Job description: Company Description

Locus Robotics is a leader in the rapidly growing eCommerce order fulfillment optimization space. Our solution helps warehouse owners attain 2-3X efficiency improvement over cart-picking operations, by empowering pickers to work collaboratively with our robots. All this is accomplished while integrating with the operator’s Warehouse Management System, utilizing and optimizing existing facility infrastructure.

Job Description

The Artificial Intelligence (AI) and Data Sciences (DS) team at Locus Robotics focuses on combining sophisticate software technologies with advances in various aspects of AI and DS disciplines such as Deep Learning & Deep Reinforcement Learning, Advanced Analytics, Generative AI, Decision Sciences, Operations Research, IoT/Simulation, Computational Perception, AI-based Goal Planning and Cloud-based software to provide novel, enabling, and breakthrough solutions for various facets of autonomous robotic and autonomous robot fleet operations.

The Senior Director role serves as a dynamic, hands-on, innovation minded leader in applying these technologies to the fascinating field of autonomous robots and their applications particularly in the domain of intralogistics and industrial automation.

Job Responsibilities:

This leader will work with internal teams and external customers to:

• Provide leadership and/or subject matter expertise in developing various analytics related products (descriptive, predictive, and prescriptive analytics) as well as playing a critical role in contributing to the monetization of those products.
• Define and lead full-scale projects, with the goal of quick market introduction leveraging agile methodologies.
• Apply modern AI and machine learning methodologies to solve complex problems involving synthesis of solutions that can measurably streamline AMR operations.
• Develop novel perception-based solutions, leveraging advances in sensor technology and sensor fusion algorithms and the power of AI and IoT at the edge and in the cloud, that can demonstrably increase the efficiency and effectiveness of highly autonomous robotic fleets.
• Contribute to the application of deep learning and deep reinforcement learning in mobile robotic navigation, control & planning, and optimization algorithms (particularly involving Adaptive and Reinforcement Learning.)
• Leverage advances in Generative AI, including LLMs, to enhance operations of autonomous robots.
• Build a talented AI/ML, Big Data, Analytics, and computational perception organization infusing a culture of innovation and commercial aptitude in the operation of the team.
• Partner with the DevOps team to establish a state of the art MLOps practice that can support innovation as well as customer deployment activities.

Qualifications

• Master’s or PhD degree in Engineering, Mathematics, or Statistics preferably with a focus on Machine Learning and AI.
• 10+ years of experience developing engineering/software solutions.
• Experience leading teams and delivering projects on time and on budget.
• 8+ years of experience in developing solutions in the field of Analytics, AI/ML, or computational perception.
• 5+ years of experience leading AI/ML teams with demonstrated experience in supporting AI/ML products in production.
• Expertise in applying Data Sciences, and/or AI-based computer vision and/or Artificial Neural Networks (ANN) & Deep Learning methodologies to a diverse set of commercial applications including, but not limited to, classification problems, prediction problems, sensor fusion and perception projects, optimization projects, navigation and control algorithms and problems.
• Familiarity with Generative AI paradigm and LLM approaches.
• Working knowledge of Agile methodologies.
• Demonstrated ability to program in one or more high level languages (e.g., C++, Python, Java, C#) in conjunction with widely used AI/ML SDKs.
• Experience with Cloud and Edge AI software development.
• Experience identifying and working with key partners in the field.
• Experience in managing operation of customer serving DS/AI products in production environments.
• Familiarity with best practices for MLOps.

Additional Information

Locus Robotics is an Equal Opportunity Employer

Expected salary:

Location: Canada

Job date: Fri, 20 Oct 2023 22:25:28 GMT

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Job description: on behalf of better health? That’s off the charts. Search Jobs Keywords Search Please be aware of attempts… to take advantage of people seeking jobs at Cedars-Sinai through fraudulent websites and email domains. Programmer/Analyst…

Expected salary: $85900 – 137300 per year

Location: Los Angeles, CA

Job date: Sun, 17 Dec 2023 06:55:10 GMT

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Job description: Location: Jubilee Campus
Salary: £33,966 per annum pro rata
Closing Date: Thursday 18 January 2024
Reference: SCI465623

We are looking for a Network Manager to coordinate the new “AI in the Biosciences” network project (https://aibio.ac.uk/).

This is a BBSRC-funded network to support and enhance engagement between the Bioscience and AI communities in the UK. The network will support community events, funding of pilot projects and creation of resources for supporting use of AI in the biosciences.

Artificial Intelligence (AI) systems are used in wide-ranging applications, from self-driving cars to language translation. Recent AI applications to the biosciences have been promising (e.g., deep learning systems for the prediction of protein structure), but efforts have been sparse and uncoordinated, and limited to groups/companies with specific expertise. Our vision is to bring together AI and core bioscience researchers to unravel biological fundamentals and tackle impeding societal challenges. The network will be the “go to” place for resources at the interface between AI and the biosciences.

