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• Computer Science jobs (27)
• PhD positions in Computer Vision (14)
• Assistant / Associate Professor positions in Computer Vision (6)
• Professor positions in Computer Vision (5)
• Lecturer / Senior Lecturer positions in Computer Vision (5)
• Postdoc positions in Computer Vision (4)
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• Research assistant positions in Computer Vision (2)
• Management / Leadership positions in Computer Vision (1)
• Computer Vision jobs in Finland (4)
• Computer Vision jobs in Germany (3)
• Computer Vision jobs in Italy (3)
• Computer Vision jobs in Belgium (3)
• Computer Vision jobs in China (3)
• Computer Vision jobs in Switzerland (2)
• Computer Vision jobs in Netherlands (2)
• Computer Vision jobs in Sweden (1)
• Computer Vision jobs in Austria (1)
• Computer Vision jobs in France (1)

Search results (27)

2024 Computer Science Program Director Position

Wenzhou-Kean UniversityWenzhou-Kean University (WKU), located in Wenzhou, China, one of three Sino-American universities along with NYU Shanghai and Duke Kunshan University, is approved by the Ministry of Education of China. Launched in 2012, WKU ...

Faculty of Engineering & Computer Science

ABOUT VINUNIVERSITY VinUniversity (VinUni: https://vinuni.edu.vn/) is the first private, not-for-profit Vietnamese university established based on international standards. The university integrates the models of excellent international universitie...

Assistant/Associate/Full Professor – Computer Engineering

The Computer Engineering Department at King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia is seeking exceptional candidates in all academic ranks (Assistant/Associate/Full Professors and Postdocs). Candidates holding PhD degrees fr...

PhD Positions in Cancer Research

Are you looking for excellent research opportunities for your PhD studies at the forefront of cancer research? The German Cancer Research Center (DKFZ) in Heidelberg invites international students holding a Master’s degree in (molecular) biology, ...

Doctoral education pilot / Seven (7) Doctoral Researchers in Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC)

We are seeking to recruit seven (7) Doctoral Researchers for a fixed term of three years to the Doctoral Education Pilot for the Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC)...

PhD student position in Computer Vision

The Department of Ancient Civilizations of the University of Basel invites applications for one PhD student position (100%) in Computer Vision for 3 years on the topic of offline to online conversi...

Doctoral Researcher (Spatial Acoustic Scene Analysis and Machine Listening)

Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational, and high-impact research and education. Our universities community has its competitive edges in technology, health, and...

PhD Thesis “3D Inspection and Measurement by Path Planning and Robotic-assisted Vision”

As Austria's largest research and technology organisation for applied research, we are dedicated to making substantial contributions to solving the major challenges of our time, climate change and digitization. To achieve our goals, we rely on our...

University lecturer / university teacher in information technology (Turku)

Career Opportunities at UM6P College of Computing: Professor in "Computer Vision"

About UM6P and its College of Computing:Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and in...

Research Assistant - Information processing systems (Prof. Lanz, Oswald)

CallRector's Decree n. 507/2024 of 28.03.2024Call (PDF)Online application (LINK)ProjectNew Project Development Fund + Vision Computing and Learning LabDeadline for sending applications and publications14.05.2024 at 12:00 PM (noon)Number applications0

Research Assistant - Information processing systems (Prof. Lanz)

CallRector's Decree n. 515/2024 of 28.03.2024Call (PDF)Online application (LINK)ProjectVision multisensory AI for mobile machinery in mountain production systems (In the framework of the activities of Spoke 1 of the PNRR iNEST Project, Interconnec...

Opportunity for doctoral research at UTN

The University of Technology Nuremberg (UTN) offers a stimulating and interdisciplinary research environment with access to cutting-edge resources. It is the ideal place to make groundbreaking discoveries and contribute to exciting fields of resea...

26 funded positions within doctoral pilots at Åbo Akademi University

Åbo Akademi University opens applications for a total of 26 funded doctoral researcher-positions for three years, starting on August 1 2024 (13 positions) and January 1 2025 (13 positions, will be opened for application in autumn 2024).Deadline fo...

Professor (research) within Mathematics and Data Science

1 - Working at the VUBFor more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and solidarity, and this is very much alive on our campuses among students and staff alike.  At the VUB, you will find a diverse collectio...

