Job description: Position Summary

The Department of Earth and Atmospheric Sciences at the University of Alberta invites applications for a tenure track position at the Assistant Professor level in Remote Sensing and Machine Learning in Earth/Environmental Sciences. Exceptional candidates may be considered at higher ranks. We are seeking an individual who demonstrates the potential to develop a strong research and teaching program in this field. The successful candidate will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair by the Alberta Machine Intelligence Institute (Amii). The CCAI Chair includes research funding for at least five years. This position is part of a University of Alberta cluster hire in the intersection of Machine Learning and other areas, including Health, Energy and Indigenous Initiatives. The successful candidate will be expected to develop an innovative and robust externally funded research program, engage in, and develop domestic and international research networks, teach graduate and undergraduate classes in remote sensing, geographic information systems, and Earth/Environmental Sciences, supervise and mentor graduate and undergraduate students, and provide service to the Department, the Faculty, and the University, as well as to professional and external communities. The successful candidate will also become an Amii Fellow, joining a highly collegial institute of world-class Artificial Intelligence and Machine Learning researchers, have access to Amii internal funding resources, administrative support, and a highly collaborative environment.

Minimum Qualifications

Candidates must hold a Ph.D. (or equivalent) in Earth Sciences, Environmental Sciences or an aligned discipline, with emphasis on applications of Remote Sensing and Machine Learning. The successful candidate will have:

• A strong research record and research plan in Remote Sensing of Earth/Environmental Systems that involves making fundamental advances in machine learning approaches or fundamental advances in how machine learning is applied in Remote Sensing.
• Proven ability and commitment to training the next generation of scientists in the field of Remote Sensing of Earth and Environmental Systems.
• Expertise compatible with one or more of the broad range of disciplines within the Department of Earth and Atmospheric Sciences at the University of Alberta, which can be found at:

Department/Faculty Summary

The Department of Earth and Atmospheric Sciences (EAS) at the University of Alberta is a leading department with outstanding teaching and research in the fields of Environmental Earth Sciences, Geology, Paleontology, Human Geography, and Planning. Globally, the Earth sciences program is ranked 35th and the Geology program 5th according to Nature and the Centre for World University Rankings (CWUR), respectively. The department has an established program in applications of remote sensing and imaging spectroscopy in Earth/Environmental Sciences and hosts world class facilities at the Centre for Earth Observation Sciences (CEOS). These include two platforms for hyperspectral imaging of rock and soil samples, drill core, and vegetation (SisuROCK with VNIR and SWIR imaging spectrometers, longwave infrared camera 8000-12000 nm). The SWIR camera can be deployed in the field along with two point spectrometers (ASD FieldSpec 3m Agilent 4100 ExoScan FTIR) and several drones equipped with Lidar, thermal and spectral cameras. EAS has more than 50 faculty members, and over 120 graduate students, and is recognized for its scholarly achievement, excellence in teaching and research, and service to the community.

The Alberta Machine Intelligence Institute (Amii) is one of three institutes named in the Pan-Canadian AI Strategy and consists of more than 35 artificial intelligence (AI) & machine learning (ML) researchers at the U of A, as well as CCAI Chairs at post-secondary institutions across Western Canada. The University of Alberta is world-renowned for its strength in AI and ML; the AI cohort that includes this position will bring together and foster the next generation of scientists leading the development of machine learning for societal benefit, fulfilling Amii’s mandate of AI for good and all.

Who can apply

The University of Alberta is committed to Equity, Diversity and Inclusion ( ) and to reconciliation ( ). We welcome applications from all qualified persons. We encourage women; First Nations, Métis, and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all who may contribute to the further diversification of ideas and the University to apply. Applicants from non-traditional career paths are also encouraged to apply.

Inquiries regarding the position can be addressed to the Department Chair, Dr. Stephen T. Johnston,

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered.

Review of applications will begin January 5, 2024 and will continue until the position is filled, with a targeted start date of July 1, 2024.

How to apply

Interested individuals should use the link below to submit the following:

• a curriculum vitae,
• a description of their area(s) of research and planned research projects;
• an equity, diversity, and inclusion statement that includes the candidate’s contributions and plans to advance EDI in their research, teaching, and service; a statement of teaching philosophy; and
• one paper (published or preprint) that exemplifies their work and/or vision for machine learning in Remote Sensing in Earth/Environmental Sciences.
• Names and contact information for three individuals who can provide letters of reference, with a recommendation that at least one individual be able to speak to the candidate’s expertise in Machine Learning.

As part of the Temporary Foreign Worker Program requirements, the university must conduct recruitment efforts to hire Canadians and permanent residents before offering a job to a temporary foreign worker. To ensure we remain in compliance with these regulations, please include the appropriate statement in your application “I am a Canadian Citizen/Permanent Resident” or “I am not a Canadian Citizen/Permanent Resident”.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

How to Apply

Note: Online applications are accepted until midnight Mountain Standard Time of the closing date.

