AI Use Case Manager – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204258BR
City: Zürich
Job Type : Full Time
Your role:
Do you have the know-how to apply business analysis techniques to deliver innovative solutions? Are you able to challenge the status quo? Are you able to understand business drivers and developments, and explain in a succinct and understandable manner? We're looking for a Use Case Manager who will: • interact and closely engage with all relevant stakeholders to establish risk identification, control and supervision to support AI and machine learning solutions • define requirements and functional specifications for the model developers • manage the development process through production and solution transfer to the stakeholders
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• master's degree in Business Administration, Economics / Finance • 2+ years of experience in risk & compliance in the financial services industry, in change-the-bank and run-the-bank role • very good knowledge in functional requirements analysis and specification and used to closely collaborate with highly technical staff • expertise in global regulatory context and sound understanding of its impacts on model methodology and IT • sound understanding of banking, compliance and operational risk taxonomies, processes and controls • excellent project management skills, covering the initial analysis & requirements specification process through to production deployment and solution transfer to the business users • strong interpersonal, stakeholder management and communication skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Use Case Manager – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204258BR
City: Zürich
Job Type : Full Time
Your role:
Do you have the know-how to apply business analysis techniques to deliver innovative solutions? Are you able to challenge the status quo? Are you able to understand business drivers and developments, and explain in a succinct and understandable manner? We're looking for a Use Case Manager who will: • interact and closely engage with all relevant stakeholders to establish risk identification, control and supervision to support AI and machine learning solutions • define requirements and functional specifications for the model developers • manage the development process through production and solution transfer to the stakeholders
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• master's degree in Business Administration, Economics / Finance • 2+ years of experience in risk & compliance in the financial services industry, in change-the-bank and run-the-bank role • very good knowledge in functional requirements analysis and specification and used to closely collaborate with highly technical staff • expertise in global regulatory context and sound understanding of its impacts on model methodology and IT • sound understanding of banking, compliance and operational risk taxonomies, processes and controls • excellent project management skills, covering the initial analysis & requirements specification process through to production deployment and solution transfer to the business users • strong interpersonal, stakeholder management and communication skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Model Developer
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204257BR
City: Zürich
Job Type : Full Time
Your role:
Does quantitative modeling excite you? Are you an innovative thinker and interested in risk topics? Do you enjoy understanding algorithms and their background? We're looking for a model developer who will: • design, build and test AI models and solutions for business stakeholders and users primarily relying on Python based libraries and frameworks • ensure adherence to standards related to our AI development pipeline, model validation, front / back-end interfaces and workflow procedures • design and implement reusable Python assets, code templates and ongoing AI development framework enhancements. • stakeholder management across various levels within the business unit and interact with all relevant GCRG stakeholders. • collaborate with data architects and IT specialists to support as well the development of a data strategy and bespoke technical infrastructure
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science, Physics, Statistics or Mathematics • up to 5 years of analytics / statistical model development experience, using advanced quantitative & machine learning methods, applied preferably in financial services, risk & compliance domain • fluent in Python or R • strong expertise in Scikit, Pandas, Numpy, Tensorflow, Keras, Spacy, model transparency and interpretability techniques • front-end prototyping experience in R Shiny or JS React advantageous • understanding of model risk management processes • basic understanding of IT and software engineering principles • good communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Model Developer
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204257BR
City: Zürich
Job Type : Full Time
Your role:
