Job Opportunities

Post Doc Researcher (2+2 years)

The Parallel Computing (http://alpha.di.unito.it/) and the Machine Learning (http://www.di.unito.it/do/gruppi.pl/Show?_id=677v) research groups (University of Turin, https://www.unito.it) are looking for a postdoctoral researcher with experience in Federated Learning and Parallel Computing.

Applications are invited from candidates with a PhD in Computer Science, Engineering, or other related fields (e.g., Physics, Math, …). Candidates are expected to have research expertise, especially in the fields of Machine Learning (better if they have specific experience in Federated Learning) or Parallel Computing (i.e., we are seeking candidates that either have experience in both fields, or have experience in one of the two fields and are willing to build experience in the other one).

The research will be framed within the activities of “The European PILOT” project (https://www.eupilot.eu).

The work will focus on developing SW libraries to support distributed training and inference of DNNs and feature extraction algorithms for video-based applications. The work will require a working knowledge about python and python deep learning libraries (specifically: PyTorch and Tensorflow).

The selection will be based on CV and a remote interview.

The position is for 2+2 years. The initial gross salary will range between 27k-33k euro per year before taxes (roughly equivalent to a salary varying between 1.6K and 2K euro per month after taxes).

PhD Positions

Offering two PhD positions at the University of Bochum

I am starting a new research group on trustworthy federated machine learning at the University of Bochum in collaboration with the Institute for Artificial Intelligence in Medicine (IKIM). My research so far: https://michaelkamp.org/

The group will be working on novel machine learning approaches to learn from distributed healthcare data. Key aspects here are theoretical guarantees on model quality, privacy, and explainability. The goal is to produce theoretically sound methods that can be used in healthcare practice. To that end, my group will be supported by a software developer, and AI and healthcare researchers at IKIM.

I offer two full PhD positions. If you are interested in what a PhD in Germany looks like, have a look at this brilliant tweet from my colleage Andreas Zeller: https://twitter.com/AndreasZeller/status/1278246191482974209

Researcher

The Data Science team aims to build novel big data solutions and service platforms that simplify complex systems management, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and artificial intelligence such as time series analysis, graph mining, NLP and document understanding, and so on. The goal of our research is to fully understand the dynamics of big data from complex systems and build innovative solutions to help end user managing those systems. We have built a number of analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.

Our group is looking for researchers to work in the areas of artificial intelligence, machine learning or data mining. The ideal candidates must have expertise in one of the above areas and can develop algorithms to analyze massive data and build innovative applications.

Requirements

PhD in CS/CE with a strong publication record in at least one of the following areas:

– Artificial Intelligence, machine learning, and deep neural networks

– Time series analysis and prediction

– Text mining, natural language processing and information retrieval

– Graph and information network mining

– Large scale optimization and learning

– Signal processing, image processing and computer vision

NEC Labs is located in Princeton, NJ, home of Princeton University and one of New Jersey’s most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean.

Research Intern on AI

The Data Science team aims to build novel big data solutions and service platforms that simplify complex systems management, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and artificial intelligence such as time series analysis, graph mining, NLP and document understanding, and so on. The goal of our research is to fully understand the dynamics of big data from complex systems and build innovative solutions to help end user managing those systems. We have built a number of analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.

Our group is looking for researchers to work in the areas of artificial intelligence, machine learning or data mining. The ideal candidates must have expertise in one of the above areas and can develop algorithms to analyze massive data and build innovative applications.

Requirements

PhD candidates in CS/CE with a publication record in at least one of the following areas:

– Artificial Intelligence, machine learning, and deep neural networks

– Time series analysis and prediction

– Text mining, natural language processing and information retrieval

– Graph and information network mining

– Large scale optimization and learning

– Signal processing, image processing and computer vision

NEC Labs is located in Princeton, NJ, home of Princeton University and one of New Jersey’s most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean.