PhD Research Proposal « MMW radar and optical camera fusion architecture for mobile robot perception in poorly structured environments and adverse weather conditions. »

Supervisors, location and fundingLaboratory: Université Clermont-Auvergne, Institut Pascal (UMR 6602 CNRS/UCA/SIGMA), ISPR research group (Images, Perception Systems and Robotics).📍 Campus Universitaire des Cézeaux, 4 Avenue Blaise Pascal, 63178 A...

2024 New Year Famous Universities and Enterprises PhDs Recruitment and Cooperation Video Matchmaking Meeting

1、 Event Introduction In the Chinese New Year of 2024, Juqi Consulting collaborated with the Famous universities and enterprises club to organize global PhDs visits to well-known Chinese enterprises and universities, coordinating job recruitment a...

PhD position in Computer Science for Circular Construction

PhD position in Computer Science for Circular ConstructionThe Chair of Circular Engineering for Architecture (CEA) is seeking a highly motivated and qualified PhD candidate in the field of digital ...

New Call for GSSI PhD Applications 2024/25

Gran Sasso Science Institute has published the new call for the 40th cycle of the PhD. 42 scholarships are available (one more than last year), for the four academic programmes: 10 for Astroparticle Physics, 10 for Computer Science and 10 for Regi...

Postdoc position on Scalable Energy-Efficient Deep Learning

Job descriptionThe successful candidate will be involved in cutting-edge research aimed at developing scalable sparse deep learning models that are not only powerful but also energy-efficient. This...

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PhD Positions in Computer Vision, Lund University, Sweden

PhD Positions in Computer Vision: The opportunity for PhD and MSc students to engage in cutting-edge research in computer vision, geometry, and machine learning is now available. The focus of the research involves the development of 3D mapping methods, enabling re-localization and navigation in large-scale environments. The project, funded by the Swedish Research Council, aims to extend sparse reconstruction methods to integrate higher-level scene primitives into the reconstruction process. This research has applications in Structure-from-Motion (SfM), Simultaneous Localization and Mapping (SLAM), and visual localization.

PhD Student Positions in Computer Vision, Geometry, and Machine Learning

Study Area: Computer Vision, Geometry, and Machine Learning

Location: Sweden

Eligibility/Qualification:

• Seeking talented PhD/MSc students interested in computer vision, geometry, and machine learning.
• The PhD position requires a focus on mathematics, and applicants will need to undertake math courses during their PhD studies.

Description: The project focuses on advancing 3D mapping methods, emphasizing sparse reconstruction techniques applied to sets of images to generate a 3D point cloud map. The research extends these methods to incorporate higher-level scene primitives into the reconstruction process. The ultimate goal is to enhance applications such as Structure-from-Motion, Simultaneous Localization and Mapping, and visual localization. The PhD position is part of the “Beyond 3D Points in Sparse Visual Mapping” project, funded by the Swedish Research Council.

How to Apply: Interested candidates can apply here . The application deadline is 25th March 2024.

Last Date for Apply: The application deadline is 25th March 2024.

For more details, contact [contact_person_name] at [contact_email_address].

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PhD position: Deep generative models for weakly-supervised improvement of photogrammetric models

virtual reality (https://maximelhuillier.fr) and perception of autonomous vehicles.Several methods of computer vision and photogrammetry are needed to solve this problem.They include the estimation

PhD for 3D Generative AI and Neural Scene Representations (NeRF) (f/m/div.)

is currently possible. As a part of the Bosch Research Computer Vision Lab and the Bosch Center for Artificial Intelligence in Hildesheim, you collaborate with Bosch as well as with academic research

PhD Studentship in WiFi- Vision Cross-modality Learning for Human Activity Recognition

Human activity recognition (HAR) is a compelling topic in the fields of ubiquitous computing , with numerous applications including human behaviour understanding, smart healthcare, human- computer

into the interplay of 3D generative models and automated 3D scene creation, seeking to redefine the limitations of what is currently possible. As a part of the Bosch Research Computer Vision Lab and the Bosch Center