Does quantitative modeling excite you? Are you an innovative thinker and interested in risk topics? Do you enjoy understanding algorithms and their background? We're looking for a model developer who will: • design, build and test AI models and solutions for business stakeholders and users primarily relying on Python based libraries and frameworks • ensure adherence to standards related to our AI development pipeline, model validation, front / back-end interfaces and workflow procedures • design and implement reusable Python assets, code templates and ongoing AI development framework enhancements. • stakeholder management across various levels within the business unit and interact with all relevant GCRG stakeholders. • collaborate with data architects and IT specialists to support as well the development of a data strategy and bespoke technical infrastructure
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science, Physics, Statistics or Mathematics • up to 5 years of analytics / statistical model development experience, using advanced quantitative & machine learning methods, applied preferably in financial services, risk & compliance domain • fluent in Python or R • strong expertise in Scikit, Pandas, Numpy, Tensorflow, Keras, Spacy, model transparency and interpretability techniques • front-end prototyping experience in R Shiny or JS React advantageous • understanding of model risk management processes • basic understanding of IT and software engineering principles • good communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Model & Methodology Maintenance and Business Enabler
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204256BR
City: Zürich
Job Type : Full Time
Your role:
Are you an expert in in the use of machine learning for decision making? Do you enjoy understanding algorithms and their background? Are you organized with an eye for detail? We're looking for someone like that to: • maintain our newly built AI and machine learning solutions on our proprietary platform • calibrate, verify and manage model governance and the model governance process • act as the main point of contact for ensure stakeholders and model users, ensuring they know how to use and have reliable access to our solutions, including providing topical training and second level support
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• ideally a Master's in Mathematics, Natural Sciences, Engineering, Economics or Quantitative Finance • minimum 2+ years' experience in model risk management and model governance processes within the financial services industry • experience in model development or validation, using R, Python, Java, C++ • strong understanding of international regulatory, risk & compliance business context • model maintenance experience across a diverse set of non-financial risk taxonomies (e.g. Conduct, Legal, Cyber etc.) • solid experience in modern banking IT environments & good understanding of their specific requirements (e.g. data management, security etc.) • good communication, writing and presentation skills, teaching or 2. Level business support experience a strong plus • fluency in English required, other languages (e.g. German) advantageous us
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Model & Methodology Maintenance and Business Enabler
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204256BR
City: Zürich
Job Type : Full Time
Your role:
Are you an expert in in the use of machine learning for decision making? Do you enjoy understanding algorithms and their background? Are you organized with an eye for detail? We're looking for someone like that to: • maintain our newly built AI and machine learning solutions on our proprietary platform • calibrate, verify and manage model governance and the model governance process • act as the main point of contact for ensure stakeholders and model users, ensuring they know how to use and have reliable access to our solutions, including providing topical training and second level support
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• ideally a Master's in Mathematics, Natural Sciences, Engineering, Economics or Quantitative Finance • minimum 2+ years' experience in model risk management and model governance processes within the financial services industry • experience in model development or validation, using R, Python, Java, C++ • strong understanding of international regulatory, risk & compliance business context • model maintenance experience across a diverse set of non-financial risk taxonomies (e.g. Conduct, Legal, Cyber etc.) • solid experience in modern banking IT environments & good understanding of their specific requirements (e.g. data management, security etc.) • good communication, writing and presentation skills, teaching or 2. Level business support experience a strong plus • fluency in English required, other languages (e.g. German) advantageous us
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Software Engineer – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204255BR
City: Zürich
Job Type : Full Time
Your role:
Are you passionate about bringing systems to life? Do you have a curious nature, always interested in how to innovate? Are you an innovative thinker and interested in risk topics? We're looking for a software developer who will: • create AI development guidelines, design and build GUI templates • implement a comprehensive testing, delivery and deployment framework • ensure resilient interfaces to production environments, front / back-end components complying with existing validation and Group IT standards contributing to the creation of a data strategy • build an IT infrastructure coordinating technical activities towards the validation of model • closely interact with all relevant business unit stakeholders to architect and deliver robust, scalable and sustainable AI solutions.
