ibm phd fellowship awards program

College of Computing

Computing Students Awarded IBM Ph.D. Fellowships

Thursday, march 28, 2024, college of computing school of computer science school of interactive computing.

Two College of Computing Ph.D. students are receiving recognition for their academic excellence and exceptional research potential.

IBM Research selected Yonggan Fu and Grace Guo as recipients of 2023 IBM PhD Fellowship Awards.

The program supports Ph.D. students with expertise artificial intelligence (AI), hybrid cloud technology, quantum computing, data science, security, and the next generation of cutting-edge processors. Fu and Guo will each receive $40,000 and be paired with an IBM mentor during their fellowships.

Fu is a fifth-year Ph.D. student in Georgia Tech’s School of Computer Science. He is advised by Associate Professor Yingyan (Celine) Lin and is a member of her Efficient and Intelligent Computing (EIC) Lab .

Fu's research centers on democratizing cutting-edge AI technology on everyday devices by developing efficient and robust AI algorithms and co-designing the corresponding hardware accelerators. He focuses on efficient 3D reconstruction and efficient large language models.

“The goal of efficient 3D reconstruction is to reconstruct the 3D world on an artificial reality headset, which can enable you to do more in virtual reality,” said Fu.

Fu is interested in efficient AI because it has to capability to use AI to empower peoples’ everyday lives.

Fu says he is honored to receive the fellowship and is looking forward to what he will learn from his IBM mentor and the experience. After finishing his Ph.D., Fu hopes to work in industry continuing his work on efficient AI.

Associate Professor Alex Endert advises Guo, a fifth-year Ph.D. student in the School of Interactive Computing. She is a member of Endert’s Visual Analytics Lab , where he researchers AI, human-computer interaction and data visualization.

Guo has already interned at IBM, where she worked with researchers to create Causalvis, a Python library of interactive visualizations that inform casual inference — the process of drawing causal conclusions based on data.

She presented a paper on the subject at the 2023 Association for Computing Machinery’s Conference on Human Factors in Computing Systems (ACM CHI) in Hamburg, Germany.

“Every time I work there, I always have a great time,” Guo said about her work with IBM. “I get a mentor who is the researcher I had interned and wrote papers with.

“It’s exciting to be exposed to a lot of new ideas. There were many experts on causal inference at IBM, so it was interesting to learn about these new methods and statistical approaches.”

Guo said she isn’t sure whether she will pursue a career in academia or industry, but her time with IBM has made her lean toward industry. If all goes well during her fellowship, it makes sense to continue her research in industry, she said.

School of Interactive Computing communications officer Nathan Deen and School of Computer Science communications officer Morgan Usry contributed to this article.

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IBM Ph.D. Fellowship Awards Program

Strong collaboration with faculty, students and universities is vital to IBM. The IBM PhD Fellowship Program advances this collaboration by recognizing and supporting exceptional PhD students who want to make their mark in promising and disruptive technologies. Focus areas include the following topics of particular interest:

– AI/Cognitive Computing – Cloud/Open Source – Data Science – Internet of Things – Quantum Computing – Security/Cyber Security

Up to 2 years

$95,000 USD

In the US, fellowship recipients while in school will receive a stipend for living expenses, travel, and to attend conferences ($35,000 for 2020-2021 and $35,000 for 2021-2022). US fellowship recipients will also receive $25,000 toward their education in 2020-2021.

Students must be nominated by a doctoral faculty member and must be a full-time student in a PhD program over the two consecutive academic years of the award or forfeit their fellowship. Students should have three years remaining in their graduate program at the time of nomination. For example, nominees that are enrolled in a four-year graduate program should have completed two years of their graduate program as of summer 2020 in order to benefit the most. Students from US embargoed countries are not eligible for the program. Award recipients will be selected based on their overall potential for research excellence, the degree to which their technical interests align with those of IBM, and their academic progress to-date, as evidenced by publications and endorsements from their faculty advisor and department head. Students receiving a comparable fellowship or internship from another company or institution (does not include academic scholarships) during the same IBM funded academic period may not be eligible for an IBM PhD Fellowship.

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IBM — PhD Fellowship Award

Note to PIs: The following program summary is intended to be used for informational purposes only. It does not replace the sponsor’s actual funding opportunity announcement. Always review the most recent version of the sponsor’s full announcement to verify that the deadline has not changed and to identify the most current program requirements.

