and an easy going personality. Those are key characteristics that we look for in a candidate. The projects we work on take inspiration from many diverse communities, so you will most likely only be familiar with some aspects of the projects before you start. Consequently, there is no "right" educational background, though we expect experience in a machine learning related field. Remember, if you're a great candidate, then we will adapt the project to fit you.

== Who are we? ==
The Center for Basic Machine Learning Research in Life Science (mlls.dk) is headed by Ole Winter, Anders Krogh, Aasa Feragen, Wouter Boomsma, Jes Frellsen and Søren Hauberg. We conduct the basic machine learning research needed to estimate representations of biomedical data that are robust, interpretable, data efficient, reflective of inherent data uncertainty, and able to leverage existing knowledge.

== Where? ==
You'll be working in the intersection of the University of Copenhagen and the Technical University of Denmark. Both salary and working conditions are excellent. The center is a down-to-earth and fun place to be. Most group members live in Copenhagen which is often named as the best city in the world to live, and for good reasons. Copenhagen is really nice! It's world renowned for food, beer, art, music, architecture, the Scandinavian "hygge", and much more. Parental leave is generous and child-care is excellent and cheap.

Cheers
Søren
✔️ @ApplyTime

https://www.compute.dtu.dk

PhD scholarship in Representation Learning

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Multiple Post-Doctoral Fellowships - Computer Vision in Digital Health
https://wvu.taleo.net/careersection/faculty/jobdetail.ftl?job=18208&tz=GMT-04%3A00&tzname=America%2FNew_York

Postdoctoral Fellow - Lane Department of Computer Science and Electrical Engineering, Statler College- 18208 – West Virginia University - (Multiple Positions)

Description

The Lane Department of Computer Science and Electrical Engineering of the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University invites applications for multiple Postdoctoral Fellow positions to work with researchers at the West Virginia-Arkansas Center for Research and Education in Smart Health (WVAR-CRESH). WVAR-CRESH is a key part of a recent large NSF funding to enhance collaboration between researchers in West Virginia and Arkansas on problems in healthcare. The long-term goal of the collaboration is to improve health and well-being by accelerating decision making for smart health applications, through the development and application of advanced artificial intelligence (AI) techniques, exploiting the available massive heterogeneous biomedical datasets. Activities under this collaboration will lead to improved workforce development in leading-edge technology areas of data science, AI, and smart health. For more information about WVAR-CRESH, please visit https://community.wvu.edu/~daadjeroh/projects/cresh/.

We are searching for candidates with a strong background in computer vision, deep learning, applied mathematics, and biomedical image analysis, especially ultrasound images. The center is focused on developing new algorithms and techniques that use advances in AI and machine learning to analyze different types of biomedical data. Emphasis is on cardiovascular health (especially on the analysis of cardiac images, such as echocardiographs, MRI, CT images, etc), health disinformation, and privacy preserving health data analytics.

The Postdoctoral Fellows will conduct research on one or more of the topics above. Together with the project team members, the Postdoctoral Fellows will have the opportunity to determine the specific direction of their research project within the scope of the collaborative projects in the center, depending on their interests.

Qualifications

The successful candidate must have a PhD in computer science, electrical engineering, computer engineering, biomedical engineering, applied mathematics, physics or a related field. Familiarity with machine learning/deep learning/data analytics is a requirement and proficiency in scientific computing using one or more of the major programming languages/environments (python, PyTorch, Matlab, C/C++, or R) is essential.

West Virginia University is the State’s comprehensive Land Grant University with an enrollment of about 29,000 students and a R1 Carnegie Classification. Morgantown and its vicinity have a diverse population of about 62,000 residents and are ranked highly among the most livable small cities in the country. The community lies within a high technology corridor that also includes several federal research facilities, as well as industries active in shale gas operations. The city is readily accessible and within driving distance from Pittsburgh, PA and Washington, DC. For more information on WVU and Morgantown, see https://www.wvu.edu and https://www.morgantownwv.gov. The Lane Department of Computer Science and Electrical Engineering has 30 faculty members and approximately 500 undergraduate and 160 graduate students.

To apply for this position, visit www.jobs.wvu.edu. Applicants must submit a cover letter, curriculum vitae, and contact information for two professional references. Only applicants who submit complete documentation will be considered in the review process. For further questions or additional information, please contact Dr. Don Adjeroh via email [email protected] or Dr. Gianfranco Doretto via email [email protected].

wvu.taleo.net

Postdoctoral Fellow - Lane Department of Computer Science and Electrical Engineering, Statler College

Click the link provided to see the complete job description.