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science • 2+ years of software development experience under Windows / Unix / Linux / MVS, applied preferably in financial services, risk & compliance domain • fluent in Python / R / C++ / Java • solid experience in front-end development technologies like JS React or Angular • strong expertise in relational DBMS (DB2, MySQL, SQL Server, Oracle) and Data Lakes (Microsoft, Oracle, TeraData) • sound knowledge of BigData and deployment environments & processes (Cloud computing, Azure, Hadoop) • working knowledge of Machine Learning frameworks • basic understanding of model validation process • excellent communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Software Engineer – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204255BR
City: Zürich
Job Type : Full Time
Your role:
Are you passionate about bringing systems to life? Do you have a curious nature, always interested in how to innovate? Are you an innovative thinker and interested in risk topics? We're looking for a software developer who will: • create AI development guidelines, design and build GUI templates • implement a comprehensive testing, delivery and deployment framework • ensure resilient interfaces to production environments, front / back-end components complying with existing validation and Group IT standards contributing to the creation of a data strategy • build an IT infrastructure coordinating technical activities towards the validation of model • closely interact with all relevant business unit stakeholders to architect and deliver robust, scalable and sustainable AI solutions.
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science • 2+ years of software development experience under Windows / Unix / Linux / MVS, applied preferably in financial services, risk & compliance domain • fluent in Python / R / C++ / Java • solid experience in front-end development technologies like JS React or Angular • strong expertise in relational DBMS (DB2, MySQL, SQL Server, Oracle) and Data Lakes (Microsoft, Oracle, TeraData) • sound knowledge of BigData and deployment environments & processes (Cloud computing, Azure, Hadoop) • working knowledge of Machine Learning frameworks • basic understanding of model validation process • excellent communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Quantitative Risk Specialist (Financial Crime)
Compliance, Quantitative Analysis, Risk
Corporate Center
Job Reference # 205124BR
City: Zürich
Job Type : Full Time
Your role:
D o you want to want to contribute to project of firm-wide significance? We're looking for someone who is ready to support the bank-wide UBS AML data analytics program with particular focus on the following tasks: • Act as a Subject-Matter Expert for the bank-wide AML Client Risk Rating Model within the central Financial Crime Prevention unit • Support managing instances of the global AML Client Risk Rating (CRR) model • Analyse Model Performance and develop Challenger Models • Review model parameters and thresholds on a regular basis for appropriateness • Support internal model validation assessments • Participate in global Steering Committee which supervises CRR • Own Product Risk assessment process and methodology • Run a change management process / change board that ensures transparency on and appropriate prioritization of change requests • Engage with a global community of stakeholders in Financial Crime and Business units
Your team :
You will be working in the Risk Assessments and Analytics team within global Financial Crime function. We work as a gatekeeper in preventing money laundering, terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, evaluate money laundering risks linked to countries, and carry out systematic data analytics exercises on a client level.
Your expertise :
• a Master degree (MS or MA) in mathematics, statistics, physics, engineering or statistics • at least 5years experience in a quantitative data driven role • Fluent in R, Python, SQL other programming languages an advantage • experience in Financial Crime risk management, audit or compliance • a sound understanding of Due Diligence processes, risk factors, and relevant regulatory requirements • knowledge of model risk and model validation • good record keeping and report drafting skills • ability to lead people/projects or initiatives
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
Quantitative Risk Specialist (Financial Crime)
Compliance, Quantitative Analysis, Risk
Corporate Center
Job Reference # 205124BR
City: Zürich
Job Type : Full Time
Your role:
D o you want to want to contribute to project of firm-wide significance? We're looking for someone who is ready to support the bank-wide UBS AML data analytics program with particular focus on the following tasks: • Act as a Subject-Matter Expert for the bank-wide AML Client Risk Rating Model within the central Financial Crime Prevention unit • Support managing instances of the global AML Client Risk Rating (CRR) model • Analyse Model Performance and develop Challenger Models • Review model parameters and thresholds on a regular basis for appropriateness • Support internal model validation assessments • Participate in global Steering Committee which supervises CRR • Own Product Risk assessment process and methodology • Run a change management process / change board that ensures transparency on and appropriate prioritization of change requests • Engage with a global community of stakeholders in Financial Crime and Business units
Your team :
You will be working in the Risk Assessments and Analytics team within global Financial Crime function. We work as a gatekeeper in preventing money laundering, terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, evaluate money laundering risks linked to countries, and carry out systematic data analytics exercises on a client level.