About the fellowship

Strong collaboration with faculty, students and universities is vital to IBM. The IBM PhD Fellowship Program advances this collaboration by recognizing and supporting exceptional PhD students who want to make their mark in promising and disruptive technologies. Focus areas include the following topics of particular interest:

• Hybrid Cloud
• Quantum Computing / Quantum Systems
• Artificial Intelligence
• Cloud / Open Source Technologies
• Security / Cyber Security
• Data Science

Eligibility

Nominations are welcome for students of all nationalities. Students must be nominated by a doctoral faculty member. Students should have three years remaining in their graduate program at the time of nomination. For example, nominees that are enrolled in a four-year graduate program should have completed two years of their graduate program as of summer 2021 in order to benefit the most. Non-US Citizens who wish to participate in an internship in the US must obtain work authorization under the specifics of their visa. Students from US embargoed countries are not eligible for the program.

Application deadline

Nominations for the annual IBM PhD Fellowship program begin the 3rd week of September and are accepted for 5 weeks. Notification of nominee status takes place in March of the following year.

Award amount and award period

The 2021 two-year IBM PhD Fellowships are awarded worldwide.

US country awards: $60,000 in award year one; $35,000 in award year two Other country awards: vary between $6,000-$25,000 each award year depending on country

All IBM PhD Fellowship awardees will be mentored by an IBMer in order to collaborate on a research or technology project for the duration of the award period and are strongly encouraged to do an internship during the first or second year of their award.

Visit https://www.research.ibm.com/university/awards/fellowships.html# .

Last updated: July 2021.

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• Northwestern Engineering

Taylor Olson and Lixu Wang Awarded IBM PhD Fellowships

Northwestern Engineering computer science PhD students Taylor Olson and Lixu Wang have been awarded IBM PhD Fellowships in recognition of their demonstrated academic excellence and innovative research.

Founded in 1951, the highly competitive, global IBM PhD Fellowship Award program is intended to support exceptional PhD students whose research is aligned with IBM focus areas, including artificial intelligence, hybrid cloud technology, quantum computing, responsible and inclusive technology, and security. Award recipients are nominated by faculty members and selected based on their potential for academic and research excellence.

Taylor Olson

Olson is a PhD candidate in computer science advised by Ken Forbus , Walter P. Murphy Professor of Computer Science at the McCormick School of Engineering and director of the Qualitative Reasoning Group .

Olson’s research lies at the intersection of human-centered artificial intelligence, epistemology, and philosophy. He investigates normative theories, logical reasoning, and machine learning, and aims to create responsible and inclusive artificial intelligence systems with social and moral competence.

Olson is currently working on a project to develop safer and more interpretable AI systems with moral guard rails.

“With all the hype around deep learning, some are attempting to create ethical AI systems by simply training on tons of ‘ethical’ data, but these models can be unreliable,” Olson said. “My project combines learning models with explicit moral rules and reasoning capabilities so the system aims to learn social norms from training data, but it can also reject those that are immoral. Philosophically analyzing this distinction between morality and convention is thus one of the most interesting and key aspects of this project.”

Olson acknowledged Forbus and his lab colleagues as well as Kyla Ebels-Duggan , professor of philosophy at Northwestern’s Weinberg College of Arts and Sciences, for their guidance and the many brainstorming sessions that helped shape his work.

“My research has allowed — really forced — me to explore and communicate things deep inside of myself,” Olson said. “To see that these have resonated with others makes this process feel communal and that means a great deal to me.”

Olson earned bachelor’s degrees in computer science and mathematics and a minor in philosophy from the University of Northern Iowa. While pursuing the mechanical engineering program at Kirkwood Community College, Olson was a starting all-region point guard with Kirkwood’s basketball team.

Wang is a PhD candidate in computer science and a visiting research scientist at General Motors in Detroit.

Drawing from techniques in federated learning, out-of-distribution generalization, continual learning, and secure multi-party computation, Wang is developing socially responsible large language and vision-language models.

He aims to develop secure and robust AI model training processes that both protect data privacy and defend against active attacks. He is also focused on ensuring that trained AI models are more responsible through approaches including strict access control of data or task distribution and intellectual property protection.

Wang is co-advised by assistant professor of computer science Xiao Wang and Qi Zhu , associate professor of electrical and computer engineering and (by courtesy) computer science at Northwestern Engineering. Wang earned a bachelor of engineering degree from Zhejiang University, advised by Wenyuan Xu .