As the Network Manager you will:

• Support the Principal Investigator and management group in the management of the project, including the allocation and management of research funding across multiple institutions.
• Promote the project both internally and externally, including by maintaining a dedicated project website and maintaining the project’s social media output.
• Liaise with the Management Group and Community Working Groups (on Ethics, Responsible Research and Innovation (RRI), Equity, diversity and inclusion (EDI))
• Coordinate internal funding calls, referee processes and distribution of awards.
• Develop relationships with potential new partners.
• Organise outreach and engagement with the wider public in partnership with the relevant bodies.
• Support the Principal Investigator in the day-to-day running of the project.

You should have:

• Experience of project or network coordination in a multidisciplinary environment.
• Problem solving skills and experience in conflict resolution.
• Excellent organisational, interpersonal and negotiation skills.
• Ability to identify key points from complex or large amounts of information and present to disparate stakeholders.
• The ability to plan own work activities in response to differing priorities and meeting deadlines.
• Experience of website and social media content design and maintenance
• Networking, actively engaging with and valuing other areas and diverse groups.

At the University of Nottingham, we aim to give you all the support you need to nurture your talent, develop, and reach your professional and personal career goals. We are committed to providing competitive employment packages whilst supporting the well-being of our staff to help them reach their full potential. As a university employee, you will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts and travel schemes, along with a generous holiday allowance and attractive pension scheme.

This is a part-time (20 hours), permanent role with underlining funding to 31st August 2028.

Informal enquiries may be addressed to Andy French, andrew.p.french@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

Further details:

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Our University is a supportive, inclusive, caring and positive community. We welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, see our

Applicants for this post will be considered on an equal basis, subject to the relevant permission to work in the UK as defined by the requirements set out by UK Visas & Immigration. Please visit: for more information.

For successful international applicants, we provide financial support for your visa and the immigration health surcharge, plus an interest-free loan to help cover the cost of immigration-related expenses for any dependents accompanying you to the UK. For more information please see our webpages.

Expected salary: £33966 per year

Location: United Kingdom

Job date: Thu, 07 Dec 2023 00:43:40 GMT

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Job description: The Department of Psychology, University of Alberta, invites applications for a tenure-track position at the rank of Assistant Professor in Artificial Intelligence and Biological Cognition to commence with a start date as early as July 1, 2024. Exceptional candidates might be considered for hiring at the rank of Associate Professor.

Artificial intelligence (AI) has a history steeped in psychology, cognitive science, and neuroscience. Though AI research diverged from its cognitive science roots, the advent of deep learning (DL) has reunited the fields and enabled AI to achieve human performance on multiple tasks. As these models become larger and more powerful, studying DL models trained for specific tasks can help us understand how the brain might solve similar problems. Work in this direction touches on multiple areas in psychology including memory, learning, navigation, language, and perception.

Position Summary

This position is part of a cluster hire in the intersection of AI/ML and other areas of research excellence within the University of Alberta that include Health, Energy, and Indigenous Initiatives in health and humanities, among others. The successful candidate will also become an Amii Fellow, joining a highly collegial institute of world-class Artificial Intelligence and Machine Learning researchers, and will have access to Amii internal funding resources, administrative support, and a highly collaborative environment. We particularly encourage applicants with research programs that complement the department’s current strengths in the areas of memory, learning, navigation, perception and language, with special emphasis on how these areas intersect with artificial intelligence. The successful candidate will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair, by the Amii. If the candidate is successful in their CCAI Chair nomination, the Chair includes research funding for at least five years.

Qualifications

• PhD in Psychology, Computing Science or a closely related field (e.g., Neuroscience, Computational Psychology) by the date of the appointment or shortly thereafter.
• Applicants are expected to have a research record that displays excellence, including publications in top AI/ML/Psychology/Neuroscience conferences and journals, and an innovative research program that makes fundamental advances in machine learning (ML) and/or how ML is applied to study the brain and mind.
• Evidence of teaching effectiveness and potential for acquiring external funding is required.
• Ability to teach undergraduate and graduate courses in Psychology, or cross-listed courses in Psychology and Computing Science.
• Ability to contribute to the level of AI expertise across campus, as well as to the capacity of students and investigators to engage in emerging, multidisciplinary research opportunities consistent with objectives of the University’s Strategic Plan, Indigenous Strategic Plan, and the EDI Strategic Plan.

Department/Faculty Summary

The offers about 60 different psychology courses, having 2,472 psychology undergraduate majors and over 1,024 psychology undergraduate minors. The is globally recognized for excellence in research and education, working to position our community ahead of economic cycles, ecological shifts, competitive opportunities, and disruptive technologies by pushing the boundaries of discovery, knowledge, and innovation ( ).