Your expertise :
• a Master degree (MS or MA) in mathematics, statistics, physics, engineering or statistics • at least 5years experience in a quantitative data driven role • Fluent in R, Python, SQL other programming languages an advantage • experience in Financial Crime risk management, audit or compliance • a sound understanding of Due Diligence processes, risk factors, and relevant regulatory requirements • knowledge of model risk and model validation • good record keeping and report drafting skills • ability to lead people/projects or initiatives
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Philip Morris International
Lausanne, VD, Switzerland
Over the past three years, Philip Morris International (PMI) has made a dramatic pivot away from the marketing and sales of combustible cigarettes, and moved towards its Reduced-Risk Product (RRP) portfolio, focusing on its flagship product, IQOS. This launch of this product is PMI’s step forward to creating a smoke-free future for legal age consumers who continue to enjoy tobacco, but are seeking smoke-free alternatives. All of this has been accompanied by an organization-wide transformation in ways of working, culture, and strategy, with emphasis on digital, consumer and collaborator strategies. Do you look for ways to learn and grow in an international environment? Do you want to build a remarkable career? Are you up for a 6-month challenge starting as of July/August 2019? Then apply now, we need you: Intern in Machine Learning – Image Processing You have the following skills and qualifications:
Currently studying for your Master degree in Computer science or related area
Familiarity with ML frameworks for object detection (YOLO, PyTorch, Keras, Tensorflow, etc.)
Solid programming skills in Python, Knowledge of Scrum, TDD
Unix shell scripting
Gitflow workflow
A desire to learn and strong motivation to succeed
Responsibilities:
Use ML techniques to analyze stream of images to detect specific objects in them
Identify the most effective object detection techniques
Develop an approach to address labelled data bottleneck
Assess the quality of the devised analytical solution
Project Description: We are looking for a Machine Learning Intern to join PMI Data Science Team. In this project we aim to investigate various deep learning architectures, pre-trained models and API's to extract insights from visual data. For example, given a stream of pictures, a suite of purpose-built models can extract various types of contextual information using object detection and segmentation models, e.g.: ‘person’, ‘male’, ‘female’, ‘group’, ‘garden’, ‘bar’, ‘beach’, ‘drink’, ‘color spectrum’, ‘brands’, etc. Objective is to leverage on the existing models & data pipelines and explore the visual aspect of the image data. Extracted data related to visual entities will be made available for other data scientists & business users for further exploration. References:
Mask R-CNN for object detection and segmentation https://github.com/matterport/Mask_RCNN
A great starting point for all sorts of pre-trained models and papers https://modelzoo.co/
Philip Morris International: Building a Smoke-Free Future Philip Morris International (PMI) is leading a transformation in the tobacco industry to create a smoke-free future and ultimately replace cigarettes with smoke-free products to the benefit of adults who would otherwise continue to smoke, society, the company and its shareholders. PMI is a leading international tobacco company engaged in the manufacture and sale of cigarettes, smoke-free products and associated electronic devices and accessories, and other nicotine-containing products in markets outside the U.S. PMI is building a future on a new category of smoke-free products that, while not risk-free, are a much better choice than continuing to smoke. Through multidisciplinary capabilities in product development, state-of-the-art facilities and scientific substantiation, PMI aims to ensure that its smoke-free products meet adult consumer preferences and rigorous regulatory requirements. PMI's smoke-free IQOS product portfolio includes heated tobacco and nicotine-containing vapor products. As of Dec. 31, 2018, PMI estimates that approximately 6.6 million adult smokers around the world have already stopped smoking and switched to PMI’s heated tobacco product, which is currently available for sale in 44 markets in key cities or nationwide under the IQOS brand. For more information, see our PMI and PMIScience websites.