“I really appreciate the professional and meticulous instruction from my advisors, Professor Qi Zhu and Professor Xiao Wang and I also want to thank my previous collaborators for their help and contributions,” Wang said.

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FUNDING MEMO

Title:  IBM PhD Fellowship Award Program

Funding Agency:  IBM

Internal Deadline:  12/08/2022 02:49 PM PST

External Deadline(s):

Cognizant Office:  OTTCP

Description:

Strong collaboration with faculty, students and universities is vital to IBM. The IBM PhD Fellowship Program advances this collaboration by recognizing and supporting exceptional PhD students who want to make their mark in promising and disruptive technologies.

Frequency:  Typically annual

Total Award:  $60,000

• US awards: $60,000 in award year one; $35,000 in award year two
• Students must be nominated by a doctoral faculty member and must be enrolled as a full-time student in an academic PhD program.
• Please forward all nominations to the Graduate Studies Office for review; all nominations must be approved by the Graduate Studies Office before submission to IBM.  No more than three nominations per department may be submitted to IBM.
• Notification of nominee status takes place in March of the following year.
• Once Graduate Studies Office approves your nomination, nominate your PhD student for an IBM PhD Fellowship Award

Indirect Costs:

• Any awarded fellowships will be considered “Pass-Through Fellowships” handled by the Graduate Office

Duration:  2 years

Discipline(s):  Biology and Biological Engineering; Engineering and Applied Science; Humanities and Social Sciences; Physics, Mathematics, and Astronomy

Eligibility:  Grad Student

Students must be nominated by a doctoral faculty member . The nominator provides the supporting documentation (CV, dissertation description, etc.), categorizes the student's initial career interests, and submits the nomination for evaluation.

All IBM PhD Fellowship awardees are matched with an IBM mentor according to their technical interests and are encouraged to participate in an internship at least once while completing their studies. Students receiving a comparable fellowship or internship from another company or institution during the same academic period may not be eligible for an IBM PhD Fellowship.

Students should have three years remaining in their graduate program at the time of nomination . The IBM PhD Fellowship is intended to cover the last two, research-oriented years of a PhD program. For example, nominees that are enrolled in a 4-year graduate program should have completed two years of their graduate program as of summer 2022 in order to benefit the most. Faculty receiving this email can submit nominations until Nov 5, 2021 regardless of the earlier date on the website.

Research Areas of Interest:

https://research.ibm.com/university/awards/fellowships-focus-areas.html Hybrid Cloud, AI, Security, Quantum Computing

Guidelines & Other Information:

Guidelines, FAQ, and Eligibility Requirements:

https://www.research.ibm.com/university/awards/fellowships.html

Opportunity ID: 1313

IBM PhD Fellowship

• Biological Sciences
• Physical Sciences
• Pritzker School of Molecular Engineering
• Social Sciences
• Winter Quarter (January-March)
• Professional training
• Must be nominated to apply
• No citizenship requirements

INTERNAL DEADLINE for 2023-2024: TBD upon competition announcement

The IBM PhD Fellowship is a competitive worldwide program, which honors exceptional PhD students who have an interest in solving problems that are important to IBM and fundamental to innovation in many academic disciplines and areas of study. Submitted applications should concentrate in one of the following IBM Focus Areas: Hybrid Cloud, Artificial Intelligence, Security, Quantum Computing, or Responsible and Inclusive Technology. A full elaboration of these areas is available on the IBM fellowship website .

The university is limited to four nominations each year.

APPLICATION PROCESS

Faculty must submit nominations to Kevin Doherty ([email protected]) by the internal deadline. Faculty are encouraged to contact an IBM colleague prior to submitting the nomination to assure mutual interest.

Consult the fellowship application form for a full elaboration of application requirements.

INTERNAL REVIEW

A committee comprised of faculty from eligible divisions will review all submitted nominations. Students and nominating faculty will then be notified whether they have been selected as one of the university’s four nominees and will receive further instructions in time to submit final applications by the funder deadline.

ELIGIBILITY

All students:

• must be nominated by a doctoral faculty member; students cannot nominate themselves.
• must be enrolled full-time in a PhD program over the academic year of the award or forfeit the fellowship.
• should have two years remaining in their program at the time of nomination so the fellowship can be applied to the last two years of study.
• that are from U.S. embargoed countries are not eligible for the program.
• that are receiving a comparable fellowship, internship, or support from another company or institution (except for academic scholarships) during the IBM PhD Fellowship funding period are ineligible for this award
• must stay in the same program for the duration of the award —no transferring of departments or schools.