Three PhD positions on illumination optics design

screen, we know how to compute the required freeform surfaces (lenses or reflectors). In this project we will develop a Monge-Ampère-based algorithm to design 3D optical systems where light beams can be

PHD THESIS “ 3D INSPECTION AND MEASUREMENT BY PATH PLANNING AND ROBOTIC-ASSISTED VISION ”

, which are traditionally gauged through costly and time-consuming methods like tactile 3D systems or computed tomography, or subjective manual inspection by trained workers. At the AIT's Center for Vision

and Vision , 39(9), 1603-1615. https://doi.org/10.1364/JOSAA.465900 Improved direct methods: Direct methods, such as ray tracing, compute the target distribution given the source distribution and the

Ph.D. full scholarship position on Advanced Dynamic Computer Generated Holography

, and computer vision is considered a strong asset; Proven programming experience (primarily in Python, C/C++, and optionally CUDA); Prior knowledge and hands-on experience with state-of-the-art machine

PhD Position Data-driven Additive Manufacturing

fusion, computer vision and data-driven tools to develop a digital twin of the fabrication process. You will implement reinforcement learning methods and/or graph based neural-networks incorporating

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PhD Position in Self-Supervised Deep Learning and Computer Vision

Job Information

Offer description.

Deep learning is entering a new era. More fundamental questions are being raised comparing human-level performance with that of AI-powered machines. Current deep learning systems are data-hungry and require substantial supervision rendering them inefficient in many practical circumstances. They also illustrate significant performance degradation under data domain changes. In contrast, humans learn fast from only a handful of samples under weak or no supervision at all. Self-supervised learning sits at the core of a new learning paradigm that can potentially enable machines to learn meaningful abstractions of the world, allowing them to act more swiftly and responsibly.

In this PhD project, you will be conducting research and developing self-supervised learning algorithms applied to domain adaptation and zero/few-shot learning in the context of deep learning and computer vision. We are interested in both theoretical and applied research especially in the realm of remote sensing and satellite imagery data where redundancy and abundance of data gives rise to learning meaningful self-supervised representations. What makes this PhD project even more exciting is its connection with real-life industrial applications as well as a designated industrial internship opportunity given the dual affiliation of Dr. H. Jamali-Rad.

The project will be carried out in the research group of Dr. H. Jamali-Rad within the Computer Vision Lab (CV Lab) led by Dr. J. van Gemert, in collaboration with researchers at the faculty of EEMCS, the intelligent systems (INSY) department and the Pattern Recognition Lab (PRB Lab) at TU Delft. You will be offered flexibility in exploring and substantiating your research direction, hence candidates eager to learn and grow as scientific researchers are preferred. You will also be collaborating closely with other senior PhD researchers in the group and will supervise master and bachelor theses.

Requirements

We are looking for candidates with the following criteria:

• A Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, Applied Mathematics, or other fields closely related to the research topic;
• A strong mathematical background in statistical learning and optimization theory.
• A solid understanding in one of the following areas: deep learning and computer vision.
• A background in graph neural networks is a plus, but not mandatory;
• Experience in programming in Python and hands-on experience in building deep learning pipelines in Pytorch (or Tensorflow);
• A good command of English (written and oral);
• Ability to work independently and in a team and a deadline-oriented attitude.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements .

Additional Information

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

Are you interested in this vacancy? Please apply before March 24, 2023, via the application button and upload:

• A cover letter stating your motivation in this particular PhD project and why would you be a good fit in the group (max 1 page);
• A detailed curriculum vitae (max 3 pages);
• A research statement stating your vision of what do you see as potential research directions for your PhD (max 3 pages);
• A list of all courses taken with grades both in the bachelor and master;
• Names and contact information of two academic referees;
• A pre-employment screening can be part of the selection procedure.
• You can apply online. We will not process applications sent by email and/or post.
• Acquisition in response to this vacancy is not appreciated.

For more information about this vacancy, please contact Dr. H. Jamali-Rad ( [email protected] ).

Work Location(s)

Where to apply.