Alberta Machine Intelligence Institute (Amii)

Amii is one of three institutes named in the Pan-Canadian AI Strategy, consisting of more than 35 artificial intelligence (AI) and machine learning (ML) researchers at the University of Alberta, 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.

Working at the University

The University of Alberta is one of the largest and most research-productive universities in Canada. With more than 40,000 students from 146 countries, the U of A regularly ranks in the top 5 universities in the country and in the top 100 universities in the world according to QS Worldwide university rankings. The University is world-renowned for its strength in AI and ML, which the University has identified as one of three priority areas of global research prominence ( ). The University is committed to Equity, Diversity and Inclusivity ( ) and to reconciliation ( ). Greater Edmonton, Amiskwacîwâskahikan, in the language of the Plains Cree, is situated on Treaty Six Territory and Métis Nation of Alberta Region 4. We recognize and respect the history, languages, and cultures of the First Nations, Métis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our institution.

Location: The successful candidate is expected to be located in Edmonton. For more information about the University of Alberta and Edmonton, please visit and .

Salary and Benefits: This position is a part of the Association of the Academic Staff of the University of Alberta (AASUA). The university offers highly competitive salaries and an . Salary is commensurate with experience and qualifications in accordance with the Faculty Agreement’s .

How to Apply

Please read application instructions carefully as incomplete applications will not be considered. As part of the Temporary Foreign Worker Program (TFWP) 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 cover letter: “I am a Canadian Citizen/Permanent Resident” or “I am not a Canadian Citizen/Permanent Resident”.

Please select the Apply Online icon below and submit the following documents:

(1) Cover letter that includes highlights of their profile (2 pages max), along with TFWP statement of Canadian status (submit under “Cover Letter”).

(2) CV (submit under “Curriculum Vitae”).

(3) Names and contact information of three referees (submit under “References”). The required reference letters must focus on the candidate’s research and scholarly work under the following headings:

• An assessment of their AI/ML expertise;
• An appraisal of the impact and significance of their research and scholarship;
• Quality of their publications;
• Standing in the field, and ranking among the scholars in their cohort; and
• Potential for sustained growth and achievement in the future.

(4) Copies of up to 3 recent publications or preprints, including one paper that best exemplifies their work at the intersection of AI/ML and psychology/neuroscience (submit under “List of Publications”).

(5) Research Statement that outlines their main areas of current and future research and that addresses each of the criteria listed below under EVALUATION OF CANDIDATES (submit under “Research Plan”).

(6) A summary of their teaching interests and teaching dossier (submit under “Statement of Teaching/Research Interests”).

(7) An EDI Statement (1-2 pages) that identifies their strengths and experiences with equity, diversity, and inclusion and includes their plans to advance EDI in their research, teaching, mentoring, and service to the scientific community (submit under “EDI Philosophy”).

EVALUATION OF CANDIDATES: Candidates must address each of these criteria in their attached Research Plan. * Disciplinary Excellence. Candidates should be doing internationally-recognized research, commensurate with their career stage. This means high quality work appearing in high quality venues.

• Depth and Breadth of Connections with AI/ML. Candidates’ past and planned research should be deeply connected with and/or enabled by AI and machine learning. Ideally, AI/ML techniques and advances should be at the heart of the research. Their research should constitute fundamental advances in AI/ML, or constitute a fundamental advance in how AI/ML is applied in psychology and/or neuroscience.
• Vision for AI Transforming Their Discipline. Candidates should be current/future leaders in the transformation of psychology and neuroscience through AI. The ideal candidate would both see the future of psychology/neuroscience involving AI and be an advocate of the innovation AI can bring to psychology/neuroscience.
• Synergy with Amii. Candidates should be excited to have close collaborations with world-class AI researchers at Amii. The ideal candidate will both leverage Amii AI expertise (prof, student, community), as well as be an active participant – both at a collegial and intellectual level – giving back to the Amii community and its pool of expertise.

Inquiries regarding the position can be addressed to the Department Chair, Dr. Anthony Singhal (psychair@ualberta.ca), and the Executive Assistant, Llyn Madsen ( ), using “AI BioCognition 2024” as the email’s subject.

Applications must be received by Friday, January 12, 2024 to receive full consideration. We thank all applicants; however, only those selected for an interview will be contacted. All applicants are invited to indicate appropriate accessibility accommodations that will facilitate their participation in an interview by contacting to arrange appropriate accommodations.

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.