Fellowship Website:

Fellowship Contact:

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19 PhD Students Awarded Prestigious Fellowships

Graduate students from the department have been selected to receive scholarships. The diverse group is a mix of those new to Columbia and students who have received fellowships for the year. 

IBM PhD Fellowship Award

Ibm has recognized and rewarded outstanding phd students around the world through its highly competitive ibm phd fellowship award program. the award recipients demonstrated academic excellence as well as provided innovative and exceptional research proposals..

Ding received an MS in Computer Science from Columbia University in 2019 and a BE in Software Engineering from the University of Electronic Science and Technology of China in 2018. In his free time, he enjoys various sports, regularly playing basketball and table tennis, but he is always looking for new sports to try.

Google Fellowship

The google phd fellowship program was created to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields..

Zachary Huang graduated with a BS degree in Computer Science from the University of Wisconsin-Madison in 2019. Besides the Google Ph.D. Fellowship, he also received the Columbia Data Science Institute’s Avanessian PhD Fellowship. In his leisure time, he develops video games.

DoD NDSEG Fellow

The department of defense national defense science and engineering graduate fellowship is awarded annually to u.s. citizens pursuing doctoral degrees in science and engineering disciplines..

Klotz graduated with a BS and MS in electrical and computer engineering from Carnegie Mellon University in 2022.

Sofaer graduated from New York University with a B.A. in Math and Computer Science in 2015. He bakes bread every week and loves to try new recipes.

NSF Graduate Research Fellowships Program

The grfp is a three-year fellowship that recognizes and supports outstanding graduate students in nsf-supported stem disciplines who are pursuing research-based master’s and doctoral degrees..

In May 2022, Blindenbach received a BS with Highest Distinction in Math and Computer Science from the University of Virginia. He is an avid swimmer who placed 19th at Dutch Nationals in the 100m butterfly and enjoys playing ragtime piano.

Carver received an MS in Computer Science from Dartmouth College in 2022 and a BS in Physics from Fordham University in 2018. Charlie won a Best Paper Award at NSDI’20, Best Demo at HotMobile’20, and the Grand Prize at the 2022 Dartmouth Innovation and Technology Festival. While at Fordham, he received the Victor F. Hess Award for the best record of achievement and service in Physics. He loves skiing, sailing, playing guitar, and caring for his two awesome cats.

Chuang graduated from Carnegie Mellon University with a BS in Computer Science in 2022. In his free time, he likes to draw and play board games.

Gadre graduated from Brown University with a ScB Computer Science in 2018. Before joining Columbia, he worked as a Software Engineer at Microsoft HoloLens.

Itagaki graduated in 2023 from the University of Washington with a BS in Neuroscience.

Zussman graduated from Columbia University in May 2023 with a BS in Computer Science with Minors in Applied Mathematics and Political Science. He was a C.P. Davis Scholar and received the Department of Computer Science’s Andrew P. Kosoresow Memorial Award for Excellence in Teaching and Service, the Data Science Institute’s Outstanding Course Assistant Award, and the Columbia University Leadership and Excellence Award for Principled Action.

NSF CISE Graduate Fellowship (CSGrad4US)

The csgrad4us program aims to increase the number and diversity of domestic graduate students pursuing research and innovation careers in computer and information science and engineering fields. the program helps bachelor’s degree holders return to academia and pursue their research interests, enabling them to engage in innovative and high-impact projects without the burden of financial constraints..

After receiving a BS in Computer Science from Tufts University in 2018, Meyer worked as a Computational Associate at the Broad Institute for five years. Meyer is a proud dog parent, enjoys talking about Linux, and plays the bassoon.

She graduated from the University of Nevada, Reno, with a BS in Electrical Engineering in 2013. She has received the Echostar Spot Award for outstanding performance on a satellite networking project, NAVAIR’s Flight Test Excellence Award for her work planning Tomahawk missile software test flights, the UNR Outstanding Student Service Awards for both the College of Engineering and the Department of Electrical Engineering, 1st and 2nd place in the IEEE Region 6 paper and design competition, respectively, and is a Tau Beta Pi engineering honors society lifetime member.

Her hobbies include running, lifting, hiking, reading science fiction and non-fiction, and caring for her orchids and potted fruit tree.

In 2021, she earned a BS in Electrical Engineering from Texas A&M University, College Station. In her spare time, she learns new languages by watching foreign films.