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West Virginia University is an Equal Opportunity/Affirmative Action Employer and the recipient of an NSF ADVANCE award for gender equity. The University values diversity among its faculty, staff and students, and invites applications from all qualified individuals, including minorities, females, individuals with disabilities, and veterans.

Interested in applying? Please follow this link

https://wvu.taleo.net/careersection/faculty/jobdetail.ftl?job=18208&tz=GMT-04%3A00&tzname=America%2FNew_York

Questions? Please contact any of the following

Don Adjeroh, PhD
Lane Dept. Computer Science & Electrical Engineering
West Virginia University
Morgantown, WV 26506
[email protected]

https://community.wvu.edu/~daadjeroh/

Gianfranco Doretto, PhD
Lane Dept. Computer Science & Electrical Engineering
West Virginia University
Morgantown, WV 26506
[email protected]

https://vision.csee.wvu.edu

https://vision.csee.wvu.edu/~doretto/

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Postdoctoral Fellow - Lane Department of Computer Science and Electrical Engineering, Statler College

Click the link provided to see the complete job description.

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Three Deep learning and Computer Vision Postdoc Positions Jointly Supervised in Aristotle University of Thessaloniki, Greece and Henan University, China
Position Description

Three postdoctoral positions are immediately available at the Data Science and Artificial Intelligence Team/Lab, Henan University; the postdoc fellows will be co-supervised by Prof. Ioannis Pitas from Aristotle University of Thessaloniki, Greece.

The postdoc fellows can stay 4-5 months with Prof. Ioannis Pitas at Aristotle University of Thessaloniki, Greece; but they should stay in China for at least 7-8 months per year.

Position Location

The postdocs will be paid by Henan University, China. They will stay in Aristotle University of Thessaloniki (4-5 months), Thessaloniki, Greece, and Henan University (7-8 months), Kaifeng, China

Subject Areas

Deep learning and Computer Vision, including but not limited to Object Detection/Recognition, Region Segmentation and related topics.

Salary

1800~2200 EUR net per month.

Application Deadline

December 31st, 2022

Duration of the contract

The duration of the contract is 24~36 months, and can be extended up to 48 months.

Salary

a) The monthly net income of the Postdoctoral researcher is around 1800~2200 EUR (after taxes being deducted), paid by Henan University.

b) Additionally, the University will provide a total amount of 100,000 RMB as the candidate's research funding, which can be used for research purposes such as conferences, traveling, meetings, etc. Note: This research funding is once for all, not per year.

Note: The Living expenses in Kaifeng is relatively low. For instance,

Accommodation cost (two bedrooms, one living room) in Kaifeng is about 150~200 EUR per month. Food cost in KaiFeng is about 100-150 EUR per month.

Requirements/Qualifications

1. The successful candidates should hold a PhD degree in machine learning, or computer vision/pattern recognition, or other related fields.

2. At the time of appointment, the applicants must be no more than 35 years old in age.

3. The applicants should have good publication records in the above-mentioned fields.

About Aristotle University of Thessaloniki, Greece

Artificial Intelligence and Information Analysis Lab (https://aiia.csd.auth.gr/) Aristotle at University of Thessaloniki (AUTH) has one the best R&D records in Europe (72+R&D projects, mostly EC funded).

The Department of Informatics at AUTH is ranked 1st among the Greek Universities and 106th internationally in the field of Mathematics & Computer Science for 2019 in the Leiden Ranking list, which mainly depends on the scientific impact and staff publications.

It is also ranked 1st among the Greek Universities in the international ranking list Guide2Research, for 2021, having 5 faculty members in the list of top scientists in the scientific area of Computer Science and Electronics.

Aristotle University of Thessaloniki (AUTH), established in 1925, is among the most prestigious universities in Greece. Its computer science discipline is ranked #335 in the world in the US News University Ranking 2021.

Prof. Ioannis Pitas (34100+ citations, h-index 87) is an IEEE Fellow, EURASIP fellow and a world-renowned professor in multimedia systems and computer vision.

Homepage: https://aiia.csd.auth.gr/computer-vision-machine-learning/#people

https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en

About Henan University and KaiFeng, China

Henan University has a history of 109 years, and has been selected as the ''Double First Class'' University by the Ministry of Education of China, see https://en.henu.edu.cn/.

KaiFeng is a historical city (capital of Song Dynasty) and a famous tourist destination, see

https://en.wikipedia.org/wiki/Kaifeng.

How to apply

Applications are only accepted via Email.

All the following documents should be sent to Prof. Ioannis Pitas and Prof. Chongsheng Zhang simultaneously, at [email protected] and [email protected], with the email subject ''Postdoc application'':

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