Expected salary:

Location: Canada

Job date: Thu, 26 Oct 2023 03:43:20 GMT

Apply for the job now!

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Job description: Revalue Nature: Revalue Nature’s mission is to make ecosystems function, at scale. We do this by developing the highest integrity nature-based projects globally, with our team of carbon experts, advanced climate tech and data intelligence platform.

We are building on strong foundations to deliver at scale and with the highest integrity:

• Our team has an exceptional track-record of designing and delivering high impact carbon projects.
• We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space.
• We offer unrivalled opportunities for our talent. We want this to be a place which allows you to do the best work of your life, while also focusing on balance outside of work.

What are we looking for?

We are not just another company in this space, we want to be the leaders, and we are rapidly scaling up our team to achieve it. We are looking for the most mission-driven, talented people to grow and scale our impact. If you have a ‘bias towards action’ and you are driven by our same values and mission, we want to know you.

Delivering natural solutions at scale requires diverse thinkers truly committed to revaluing nature through transparent, equitable partnerships and systems change. We seek a truly diverse range of applicants from around the world by career stage, background, and approach.

The ideal candidate will play a crucial role in developing cutting-edge algorithms, and models to apply Computer Vision and Object-based Recognition, and other machine learning tools to remote sensing data to better understand, describe and analysis complex ecosystems and landscapes. As the Machine Learning – Remote Sensing Lead, you will be responsible for designing advanced analytical models, developing, and implementing robust and scalable models to enhance performance and accuracy, guiding the team members to integrate the new tools in their daily workstream.

The successful candidate will possess a combination of technical expertise in machine learning, remote sensing, and computer vision, as well as strong analytical and problem-solving skills.

This position will be remote and requires excellent communication skills, technical knowledge, and a passion for the environment.

Tasks

What are the main responsibilities of the role?

• Developing and implementing advanced machine learning algorithms: Design and implement machine learning algorithms and models (supervised and unsupervised) specifically tailored for remote sensing applications, such as land cover change detection and classification. This involves working with various data sources, including radar, optical sensors, high-resolution imagery, and ground truth observations.
• Algorithm selection: Evaluate and select the most suitable machine learning algorithms for each specific remote sensing application, considering factors such as efficiency, accuracy, and computational requirements.
• Applying deep learning techniques: Apply deep learning techniques to analyse remote sensing imagery and extract meaningful information. This includes exploring and utilizing deep learning models and architectures relevant to feature extraction, training and fine-tuning, and evaluation and optimization.
• Collaboration and teamwork: Collaborate with other team members and stakeholders to identify research questions, design research studies, and implement solutions. Effective communication and teamwork skills are essential for successful collaboration.
• Documentation and transparency: Maintain documentation of code, methods, and results to ensure transparency and reproducibility of research and analysis. This includes documenting the rationale behind algorithm choices, parameter settings, and data pre-processing steps.
• Keeping up to date with advancements: Stay up-to-date with the latest developments in remote sensing techniques and machine learning, particularly as they relate to land cover change. This involves staying informed about new algorithms, tools, and research publications in the field.
• Project planning and reporting: Participate in project planning, execution, and reporting. This includes preparing technical reports, and presentations to communicate research findings and project progress.
• Training and support: Provide training and support to other team members on data collocation, curation, sampling and machine learning. This may involve mentoring junior team members or conducting workshops and training sessions.

Note: This job description is intended to convey essential responsibilities and requirements and is not an exhaustive list of tasks. Other duties may be assigned as deemed necessary by the company.

Requirements

What do we expect from you?

Requirements:

· Strong background in machine learning, deep learning, and computer vision.

· Proficiency in programming languages such as Python and familiarity with machine learning frameworks/libraries such as TensorFlow, PyTorch, or Keras.

· Experience with remote sensing data, including satellite imagery, LiDAR, or aerial imagery.

· Solid understanding of object-based recognition techniques and image segmentation algorithms.

· Excellent problem-solving skills and the ability to work independently and as part of a team.

· Strong communication and presentation skills.

· Excellent written and verbal communication skills.

· Experience working remotely

Nice to have:

· Experience with specialized remote sensing libraries or tools like GDAL.

· Experience in remote sensing data analysis, particularly in land cover change detection and classification using radar, optical sensors, and high-resolution imagery.

Benefits

What do we offer?

· Shared purpose, culture, and values.

· Unbeatable work flexibility and balance (global team, remote working)

· A truly diverse team of colleagues, partners, and clients.

· An agile team, with unrivalled experience and track-record.

· Competitive salary and benefits package.

If you are passionate about working with data, enjoy solving complex problems, and have the required skills and experience, we would love to hear from you. Join our team and contribute to building robust data solutions that drive our organization’s success.

Location: Remote, UK

Revalue Nature Ltd is an equal opportunity employer that values diversity and encourages people of all ethnic & racial origins, gender identities, sexual orientations, religions & ideologies, socio-economic statuses, educational backgrounds, ages, and individuals of all abilities to apply.

Applicants must be legally authorized to work in their country of residence. Revalue is unable to sponsor or take over sponsorship of an employment visa at this time.