• English Swedish Norwegian Finnish Danish German English French Dutch

Quick facts

• Recruitment

Categories:

• Computer science

Apply by: 2024-04-23

PhD student position in Computer Vision

The Department of Ancient Civilizations of the University of Basel invites applications for one PhD student position (100%) in Computer Vision for 3 years on the topic of offline to online conversion of historical handwritings within the SNSF-funded research project 'Egrapsa: Retracing the evolutions of handwritings in Greco-Roman Egypt thanks to digital palaeography'.   Deadline for application: April 23, 2024. Beginning of the position: September 01, 2024 (ideally). Work place: Basel (Switzerland) Salary: approx. 50'000 Swiss francs per year The interviews are expected to take place beginning of May online via Zoom.   The project Papyri preserved by the dry climate of Egypt are an unparalleled source of information about the Ancient World. However, their large number, diversity and current dispersion have impeded a comprehensive grasp of their nature and content. In particular, palaeography, the study of handwritings that has the potential to unveil where, when, and by whom a text was written, still relies on experts' assertions that rarely reach consensus. New technological advances in Computer Science, notably in Computer Vision and Natural Language Processing now allow building the big picture of the writing culture of Greco-Roman Egypt and developing scientific analyses of scripts. Funded by the Swiss National Science Foundation for five years, the Starting Grant project  EGRAPSA  (literally “I have written” in Ancient Greek) aims at providing a new theoretical framework to the palaeography of Greek papyri. Starting from sound evidence, it aims at retracing the evolutions of handwritings, generating a model that, in turn, can contribute to organizing the papyrological documentation in a coherent panorama, improving the solidity of dates and writer identifications made on palaeographical grounds. The ground-breaking dimension of the project is to encompass the entire papyrological documentation in its full complexity to  measure similarities and explain evolutions by focusing on the reconstruction of the dynamics of writing , thus to literally re-trace handwritings. For further information, see the project website  https://d-scribes.philhist.unibas.ch/en/ .  

Your position The PhD student will be fully funded for a period of three years, be registered as a PhD student at the University of Basel, and work under the co-supervision of Prof. Isabelle Marthot-Santaniello (Department of Ancient Civilizations) and of Prof. Ivan Dokmanić ( Department of Mathematics and Computer Science )  with support from the Center for Data Analytics  ( CeDA ). The PhD dissertation project will focus on how to experimentally capture hypothetical ductus (stroke order and direction of writing) reconstructed by experts and to design deep learning pipelines as well as experimental protocols to acquire and compare ductus reconstitutions. In addition, the PhD student will take part in the team's discussions on the history and evolutions of Greek handwritings across a millennium. She/he will help organize – jointly with the team – a number of workshops and conferences, participate in outreach activities of the project and present her/his research at scientific meetings. 

Your profile Applicants should hold a Master's degree in Computer Vision or related fields with grades above average (Master's thesis must be completed by the start of the position), be highly motivated to conduct innovative transdisciplinary research at the intersections of Artificial Intelligence, Kinematics, Digital Humanities and Ancient History, have an excellent command of at least English, and be able to work autonomously within an internationally and institutionally diverse environment.

We offer you The project is based in the Department of Ancient Civilizations and conducted in collaboration with the Center for Data Analytics led by Prof. Ivan Dokmanić at the  Department of Mathematics and Computer Science . The collaborative nature of the project ensures that the successful candidate will be immersed in a stimulating machine learning research environment, with cutting-edge infrastructure for high-performance computing provisioned by sciCORE – the  Center for Scientific Computing . The salary and employment conditions will be those of PhD students at the University of Basel.

Application / Contact We look forward to receiving your complete application. Applicants should submit a motivation letter, a current CV (including a list of publications if applicable), a text sample of a research paper (MA-thesis or other), and a copy of their academic degrees via the online application portal of the University (see button below) until 23 April 2024. Please also indicate the name and address of two possible referees. Applications that are not submitted via the University's online application portal will not be considered. Questions about the position can be addressed to Prof. Isabelle Marthot-Santaniello, SNSF Project leader Egrapsa, University of Basel, Petersgraben 51, CH - 4051 Basel ( [email protected] ). www.unibas.ch

