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Ph.D. Opportunity in Computer Vision and Machine Learning
The Robotics and Remote Sensing Lab (RRSL) at Michigan Technological University is excited to announce a Ph.D. position in Computer Vision and Machine Learning for Remote Sensing Applications. This unique opportunity will focus on innovative research using drone-based imagery, including RGB, thermal, and multispectral data, as well as underwater imaging, to advance the field of remote sensing. The selected candidate will work on developing cutting-edge techniques for image analysis and object detection to address critical challenges in environmental monitoring and resource management.
We seek motivated individuals with a strong background in computer science or related fields, proficient programming skills, and a keen interest in machine learning and computer vision. This position offers access to state-of-the-art facilities, expert mentorship, and a competitive stipend. Graduate students and undergraduate students are invited to apply.
Posted February 20, 2024
Ph.D. Opportunity in Image Enhancement and Object Detection for Remote Sensing Applications
Michigan Technological University is pleased to accept applications for graduate student traineeships under the newly funded National Science Foundation NRT award: “Integrative Training in Data Science-Enabled Sensing of the Environment for Climate Adaptation (DataSENSE). DataSENSE trainees will participate in a set of activities throughout the program including coursework, interdisciplinary research, summer experiences, research seminars, career development training, and near-peer mentoring.
We are seeking a highly motivated and talented candidate to join our research team and pursue a Ph.D. in the field of Image Enhancement and Object Detection using Machine Learning for Remote Sensing Applications. This exciting research opportunity will involve:
- Advancing state-of-the-art techniques in image enhancement to improve the quality and interpretability of remote sensing data.
- Developing and implementing cutting-edge machine learning algorithms for object detection in remote sensing imagery.
- Conducting research that will have a direct impact on fields such as environmental monitoring, disaster management, agriculture, and more.
Posted February 20, 2024
Software Developer Position
Associate Professor Scott Kuhl, Computer Science, is seeking graduate and undergraduate job applicants for a software developer position. The software developer will help develop, improve, and deploy educational tools to introduce students to mechatronics. The project entails updating and improving an existing 3D industrial robot simulator written in Java, and a PLC educational website written in PHP.
The software developer will also leverage Canvas to develop from scratch other educational tools for online use. Knowledge of mechatronics, PLCs, and industrial robots is not required for the position, as others working on the project can provide assistance in developing those educational materials. Experience with web technologies is strongly preferred.
Part of an NSF ExLENT grant, this hourly project starts in Fall 2023; it is expected that the position will continue through the Spring and Summer 2024 semesters.Please apply here. Applications will be accepted until the position is filled. Questions? Please email Scott Kuhl at email@example.com. Visit Dr. Kuhl’s website here.
Renewed December 5, 2023
Graduate Research Assistant Position in Marine Autonomy
U.S. citizenship is required.
The Pattern Recognition and Intelligent Machines Engineering (PRIME) Lab at Michigan Tech is seeking applications for a three-year graduate research assistant GRA position in marine autonomy. The project addresses a concern of the broad AI and autonomy communities: as autonomy is pushed into complex and unstructured environments, the vulnerabilities of sensing, processing, and decision-making must be better understood and addressed.
This effort focuses on mitigating autonomous robot system (ARS) vulnerabilities that can be potentially exploited. A comprehensive study of possible disruptions to ARSs will be performed, followed by the development of robust autonomy algorithms that mitigate these disruptions. Analyses will be undertaken to develop a deep understanding of how uncertainty in ARSs affects the autonomy framework: sensors to software. This effort will culminate in novel ARS architectures for executing robust autonomy in military-relevant scenarios.
As part of this GRA position, summer employment may be available with the U.S. Navy. Upon graduation, there is the potential to transition to full-time employment in the U.S. Navy, although this is a potential benefit, not a requirement.
Desired skills include familiarity with computer programming languages such as Python and C, experience with robotics (Robot Operating System) and robot systems, and general research experience, though candidates with a broad range of research skills will be considered and trained.
To apply, please contact Dr. Timothy Havens at firstname.lastname@example.org.
Renewed December 5, 2023
Assistive Technology Research Opportunity
Department of Computer Science faculty member Keith Vertanen is seeking new team members to take part in a collaborative project with MIT that develops Nomon. Nomon is an open-source interface designed to help severely motor-impaired individuals communicate or control their computers.
The opportunity can be a paid hourly position or an independent study for academic credit. Interested undergraduate or graduate students can apply via this form.
Posted August 31, 2023
Graduate Student Positions Available
Dr. Yakov Nekrich is looking for qualified and motivated graduate students, to work on efficient data structures. Full financial support as RA/TA is available. Current research focus is on range reporting and compressed data structures; more information can be found at pages.mtu.edu/~yakov/research.
Applicants are expected to have a keen interest in the design of algorithms and data structures. Previous research experience and/or implementation skills are also desirable. Interested applicants should send their CV and transcripts to email@example.com.
Additionally, positions for undergrad students, paid on an hourly basis, are available.
Posted August 3, 2022