28/01/2020
Full time
Over the past three years, Philip Morris International (PMI) has made a dramatic pivot away from the marketing and sales of combustible cigarettes, and moved towards its Reduced-Risk Product (RRP) portfolio, focusing on its flagship product, IQOS. This launch of this product is PMI’s step forward to creating a smoke-free future for legal age consumers who continue to enjoy tobacco, but are seeking smoke-free alternatives. All of this has been accompanied by an organization-wide transformation in ways of working, culture, and strategy, with emphasis on digital, consumer and collaborator strategies. Do you look for ways to learn and grow in an international environment? Do you want to build a remarkable career? Are you up for a 6-month challenge starting as of July/August 2019? Then apply now, we need you: Intern in Machine Learning – Image Processing You have the following skills and qualifications:
Currently studying for your Master degree in Computer science or related area
Familiarity with ML frameworks for object detection (YOLO, PyTorch, Keras, Tensorflow, etc.)
Solid programming skills in Python, Knowledge of Scrum, TDD
Unix shell scripting
Gitflow workflow
A desire to learn and strong motivation to succeed
Responsibilities:
Use ML techniques to analyze stream of images to detect specific objects in them
Identify the most effective object detection techniques
Develop an approach to address labelled data bottleneck
Assess the quality of the devised analytical solution
Project Description: We are looking for a Machine Learning Intern to join PMI Data Science Team. In this project we aim to investigate various deep learning architectures, pre-trained models and API's to extract insights from visual data. For example, given a stream of pictures, a suite of purpose-built models can extract various types of contextual information using object detection and segmentation models, e.g.: ‘person’, ‘male’, ‘female’, ‘group’, ‘garden’, ‘bar’, ‘beach’, ‘drink’, ‘color spectrum’, ‘brands’, etc. Objective is to leverage on the existing models & data pipelines and explore the visual aspect of the image data. Extracted data related to visual entities will be made available for other data scientists & business users for further exploration. References:
Mask R-CNN for object detection and segmentation https://github.com/matterport/Mask_RCNN
A great starting point for all sorts of pre-trained models and papers https://modelzoo.co/
Philip Morris International: Building a Smoke-Free Future Philip Morris International (PMI) is leading a transformation in the tobacco industry to create a smoke-free future and ultimately replace cigarettes with smoke-free products to the benefit of adults who would otherwise continue to smoke, society, the company and its shareholders. PMI is a leading international tobacco company engaged in the manufacture and sale of cigarettes, smoke-free products and associated electronic devices and accessories, and other nicotine-containing products in markets outside the U.S. PMI is building a future on a new category of smoke-free products that, while not risk-free, are a much better choice than continuing to smoke. Through multidisciplinary capabilities in product development, state-of-the-art facilities and scientific substantiation, PMI aims to ensure that its smoke-free products meet adult consumer preferences and rigorous regulatory requirements. PMI's smoke-free IQOS product portfolio includes heated tobacco and nicotine-containing vapor products. As of Dec. 31, 2018, PMI estimates that approximately 6.6 million adult smokers around the world have already stopped smoking and switched to PMI’s heated tobacco product, which is currently available for sale in 44 markets in key cities or nationwide under the IQOS brand. For more information, see our PMI and PMIScience websites.
Machine Learning Researcher (Knowledge Graph focused)
Part-time, Project-based
EF Research
Lucerne, Switzerland
Hiring Manager: Bob Zhou, bob.zhou@ef.com
The Role
Research and build adaptive learning systems. This role has flexibility in working hours and location.
Responsibilities:
Research the state-of-art implementations in Knowledge Graph and its application in language learning
Build the recommendation engine together with the engineering team
Requirements:
At least Master degree in Computer Science in Machine Learning and NLP, PhD preferred
Strong background and experience in Knowledge Graph
Experience in building recommendation systems
Solid programming skills in Python
Rich experience in using at least one of the popular Deep Learning frameworks such as Tensorflow, PyTorch, etc.
Be able to research independently and efficiently in any new topics in Computer Science and Machine Learning
EF is the world leader in international education. Our mission is to open the world through education, and so far we have helped over 15 million people learn a language, discover the world or earn an academic degree.
EF is an equal opportunities employer and offers a multicultural working environment. If you are motivated by the prospect of an international career with a dynamic and forward-thinking company, we want to hear from you.