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• european decision-making processes
• international security
• military affairs
• complex commerce
• cross-border cooperation
• economic financial crisis
• international law
• human rights
• minority rights
• quantum optics
• subsurface transport processes
• biogeochemistry
• mass spectrometry coupled with liquid-chromatography
• cultivation
• bacterial cells
• molecular biology tools
• microbial ecology
• network analyses
• environmental microbiology
• field experiments
• polymer chemistry
• synthetic organic chemistry
• polymerization
• geochemistry
• hydrochemistry
• spectroscopicy
• analytical hydrochemistry
• geo-ecology
• geostatistics
• nitrogen cycle
• molecular approaches
• microbial communities
• environmental samples
• sequence analysis
• population ecology
• genetic sequence
• overlapping genes
• computational linguistics
• soil biology
• 2d &3d imaging
• causal inference
• high-dimensional modelling
• active sensing
• sensory coding
• sensorimotor control
• individual differences
• collective behavior
• communication
• animal movement
• group coordination
• anomaly detection
• autonomous health monitoring systems
• particle-based methods
• computational science
• chinese government scholarship 2018
• energy modelling
• energy system analysis
• open source
• crowd-sourced data
• spatial analysis
• high energy physics
• thz electronics
• 30 hours per week
• multiscale modelling
• energy landscape
• static modes
• ionic liquid crystal
• ionic self-assembly
• multiscale structure/property correlations
• energy storage
• interdisciplinary phd programme
• participatory democracy
• socio-economic development models
• human and minority rights
• transnational criminology
• international security studies
• international politics
• european affairs
• international affairs
• european economic governance
• international organizations
• foreign policy
• military affairs and international politics
• armed conflicts and international security
• international career
• disputed areas
• embargos and sanctions
• food security and international commerce
• financial markets integration
• international economic unbalances
• sub-national entities
• multi-level governance
• european union law
• control engineering
• electronic structure
• solar-terrestrial physics
• space weather
• forecasting
• image recognition
• biochemistry or closely related fields
• coronal mass ejections
• soft matter
• strongly correlated electron systems
• diffraction
• extreme conditions
• astrobiology
• cosmic rays
• radiation physics
• wound healing; biomedical engineering
• medical sciences
• plant sciences
• crowd-sourcing
• geo-sciences
• ecotoxicology
• clinical decision support systems
• quantitative methods
• bio(nano)electronics
• protein self-assembly
• protein engineering; nanosciences
• absorption and photoluminescence spectroscopies
• iv characterizations
• injury prevention
• antibiotics
• drug design
• medical chemistry
• microbiome science
• ionizing radiation
• cybersecurity
• public economic analysis
• financial markets
• renewable energy
• innovation management
• collective behaviour
• animal behaviour
• social insects
• complex systems
• swarm robotics
• self-assembly
• vision science
• macrophages
• endothilial cells blood brain barrier
• physics or closely related fields
• surface integrity
• belt finishing
• verification
• isotope geochemistry
• oceangraphy
• paleoceanography
• continuum mechanics
• medical imaging
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• chronobiology
• endocrinology
• nutrition & biomedicine
• obesity & diabetes
• brown adipose tissue
• circadian clock
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• conjugated polymers
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• tv-l13 (65%)
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• protein structure; membranes; endosomes; autophagy; imflammation
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• doctor of philosophy
• salary is based on the universiyt of gent payemnet sysytem.
• cancer research
• new zealand
• industrial phd
• he current position is a full-time early stage researcher/phd student positions within the eu-funded marie skłodowska-curie innovative training network
• “clarify – cloud artificial intelligence for pathology”
• grant agreement number 860627. clarify is an innovative
• multinational
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• and multidisciplinary research and training programme that links two highly differentiated specialities: engineering and medicine
• with a focus on digital pathology.
• mct8 deficiency
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• doctoral student
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• replication
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• fault tolerance
• intermittent computing
• proteins; membranes; trafficking; structural biology; bacterial infection
• phd program
• legal sciences

PhD Position in Computer Vision and Machine Learning

NOTE: this position listing has expired and may no longer be relevant!

Position Description

Autonomous Vehicles at the Intersection of Computer Vision, Machine Learning and Human Factors

About the project

Institute for Transport Studies (ITS) is the leading transportation research centre in the UK and one of the Top 10 global leaders in the field. The centre currently has 60+ research staff and PhD students in multi-disciplinary areas of Human Factors, Computer Vision, AI and Machine Learning, Behavior Modeling, Psychology, and Transportation Safety.