GET IN TOUCH

To apply, please submit your resume and relevant portfolio or projects showcasing your skills.

Revalue Nature

Revalue exists to deliver a fundamental step-change in integrity at scale. We are rethinking carbon projects from the ground up. We believe this fundamental step-change in the quality of carbon projects is required to build confidence in the market. ‘Slightly better’ is not good enough. Confidence is required for the carbon market to go from a pond to an ocean. An ocean of demand is required for impact at a planetary scale. Our world cannot afford anything less than impact on the planetary scale. This drives us every day.

We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space. We offer great opportunities for our talent and we want this to be a place that allows you to do the best work of your life, while also focusing on balance outside of work.

Expected salary:

Location: London

Job date: Wed, 15 Nov 2023 23:30:37 GMT

Apply for the job now!

The post Machine Learning – Remote Sensing Lead (remote, based in UK) appeared first on World News: Entertainment, lifestyle, Health, Technology.

Hardware

• Display size: 6.8" front display + 1.1" rear display

• CPU: MTK Helio G99

• RAM: 12GB

• ROM: 256GB

• ROM type: UFS 2.2

• TF Card:  support to 1TB

• USB : Type-C

• Weight: 465g

• Dimensions：81.8mm X 176.4mm X 19.9mm

• Battery Capacity: 15000mAh

• Charger: 20V3.25A  65W fast charge

Camera

• Front camera:32MP

• 32MP：IMX616，F/2.0，5P lens，FOV83.84°

• Rear camera: 200MP（main）+ 64MP(Night Vision)

• 200MP：S5KHP3SP，F/1.65，1/1.4inch，7P lens，FOV84.7°，16 in 1，

• 64MP：OV64B，F/1.79，6P lens，FOV79.8°

• Light: 3 LED flashlight + 2 IR light

Connectivity

• WIFI: 802.11a/b/g/n/ac

• Bluetooth:BT5.2

• 2G:GSM: B2/B3/B5/B8

• 3G:WCDMA: B1/B2/B4/B5/B8

• 3G:CDMA: BC0

• 4G:TDD: B38/B40/B41

• 4G:FDD:B1/B2/B3/B4/B5/B7/B8/B12/B13/B17/B18/B19/B20/B25/B26/B28(A+8)/B66

Languages

Russian,French,German,English,Spanish,Ukrainian,Portuguese,Japanese,Thai,Italian,Arabic,Korean,English,Greek,Croatian,Czech,Chinese, Hebrew.

Introducing Double-Sided Glass Design

B2 Ultra, the new face of IIIF150 B lineup, with double-sided Gorilla® Glass offering both smoothness and toughness. The special octagon silhouette representing robust IIIF150 spirit, and the cyberpunk details offering mechanical engineering aesthetic.

Ultra Thin Look at its level

With as large as 15000mAh battery capacity, it’s not easy to build a slim body. But it never mean we should give up the portable using experience. It’s a mobile device. IIIF150 always put the user experience in the first place. Without losing any battery capacity and tough performance, B2 Ultra will provide the ultra thin feeling to you.

Top-Class Imaging System

200MP Rugged Device

The 200-megapixel camera captures so much detail, you can pinch in and reveal even more shots within.

Low Light
It’s Fine

Compared to B1 series, B2 Ultra perfect the algorithm for low light condition, expressing rich color data for true-to-life details and hues.

No Light, Still Equipped

AF 64MP Night Vision Camera

Keep Wild, Underwater

Underwater Camera Mode

More Ways to
Interact Remotely

Check the latest information not only in the front, but also in the rear, this 1.1" 2nd display. It’s a mindful and unique design.

B2 Ultra is equipped with radar technology for short-range micro-motion sensing. Within the distance of 30cm, you could wave or tap to interact with B2 Ultra in the 2nd display.

A Lot Could Be Done
in this 15000mAh

It’s not a common battery capacity. However, there is always one moment you want to stop battery anxiety, for work, adventure, or feeling at ease.

With 15000mAh battery, keep you powered up in 4-day travelling. And it consist of 3 batteries, all 65W rated, making sure you having better charging and using experience. With 65W Fast Charge, it only takes 40 minutes to be half charged.

Up to 24GB RAM, Up to 2TB Storage

Extend 12GB RAM to 24GB RAM by integrating ROM and RAM. Enjoy smooth interaction, fast loading, and big storage space.

6nm Helio G99 Processor

The A-lister's chipset
6nm Architecture Octa-Core CPU HyperEngine 2.0 Arm Mali-G57 MC2 GPU

Built Robust
, Craft & Materials

What’s in the Box

B2 Ultra*1       65W GaN Charger*1        Cable
C to C *1       Screen Protective Kit *1

The post [World Premiere] IIIF150 B2 Ultra Rugged Machine 15000mAh 120Hz 6.8” Screen 12GB 256GB 200MP Micro-Motion Sensing Dual Display appeared first on World News: Entertainment, lifestyle, Health, Technology.