28/01/2020
Full time
Machine Learning Researcher (Knowledge Graph focused)
Part-time, Project-based
EF Research
Lucerne, Switzerland
Hiring Manager: Bob Zhou, bob.zhou@ef.com
The Role
Research and build adaptive learning systems. This role has flexibility in working hours and location.
Responsibilities:
Research the state-of-art implementations in Knowledge Graph and its application in language learning
Build the recommendation engine together with the engineering team
Requirements:
At least Master degree in Computer Science in Machine Learning and NLP, PhD preferred
Strong background and experience in Knowledge Graph
Experience in building recommendation systems
Solid programming skills in Python
Rich experience in using at least one of the popular Deep Learning frameworks such as Tensorflow, PyTorch, etc.
Be able to research independently and efficiently in any new topics in Computer Science and Machine Learning
EF is the world leader in international education. Our mission is to open the world through education, and so far we have helped over 15 million people learn a language, discover the world or earn an academic degree.
EF is an equal opportunities employer and offers a multicultural working environment. If you are motivated by the prospect of an international career with a dynamic and forward-thinking company, we want to hear from you.
Die Universität St.Gallen ist eine der forschungsstärksten Universitäten der Schweiz. Zusammen mit namhaften Partnern in Wissenschaft und Praxis forschen wir im Research Lab an Fragestellungen zum Management von Artificial Intelligence. Wir bieten Doktoranden die Möglichkeit exzellente Forschung in enger Zusammenarbeit mit renommierten Branchenführern in ausgewählten, relevanten Themenbereichen durchzuführen und sich innerhalb unseres exzellenten Netzwerks einzubringen. Was wir bieten
Eigenständige Durchführung von Forschungs- und Praxisprojekten im Bereich Management von Artificial Intelligence in Zusammenarbeit mit führenden Unternehmen
Verfassen wissenschaftlicher Publikationen in hochrangigen Journals
Exzellente Rahmenbedingungen für eine hochwertige Dissertation
Betreuung durch anerkannte und erfahrene Professoren
Mitarbeitet in einem motivierten Team aus Doktoranden, Studierenden und Unternehmen
Zugang zu einem internationalen Forschungsnetzwerk
Seminare zu unterschiedlichen Forschungsmethoden in Wirtschaftsinformatik/Informatik
Ausgezeichnete räumliche und technologische Infrastruktur im Lab (u.a. NVIDIA DGX-2)
Berufliche und akademische Entwicklung und Profilierung als Experte für das Thema AI
Attraktive Vergütung gemäss den Richtlinien der HSG
Unsere Erwartungen
Erste Erfahrung im Bereich Artificial Intelligence von Vorteil
Erste Berufserfahrung im (Technologie-)Consulting oder Industrieunternehmen von Vorteil
Sehr guter Masterabschluss in Wirtschaftswissenschaften, Wirtschaftsinformatik, Informatik, Mathematik oder vergleichbarer Fachrichtung (min. 5.0 (CH) bzw. 2.0 (DE)) (kein FH, MBA, MAS)
Eigeninitiative, strukturierte Arbeitsweise sowie Teamfähigkeit
Kenntnisse quantitativer und qualitativer Forschungsmethoden
28/01/2020
Full time
Die Universität St.Gallen ist eine der forschungsstärksten Universitäten der Schweiz. Zusammen mit namhaften Partnern in Wissenschaft und Praxis forschen wir im Research Lab an Fragestellungen zum Management von Artificial Intelligence. Wir bieten Doktoranden die Möglichkeit exzellente Forschung in enger Zusammenarbeit mit renommierten Branchenführern in ausgewählten, relevanten Themenbereichen durchzuführen und sich innerhalb unseres exzellenten Netzwerks einzubringen. Was wir bieten
Eigenständige Durchführung von Forschungs- und Praxisprojekten im Bereich Management von Artificial Intelligence in Zusammenarbeit mit führenden Unternehmen