Computational Data Scientist

Data analytics encompasses the computational and statistical skills required to use data in support of scientific enquiry and sound business decision-making. We are looking to hire candidates to work on challenging data analytics problems across our oil & gas businesses, including exploration, production, refining, chemicals, and retail.

Responsibilities:

– Apply statistical analysis, pattern recognition, and machine learning – along with domain knowledge and subject-specific models – to solve science, engineering, and commercial problems.
– Contribute to all stages of data analytics or decision modeling projects, including problem formulation, solution development, and product deployment:
– Translate business-relevant scientific, engineering, and commercial problems into questions that may be address using data analytics.
– Design experiments and/or run simulations to generate new data in support of analytic studies.
– Retrieve and combine data from databases, data historians, and/or data lakes; there is a strong emphasis on programming, particularly using scripting languages.
– Perform exploratory data analysis for quality control and improved understanding.
– Rigorously and reproducibly build, analyze, and compare statistical and/or machine learning models.
– Contextualize the results and synthesize them with existing knowledge and/or domain-specific models.
– Deploy data-analytic products to end-users and/or document data-analytic results in technical reports.

Requirements:

– PhD in one of the following disciplines: Statistics, Computer Science, or Science or Engineering with significant experience in data analytics
– Experience in Python, MATLAB, or R is required
– Excellent communication skills and experience working in a collaborative environment is required
– Knowledge of numerical methods for linear algebra and optimization is an advantage
– Experience in technical software development is an advantage
– Experience working in Linux and in a High Performance Computing environment is an advantage
– Previous work experience in the oil and gas industry is an advantage

Alternate Locations: United States : Houston, Texas || United States : Clinton, New Jersey || United States : Baytown, Texas

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Research Fellow (MSCA)

NeuroInsight is a Marie Skłodowska-Curie COFUND Action for Postdoctoral Fellowships.

The programme aims to support a new kind of postdoc, developing advanced skills in data analytics, AI, machine and deep learning and applying them to the challenges of neurological conditions. We anticipate proposals from a wide range of topics within these fields.

We will facilitate high quality research, provide opportunities for fellows to complement their own expertise through interaction with patient groups and access to data, and to develop unique capacity and flexibility for an independent research career.

In 2022 NeuroInsight aims to fund at least 15 high-calibre Postdoctoral Fellowships of 24 months. Fellows will relocate to Ireland to join expert supervisors in one any institution in Ireland that is affiliated with one of our SFI Centres. Fellows will have access to the full range of FutureNeuro and Insight labs, infrastructure and neurological datasets.

Funding Details: This programme operates at the intersection between two existing large scale, distributed programmes of research in Ireland: FutureNeuro, the SFI Centre for Chronic and Rare Neurological Disease, and Insight, the SFI Centre for Data Analytics. Fellows may be hosted by any Irish institute affiliated with these Centres. Incoming or Global options may be proposed. For detailed information on the opportunity, eligibility and the application process please see the call documentation on www.neuroinsight.eu
The award will provide for salary (indicative range € 42-52K; allowances depending on host and applicant status), research costs, training and career development programme

Eligibility: NeuroInsight Fellowships are for experienced researchers from any country, seeking a prestigious, career-building base in Ireland. For full eligibility criteria please read the call documentation on our website.
Applicants should:
– either hold a PhD on 19th January 2022, or have at least 4 years of equivalent research experience
– have spent less than 12 months of the previous 36 in Ireland (relaxed / alternative mobility rules apply under certain conditions, and for global fellowships)

Apply by submitting a proposal via our website. Explicit support must be gained from a NeuroInsight supervisor. Selection will be through independent peer review followed by interview. Full submission guidelines, terms and instructions can be found on our website.

Senior Applied Research Scientist – NLP

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.

What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

More about Thomson Reuters Labs – http://tr.com/ai-jobs

About the role

In this opportunity you will:

Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.

Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

Delivery: You will be accountable for timely, well-managed deliverables.