Highly automated vehicles (AVs) also known as Level 4 vehicles can operate in self-driving mode in most circumstances and the driver is allowed to involve in any sort of non-driving activities, even sleeping. However, the automated driving mode is only expected to perform in limited spatial areas (geofenced) and under specific legislations; therefore, a human driver still has the option of getting ready to resume the driving control, whenever required.

This project aims at promoting public trust in automated driving based on scientific investigations and findings on the role of Computer Vision Technology and Human Factors in a smooth technology adaptation and transition. Using machine learning, computer vision, and human factors, the research should investigate whether the driver is ready to safely and swiftly take over the control of the vehicle? What are the major contributing human factors in taking over scenarios and to what extent? Under what circumstances the sensors and autonomous mode can perform safer than a human driver and vice-versa?

The research may involve in-cabin situation awareness such as driver behaviour monitoring (eye, head pose, and body pose modelling), as well as road hazard perception and traffic condition understanding (vehicles, pedestrians and cyclists’ detection & tracking).

While in this research we put more weight in Computer Vision part of the research, the PhD candidate is encouraged to perform joint research within our great interdisciplinary team of psychologists and human factor experts in ITS.

The PhD student is expected to contribute towards one of the following research pathways with a clear and feasible research plan and proposal for a 3.5-year PhD journey.

Possible Research Plans/Directions: • Development of appropriate methodologies, models, tools, and frameworks to increase automation levels of driving and driver comfort using real-world visual datasets and human factors.

• Using Leeds University Driving Simulator facilities/datasets for eye tracking, driver awareness monitoring, situation awareness monitoring and driver-pedestrian interactions.

• Decision making and risk assessment for switching between human and the automated driving mode, based on real-world visual datasets and sensory information in different driving scenarios.

• Driver behaviour monitoring using visual and psychological measures based on eye and head pose tracking, body pose estimation, and activity recognition.

• In-depth understanding of sensor technologies including Vision, RGB-D, Lidar, Radar, and multi-sensor data fusion research for traffic monitoring and hazard perception.

Entry requirements: – A Masters Degree in a relevant subject e.g. Computer Science, Engineering, AI, Machine Learning. – Solid background in applied Computer Vision and Machine Learning – Demonstrated competency in Math and Statistics – Demonstrated Programming proficiency (Python and/or C) – Minimum IELTS Score of 6.5 (no band less than 6.0)

Desired competencies: – Ability to teamwork in a multidisciplinary research group – Willingness and plans for joint research in human factors, safety, public trust, and social impact of the research. – Prior publications in the field

Country Eligibility: UK/EU/International

How to Apply

100 Best universities for Mechanical Engineering in Russia

Updated: February 29, 2024

• Art & Design
• Computer Science
• Engineering
• Environmental Science
• Liberal Arts & Social Sciences
• Mathematics

Below is a list of best universities in Russia ranked based on their research performance in Mechanical Engineering. A graph of 714K citations received by 136K academic papers made by 158 universities in Russia was used to calculate publications' ratings, which then were adjusted for release dates and added to final scores.

We don't distinguish between undergraduate and graduate programs nor do we adjust for current majors offered. You can find information about granted degrees on a university page but always double-check with the university website.

1. Moscow State University

For Mechanical Engineering

2. Tomsk State University

3. St. Petersburg State University

4. Bauman Moscow State Technical University

5. Ufa State Aviation Technical University

6. Peter the Great St.Petersburg Polytechnic University

7. Tomsk Polytechnic University

8. Ural Federal University

9. South Ural State University

10. National Research University Higher School of Economics

11. Moscow Aviation Institute

12. Novosibirsk State University

13. ITMO University

14. N.R.U. Moscow Power Engineering Institute

15. National Research Nuclear University MEPI

16. Kazan Federal University

17. National University of Science and Technology "MISIS"

18. Moscow Institute of Physics and Technology

19. Samara National Research University

20. Moscow State Technological University "Stankin"

21. Novosibirsk State Technical University

22. RUDN University

23. Southern Federal University

24. Saratov State University

25. Ufa State Petroleum Technological University

26. Samara State Technical University

27. Siberian Federal University

28. Kazan National Research Technical University named after A.N. Tupolev - KAI

29. Perm State Technical University

30. Omsk State Technical University

31. Saint Petersburg State Electrotechnical University

32. Moscow Polytech

33. Saint-Petersburg Mining University

34. Magnitogorsk State Technical University

35. Saratov State Technical University

36. Moscow State University of Railway Engineering

37. Lobachevsky State University of Nizhni Novgorod

38. Nizhny Novgorod State Technical University

39. Tula State University

40. Belgorod State Technological University

41. Far Eastern Federal University

42. Novgorod State University

43. belgorod state university.