The University of Alberta is committed to an equitable, diverse, and inclusive workforce. 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; persons with non-traditional career paths; and all those who may contribute to the further diversification of ideas and the University to apply. The University of Alberta recognizes the legitimate impact that leaves such as parental leave or leave due to illness can have on a candidate’s record of research achievement, and these leaves will be taken into careful consideration during the assessment process.

How to Apply

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

Expected salary:

Location: Edmonton, AB

Job date: Wed, 22 Nov 2023 06:19:07 GMT

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Job description: Job id: 078786. Salary: £42,405 – £44,721, per annum, including London Weighting Allowance.

Posted: 10 November 2023. Closing date: 26 November 2023.

Business unit: Faculty of Arts & Humanities. Department: Digital Humanities.

Contact details: Sana Khareghani. sana.khareghani@kcl.ac.uk

Location: Strand Campus. Category: Research.

Job Description

We are recruiting a Postdoctoral Research Associate in the area of responsible artificial intelligence to join the programme to examine the development and deployment of AI in the creative sectors. This is a 3-year post.

RAI UK is a national centre creating an international ecosystem for responsible AI research and innovation. It will enable responsible and trustworthy AI to power benefits for everyday life. This is a £31 million consortium representing the whole of the UK, led by the University of Southampton and including Universities of Nottingham, Glasgow, Swansea, Cambridge, Queen’s University of Belfast, UCL, and King’s College London. Part of our mission is to deliver consortia-led socio-technical and creative practice research that addresses fundamental challenges with multi-disciplinary and industrial perspectives.

This is an exciting time as we work to shape the next four years of RAI UK. The successful applicant will be a part of that, joining a multidisciplinary environment, working with researchers across STEM, social sciences, and arts & humanities, as well as engaging with non-academic stakeholders. We offer mentoring and ECR support, and a travel budget for conference and meeting attendance. This post is based in the Department of Digital Humanities at King’s but will be cross-Faculty and cross-institution by design.

Applicants should have completed or be soon to complete a PhD in arts and humanities, science and technology studies, creative practice, or a related area. We also welcome those with equivalent professional qualifications and experience. The post is offered on a fixed-term contract for 3 years with a potential start date from January 2024 or shortly after.

Interviews are expected to take place on 11 and 12 December 2023.

This post will be offered on a fixed-term contract for 3 years.

This is a full-time post – 100% full time equivalent**.**

Key responsibilities

• Co-design, develop and implement RAI UK research.
• Work as part of a national programme.
• Engage with external partners and stakeholders.
• Write and present research findings.
• Plan and prioritise a varied workload to meet deadlines in an efficient and effective manner.

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Post is 3 years but cannot be extended past 31 March 2028

Expected salary: £42405 – 44721 per year

Location: Strand, Central London

Job date: Sun, 12 Nov 2023 02:04:36 GMT

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Job description: Closing date: 26 November 2023

Building and Campus: Chesham Building, Strand Campus

Job description

We are recruiting a Postdoctoral Research Associate in the area of responsible artificial intelligence to join the (RAI UK) programme to examine the development and deployment of AI in the creative sectors. This is a 3-year post.

RAI UK is a national centre creating an international ecosystem for responsible AI research and innovation. It will enable responsible and trustworthy AI to power benefits for everyday life. This is a £31 million consortium representing the whole of the UK, led by the University of Southampton and including Universities of Nottingham, Glasgow, Swansea, Cambridge, Queen’s University of Belfast, UCL, and King’s College London. Part of our mission is to deliver consortia-led socio-technical and creative practice research that addresses fundamental challenges with multi-disciplinary and industrial perspectives.

This is an exciting time as we work to shape the next four years of RAI UK. The successful applicant will be a part of that, joining a multidisciplinary environment, working with researchers across STEM, social sciences, and arts & humanities, as well as engaging with non-academic stakeholders. We offer mentoring and ECR support, and a travel budget for conference and meeting attendance. This post is based in the Department of Digital Humanities at King’s but will be cross-Faculty and cross-institution by design.

Applicants should have completed or be soon to complete a PhD in arts and humanities, science and technology studies, creative practice, or a related area. We also welcome those with equivalent professional qualifications and experience. The post is offered on a fixed-term contract for 3 years with a potential start date from January 2024 or shortly after

Interviews are expected to take place on 11 and 12 December 2023.

Contract type

This post will be offered on a fixed-term contract for 3 years

This is a full-time post – 100% full time equivalent

Key responsibilities

• Co-design, develop and implement RAI UK research.
• Work as part of a national programme.
• Engage with external partners and stakeholders.
• Write and present research findings.
• Plan and prioritise a varied workload to meet deadlines in an efficient and effective manner.

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

£42,405 to £44,721 per annum, including London Weighting Allowance

Expected salary: £42405 – 44721 per year

Location: London

Job date: Wed, 15 Nov 2023 06:02:50 GMT

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