Verfassen wissenschaftlicher Publikationen in hochrangigen Journals
Exzellente Rahmenbedingungen für eine hochwertige Dissertation
Betreuung durch anerkannte und erfahrene Professoren
Mitarbeitet in einem motivierten Team aus Doktoranden, Studierenden und Unternehmen
Zugang zu einem internationalen Forschungsnetzwerk
Seminare zu unterschiedlichen Forschungsmethoden in Wirtschaftsinformatik/Informatik
Ausgezeichnete räumliche und technologische Infrastruktur im Lab (u.a. NVIDIA DGX-2)
Berufliche und akademische Entwicklung und Profilierung als Experte für das Thema AI
Attraktive Vergütung gemäss den Richtlinien der HSG
Unsere Erwartungen
Erste Erfahrung im Bereich Artificial Intelligence von Vorteil
Erste Berufserfahrung im (Technologie-)Consulting oder Industrieunternehmen von Vorteil
Sehr guter Masterabschluss in Wirtschaftswissenschaften, Wirtschaftsinformatik, Informatik, Mathematik oder vergleichbarer Fachrichtung (min. 5.0 (CH) bzw. 2.0 (DE)) (kein FH, MBA, MAS)
Eigeninitiative, strukturierte Arbeitsweise sowie Teamfähigkeit
Kenntnisse quantitativer und qualitativer Forschungsmethoden
The Personalised Medicine research group of the sitem Center for Translational Medicine and Biomedical Entrepreneurship at the University of Bern is offering a PhD position in the research and development of artificial intelligence (AI) algorithms for anatomy modelling and anatomical analysis.
The PhD candidate will work within our multinational team and in close collaboration with our industrial, research and clinical partners, towards a cutting-edge software system for the diagnosis, surgical planning and outcome prediction of shoulder pathologies. They will build on deep learning-based algorithms to investigate clinically applicable segmentation solutions for the purpose of tissue composition and morphological analyses, patient specific biomechanical surgical outcome simulations and radiomics-based analysis of treatment outcome success. The student will work within a highly motivated team of experts at the sitem Center and interface with imaging physicists, surgeons and neurologists from the University Hospital of Bern, biomechanical engineers from ETH Zurich and industrial partners.
TasksAs a PhD candidate, you will conduct applied research in the field of image based surgical planning. The candidate will investigate methods based on AI for the delineation of anatomical structures from MRI and CT images, investigate AI methodologies for image domain adaption as well as investigate radiomics approaches to surgical outcome prediction. The PhD candidate will also be responsible for developing clinically applicable solutions from research outcomes to enable clinical validation of the solutions. Specific tasks of the PhD candidate will include:
Investigate and develop automatic anatomy segmentation algorithms for musculoskeletal structures from MRI and CT image data
Investigate and develop automated methods for calculating diagnostic parameters from MRI and CT image data
Investigate and develop methods for surgical outcome prediction based on radiomics
Develop a fully integrated clinical applicable software system for diagnosis, surgical planning and outcome prediction
Work with biomechanical engineers to develop and integrate surgical planning optimisation methods
Clinically validate developed algorithms and systems
RequirementsWe are looking for a dynamic, ambitious and self-motivated candidate with a Master of Science in Biomedical Engineering, Software Engineering, Computer Science or similar. Candidates with a strong background in software development and image processing are particularly encouraged to apply. The candidate must be fluent in written and spoken English. The following attributes will be highly valued:
Knowledge in AI technology (TensorFlow, PyTorch, etc.)