Innovate: You will be empowered to try new approaches and learn new technologies.

Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

About you

You are a fit for the role if you have:

Ph.D. in a relevant discipline or Master’s plus a comparable level of experience

At least one year of industry experience building IR/NLP/ML systems

Solid software engineering skills for prototyping

Preferred qualifications

5+ years academic or industry experience building IR, ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

Proven communication skills and ability to work on deliverables independently

Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

What’s in it for you

At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

Perks: Social events & activities, employee discount programs

Social Impact: Paid time off for volunteering virtually or in your community

Applied Research Scientist – NLP

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.

What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

More about Thomson Reuters Labs – http://tr.com/ai-jobs

About the role

In this opportunity you will:

Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.

Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

Delivery: You will be accountable for timely, well-managed deliverables.

Innovate: You will be empowered to try new approaches and learn new technologies.

Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

About you

You are a fit for the role if you have:

Ph.D. in a relevant discipline or Master’s plus a comparable level of experience

At least one year of industry experience building IR/NLP/ML systems

Solid software engineering skills for prototyping

Preferred qualifications

5+ years academic or industry experience building IR, ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

Proven communication skills and ability to work on deliverables independently

Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

What’s in it for you

At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

Perks: Social events & activities, employee discount programs

Social Impact: Paid time off for volunteering virtually or in your community

Senior Data Scientist, NLP

We are looking for a Senior Data Scientist, NLP to join our London team!

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in London is seeking an experienced scientist with a passion for solving problems using state-of-the-art Machine Learning and Natural Language Processing.

What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is known for consistently delivering Artificial Intelligence projects that advance the state of the art in support of high growth products and serve Thomson Reuters customers in new and exciting ways.

ABOUT THR ROLE

In this opportunity as a Senior Data Scientist, you will:

Experiment and Develop: You will drive the entire model development lifecycle, building, testing and delivering high quality solutions. You will apply best practices for conducting reproducible research and well-managed software delivery.

Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates.

Deliver: With a strong sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.

Innovate: You will be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.

Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.

ABOUT YOU

To be considered for the role Senior Data Scientist, NLP you will have:

Basic qualifications

PhD in a relevant discipline or Master’s plus a comparable level of experience

Extensive experience building ML/NLP systems

Solid software engineering skills for prototyping

Experience as a technical leader, coordinating and guiding the work of others

Preferred qualifications

Extensive academic or industry experience building ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

Demonstrated ability to translate customer needs into well-structured research/project plans

Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

Outstanding communication, organization, and data-driven decision making

Publications at workshops or conferences such as ACL, EMNLP, KDD, ICML, NeurIPS, or similar

WHAT’S IN IT FOR YOU

At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

Learning & Development: On-the-job coaching & learning, exposure to leading-edge technology

Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. 

Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

Ph.D. Candidate

The 6GEM consortium combines scientific excellence and mobile communications expertise at network, material, component/microchip, and module-level in North Rhine-Westphalia. A holistic approach is pursued, from production to logistics to people with their needs for self-determination, privacy, and security in times of climate change.

Based on previous contributions in the SFB 876, the LS8 project team will explore novel, real-time capable 6G network technologies and innovative 6G application fields. Among other things, the results will flow into the standardization of open 6G networks, open-source projects for software-defined networks, and patents.

Your task:
Research, publishing and collaboration in one of the focus areas:
– Machine Learning and Resource Constraints
– Safe Reinforcement Learning
– Imputation and prediction of sensor data

Your profile:
– Very good university degree (Master) in the field of computer science,
– knowledge in reinforcement learning and/or graph neural networks desirable
and/or
– Publications at relevant conferences.