44. Finance Academy under the Government of the Russian Federation

45. Moscow Medical Academy

46. Kazan State Technological University

47. Russian State University of Oil and Gas

48. siberian state aerospace university.

49. Tambov State Technical University

50. Voronezh State University

51. Siberian State Industrial University

52. Saint Petersburg State Institute of Technology

53. Kalashnikov Izhevsk State Technical University

54. St. Petersburg State University of Architecture and Civil Engineering

55. Mendeleev University of Chemical Technology of Russia

56. Murmansk State Technical University

57. South-Western State University

58. Ogarev Mordovia State University

59. Tomsk State University of Control Systems and Radioelectronics

60. south-russian state university of economics and service.

61. Perm State University

62. Kuzbass State Technical University

63. Russian National Research Medical University

64. Plekhanov Russian University of Economics

65. Ulyanovsk State Technical University

66. Ulyanovsk State University

67. Penza State University

68. Kuban State University of Technology

69. Polzunov Altai State Technical University

70. Chelyabinsk State University

71. Yaroslavl State University

72. University of Tyumen

73. National Research University of Electronic Technology

74. Leningrad State University

75. Moscow State Pedagogical University

76. Udmurt State University

77. Irkutsk State University

78. North-Eastern Federal University

79. Bashkir State University

80. Russian Presidential Academy of National Economy and Public Administration

81. Kuban State University

82. Kuban State Agricultural University

83. St. Petersburg State University of Aerospace Instrumentation

84. Kemerovo State University

85. Immanuel Kant Baltic Federal University

86. Orenburg State University

87. Baltic State Technical University "Voenmeh"

88. Tomsk State University of Architecture and Building

89. Chuvash State University

90. ivanovo state power university.

91. Irkutsk National Research Technical University

92. Orel State University

93. State University of Management

94. Tomsk State Pedagogical University

95. Volgograd State University

96. Petrozavodsk State University

97. Tver State University

98. Northern Arctic Federal University

99. Omsk State Transport University

100. Kaliningrad State Technical University

The best cities to study Mechanical Engineering in Russia based on the number of universities and their ranks are Moscow , Tomsk , Saint Petersburg , and Ufa .

Engineering subfields in Russia

• Phone: +90 (212) 875 19 08
• E-Mail: [email protected]

• Company Profile
• Company Policy
• Mission and Vision
• Certificates
• Aluminium Windows
• Aluminium Doors
• Aluminium Sliding Elements
• Aluminium Curtain Walls
• Aluminium Skylight Elements
• Aluminium Frames for Safety and Security
• Aluminium Conservatories
• Metal Panel Sheet Claddings
• Aluminium Entrance Frames
• Glass Structures
• Complementary Items
• Lightweight Steel Structures
• Human Resources OPEN

We are Hiring!

Current job openings, bookkeeper and accounts administrator.

• Organizing the internal accounts, company files and reporting to accountants, company directors,
• Liaising with the suppliers, certificates bodies, external consultants, clients and main office staff ( Fluent in English )
• Assisting Project Managers and Directors with all the paperwork involved during the flow of business,

Preferred Candidate

• Years of Experience: 3-25 years of experience
• Graduated School: Business, Economics, Accounting to similar disciplines
• Level of Education:  High School ( Graduate ), Bachelor's ( Graduate )
• Languages: English ( Reading: Advanced, Writing: Advanced, Speaking: Advanced
• Microsoft Office: Excel, Powerpoint, Word ( Advanced )

Position Information

• Company Industry:  Aluminium, Building, Architecture
• Job Type:  Permanent / Full-time
• Position Level:  Staff
• Job Location: United Kingdom, London

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