Programming experience in Python and C++
Experience working with clinical partners or in multidisciplinary teams
An understanding of basic biomedical principles
Problem solving, reasoning, organisation, planning and analytical skills
We offer
A unique doctoral position in a highly interdisciplinary team
A meaningful applied project at the forefront of surgical technology
The opportunity to present results in scientific journals and at international conferences
Entrepreneurship opportunities and the possibility to follow entrepreneurial studies at the sitem-insel School if desired
The opportunity to collaborate with the medical technology industry, applied researchers and physicians
A well-defined accompanying PhD curriculum, managed by the local graduate school (www.gcb.unibe.ch)
State-of-the art facilities in the brand new sitem-insel building with close proximity to clinical partners at the University Hospital of Bern
A pleasant working environment in a city that is ideally located in the middle of Switzerland and Europe, offering rich cultural and outdoor activities and a high quality of life
A fully funded position for 3 years (salary according to the Swiss National Science Foundation, www.snf.ch)
How to applyPlease send an application letter and CV addressed to Dr. Kate Gerber (kate.gerber@sitem.unibe.ch). Applications may be considered until the position is filled. The University of Bern is an equal opportunity employer. Qualified female candidates are especially encouraged to apply.
28/01/2020
Full time
The Personalised Medicine research group of the sitem Center for Translational Medicine and Biomedical Entrepreneurship at the University of Bern is offering a PhD position in the research and development of artificial intelligence (AI) algorithms for anatomy modelling and anatomical analysis.
The PhD candidate will work within our multinational team and in close collaboration with our industrial, research and clinical partners, towards a cutting-edge software system for the diagnosis, surgical planning and outcome prediction of shoulder pathologies. They will build on deep learning-based algorithms to investigate clinically applicable segmentation solutions for the purpose of tissue composition and morphological analyses, patient specific biomechanical surgical outcome simulations and radiomics-based analysis of treatment outcome success. The student will work within a highly motivated team of experts at the sitem Center and interface with imaging physicists, surgeons and neurologists from the University Hospital of Bern, biomechanical engineers from ETH Zurich and industrial partners.
TasksAs a PhD candidate, you will conduct applied research in the field of image based surgical planning. The candidate will investigate methods based on AI for the delineation of anatomical structures from MRI and CT images, investigate AI methodologies for image domain adaption as well as investigate radiomics approaches to surgical outcome prediction. The PhD candidate will also be responsible for developing clinically applicable solutions from research outcomes to enable clinical validation of the solutions. Specific tasks of the PhD candidate will include:
Investigate and develop automatic anatomy segmentation algorithms for musculoskeletal structures from MRI and CT image data
Investigate and develop automated methods for calculating diagnostic parameters from MRI and CT image data
Investigate and develop methods for surgical outcome prediction based on radiomics
Develop a fully integrated clinical applicable software system for diagnosis, surgical planning and outcome prediction
Work with biomechanical engineers to develop and integrate surgical planning optimisation methods
Clinically validate developed algorithms and systems
RequirementsWe are looking for a dynamic, ambitious and self-motivated candidate with a Master of Science in Biomedical Engineering, Software Engineering, Computer Science or similar. Candidates with a strong background in software development and image processing are particularly encouraged to apply. The candidate must be fluent in written and spoken English. The following attributes will be highly valued:
Knowledge in AI technology (TensorFlow, PyTorch, etc.)
Programming experience in Python and C++
Experience working with clinical partners or in multidisciplinary teams
An understanding of basic biomedical principles
Problem solving, reasoning, organisation, planning and analytical skills
We offer
A unique doctoral position in a highly interdisciplinary team
A meaningful applied project at the forefront of surgical technology
The opportunity to present results in scientific journals and at international conferences
Entrepreneurship opportunities and the possibility to follow entrepreneurial studies at the sitem-insel School if desired
The opportunity to collaborate with the medical technology industry, applied researchers and physicians
A well-defined accompanying PhD curriculum, managed by the local graduate school (www.gcb.unibe.ch)
State-of-the art facilities in the brand new sitem-insel building with close proximity to clinical partners at the University Hospital of Bern
A pleasant working environment in a city that is ideally located in the middle of Switzerland and Europe, offering rich cultural and outdoor activities and a high quality of life
A fully funded position for 3 years (salary according to the Swiss National Science Foundation, www.snf.ch)
How to applyPlease send an application letter and CV addressed to Dr. Kate Gerber (kate.gerber@sitem.unibe.ch). Applications may be considered until the position is filled. The University of Bern is an equal opportunity employer. Qualified female candidates are especially encouraged to apply.