We offer:
– Research tasks in one of the most important research areas of our time
– Cooperation in a team with top researchers at TU Dortmund University and the partners of the center
– Possibility to do a doctorate
– The possibility of further scientific qualification is given and desired

PhD student or post doc

The Competence Center Machine Learning Rhine-Ruhr (ML2R) is growing. Grow with us! We are looking for researchers who are curious and have a degree in computer science or a related field of study and already have experience in Machine Learning. We conduct research on Machine Learning and Artificial Intelligence – research areas that will decisively shape our lives in the coming years. In doing so, we are committed to values and ethical standards. We are aware of our social responsibility: Interdisciplinary teams of computer scientists, physicists, mathematicians, as well as philosophers, lawyers and social scientists work on specific research questions. The ML2R focuses on the following topics: Trustworthy ML, Hybrid ML, Resource-aware ML, ML on Quantum Computers. For further information see also: https://www.ml2r.de/en/career/

Data Scientist – Investment Research

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

Two Sigma’s data engineering platform enables us to harness some of the world’s most complex & challenging content, as we structure and integrate new datasets into a diverse ecosystem of syndicated financial and industry-specific data products. Two Sigma’s data scientists are focused on joining, enriching, and transforming datasets into novel creative measures of economic activity. We utilize a variety of modeling techniques to generate financially-relevant predictions feeding into Two Sigma’s systematic investment management platform, we measure the performance and impact of our predictions in a variety of settings, and we further distill economic insights and thematic analyses from our data & observations.

You will take on the following responsibilities:
– Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors
– Contribute to the design of investing strategies on economic predictions through multiple investing paradigms
– Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds
– Contribute to data sourcing strategy across multiple industry data verticals supporting our prediction efforts
– Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes

You should possess the following qualifications:
– 1-5+ years of experience in applied data analysis & prediction, preferably in an industry setting
– Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science
– Demonstrably strong data science modeling intuition and feature engineering creativity
– Expertise in applying statistical techniques for time-series measurement/estimation and prediction
– Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
– Experience specifying & managing requirements for datasets leveraged in your analyses
– Working knowledge of SQL and common data science toolkits : Python, R, Spark, Matlab
– Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data
– A portfolio of open-data analyses or data-driven research publications would be ideal

You will enjoy the following benefits:
– Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
– Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
– Learning: Tuition reimbursement, conference and training sponsorship
– Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Data Research and Acceleration Analyst

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

In this role, you will join our close-knit team of quantitative researchers, data scientists, engineers, and business colleagues to translate data into actionable insights and to accelerate our vibrant research pipeline.

You will take on the following responsibilities:
– Analyzing and enriching a wide range of structured and unstructured big data into datasets for analysis;
– Communicating data-driven analysis and insights in the form of “data studies” that enable a nuanced understanding of our data and inform our investment research process;
– Acting as data integrity managers by amplifying, measuring, and exposing data quality and completeness through automation and a process-driven approach;
– Operating and extending our data platform to deliver production-grade data curation and analysis capabilities;
– Researching new companies, industries, and economic phenomena, and determining how best to use our data to track key performance indicators.

You should possess the following qualifications:
– 2-5 years of relevant working experience
– BA/BS with a strong academic track record
– Applied data analysis experience with messy data
– Strong Python skills; experience with SQL and relational databases
– Deep intellectual curiosity and passion for data
– Excellent problem solving, communication, and analytical skills
– Eagerness to contribute in a fast-paced, outcome-oriented environment
– While financial industry or alternative data experience is a plus, we are open-minded in our search for critical thinkers who are passionate about technology and data

You will enjoy the following benefits:
– Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
– Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
– Learning: Tuition reimbursement, conference and training sponsorship
– Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

AI Research Scientist

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

We are looking for creative experts who are interested in applying general machine learning and specifically deep learning techniques to many types of problems, but particularly those with large amounts of noisy data.

You will take on the following responsibilities:
Develop effective techniques and infrastructure, from the initial idea to the running prototype and product
Similar to a research environment, you will write code, use the latest machine learning tools, run experiments, and generally develop techniques and processes to improve our understanding of how financial data influences the world around us
Partner with teams across Two Sigma to implement your ideas into their products
Remain connected to the broader research community by partnering with internal and external collaborators and participate in relevant conferences

You should possess the following qualifications:
Advanced degree in Computer Science, Engineering, or other STEM field
Excellent programming skills in Python, C++, Tensorflow, PyTorch or similar languages
Internships/work experience with machine learning, deep learning, reinforcement learning
Background in machine learning techniques with large amounts of noisy data, curiosity in applying it to financial problems
Relevant research experience (publications at NeurIPS, ICML, ICLR or similar are preferred)
Experience with cloud environments and multi-machine setups
Participation in open source community

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

GRA and Postdoc positions available at CSE and BMI @ OSU

Openings Available at Ning Lab, OSU

The Ning Lab (https://u.osu.edu/ning.104/) at the Computer Science and Engineering (CSE) Department and the Biomedical Informatics (BMI) Department, the Ohio State University, provides unique opportunities and environment for the development of cutting-edge AI/ML methodologies and the application of the methods in high-impact, real-life medical and health problems. The Ning lab is conducting research on Data Mining, Machine Learning, and Artificial Intelligence with applications in drug discovery, Biomedical Informatics, and Recommender Systems. The research in the Lab is highly data-driven, computation-oriented and primarily focused on methodology development. The Lab develops new and better methods/algorithms/models to solve emerging and critical problems in healthcare and medicine domains. The new methodologies being developed in the Lab are also sufficiently generalizable to be applied to the problems from other domains (e.g., e-Commerce, social networks, system monitoring and diagnosis) that share similar characteristics as the targeted problems in healthcare and medicine domains. The typical techniques that the Lab develops include deep learning, deep generative models, reinforcement learning, information retrieval, learning to rank, recommendation, among others, and are applied to problems such as molecule optimization, drug property prediction, compound prioritization, drug selection, pharmacovigilance data mining, electronic medical record analysis, etc. The Lab is not, unfortunately, conducting wet-lab biological research, nor focused on mechanism discovery in the biological systems.

The Lab currently (as of Dec 1, 2021) has multiple openings for graduate students (Ph.D./M.S.), postdocs, and research staff.

Ph.D. students
The Lab is seeking 1-2 Ph.D. students (with full Research Assistantship support) on Machine Learning and Artificial Intelligence, starting as early as Fall 2022. The students will help develop novel computational techniques for problems in drug development, bioinformatics, medical informatics and health informatics, including, but not limited to, generative models for drug development, recommender systems, pharmacovigilance data mining, electronic medical record analysis.

Ideal candidates should be self-motivated and determined. They are expected to have a strong background in Math, statistics, Electrical and Computer Engineering, Computer Science and Engineering or Automation. Extensive programming experience in either C/C++, MATLAB or Python is preferred. Basic knowledge and experience in Data Mining and Machine Learning is also preferred.

Postdocs
The Lab is seeking 2 postdocs, starting immediately until the positions are filled. The postdoc candidates are expected to have a Ph.D. degree in Computer Science or related disciplines (e.g., Electrical Engineering, Statistics, Automation), conduct independent research in Machine Learning and Artificial Intelligence (e.g., doing research on deep learning) and have strong communication skills and leadership. The postdoc candidates are also expected to be highly self-motivated and have had a clear career goal set in mind. The postdocs will assist PI Ning on the methodology development in the current projects (e.g., drug repurposing, molecule optimization, recommender systems).

Compensation and benefits will be very competitive. If interested, please contact Dr. Ning (ning.104@osu.edu) with the updated CV.

Internship
The Lab provides internship opportunities for MS students and PhD students. Starting dates and durations are very flexible. Please contact Dr. Ning (ning.104@osu.edu) for more information.

Research Staff
The Lab provides full-time research staff positions. The candidates should have at least MS degrees in Computer Science or related disciplines (e.g., Electrical Engineering, Statistics, Automation), and have research experience in Machine Learning and Artificial Intelligence.
Please contact Dr. Ning (ning.104@osu.edu) for more information.