Graduate Fellowships for STEM Diversity (GFSD)

The gfsd was founded in 1989 “to increase the number of american citizens with graduate degrees in stem fields, emphasizing recruitment of a diverse applicant pool.”.

Chen graduated cum laude in 2021 from Cornell University with a BA in Computer Science and BA in Statistical Science. He also received an NSF Graduate Research Fellowship in 2021. He likes to keep active by going for runs and playing various sports like basketball and ultimate frisbee, enjoys listening to all sorts of music, and plays the violin, piano, and ukulele.

SEAS Fellowships

The school of engineering and applied sciences established the presidential and seas fellowships to recruit outstanding students from around the world to pursue graduate studies at the school., mudd fellows.

Li completed her BS in Computer Science at Georgia Institute of Technology in 2020 and an MS in Computer Science at Stanford University in 2023. Li enjoys arts and crafts, movies, musicals, and comedy. She is a comedic improviser and is a frequent visitor to Broadway shows.

Liu graduated summa cum laude with a BS in Mathematics and Computer Science from UC San Diego in 2023. She loves skiing, playing ping pong, and reading fiction in her spare time.

Greenwood Fellow

In 2021, Matthew completed an MEng and BS in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) with a double major in Mathematics and a minor in Theater Arts.

Tang Fellow

In 2023, Illick graduated with a BA in Computer Science from Columbia University. He enjoys playing squash and gardening.

SEAS Fellow

Xiaofeng earned an MS in Information Networking in 2023 from Carnegie Mellon University. In 2021, she graduated from Tsinghua University with a BS in Automation and a second degree in Philosophy.

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Press mentions, dean boyce's statement on amicus brief filed by president bollinger.

President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor

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Graduate Fellowships, Grants and Awards

Information about Berkeley and extramural fellowships, grants and awards including deadlines and applications, can be found in the table below.  

Additional options: 

There are many fellowship options national wide to help cover the costs. We have compiled a list of national fellowship databases to aid in your search.

The Graduate Division provides fellowship awards for entering doctoral students to programs to aid in the recruitment of outstanding doctoral and masters students, including those who will enhance the diversity of the graduate student population at Berkeley. These fellowships are awarded at the departmental level as part of the admissions process.

File your Free Application for Federal Student Aid (FAFSA) by March 2, 2015 , the deadline for California residency eligibility for 2015-2016 fellowship and grant proposals.

Fellowships, Grants and Awards Coordinated by the Graduate Division (University and Extramural)

Fellowships and awards coordinated by uc berkeley.

UC Berkeley coordinates awards outlined below. To learn more about these awards, contact the program department directly.

Extramural Fellowships

Extramural fellowships are those awarded by governmental agencies, private foundations, and corporations. Applying for extramural fellowships can be a lengthy and time-consuming process. Begin your search early, at least one year before the intended onset of funding. Prospective students applying for extramural fellowships should consult The Grants Register and the Annual Register of Grant Support at their campus or local library for information. A partial list of extramural fellowships and deadlines appears below. Some of the deadlines are approximations based on competitions from the previous year. To learn more, explore our list of fellowships databases .

BTP trainee earns NSF Graduate Research Fellowship Program award

Abigail Cordiner, a graduate student in the Palecek Lab in the Department of Chemical and Biological Engineering and a Biotechnology Training Program trainee, was among this year’s recipients. Cordiner’s research works on improving protocol used to differentiate from stem cells to heart muscle cells using synthetic biology techniques. “Being awarded the GRFP is a massive honor,” says Cordiner. “The fellowship will give me more flexibility in my research and will allow us to deepen our investigation. The GRFP will also help me develop a network of researchers that will help to build my career as a researcher.”

Gemayel receives Graduate Research Fellowship Program (GRFP) Award

Predoctoral Trainee Georgina Gemayel received a Graduate Research Fellowship Program (GRFP) Award. Gemayel is a MA/doctoral student in the department of Geography, advised by Clark Gray. Other recipients include Adriana Wisniewski (Biological Anthropology), advised by Amanda Thompson and Athena Owirodu, a PhD student in the Department of Sociology.

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Melody Kramer Director of Communications [email protected]

• GradPost Blog

Google PhD Fellowship nominations now open

The UCSB Graduate Division is accepting applications for the Google PhD Fellowship. Google created this Fellowship Program to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields. The Fellowship, which can last up to three years, provides full tuition and fees plus a stipend. UCSB students should submit applications for internal review by April 26 at 5pm.

The UCSB Graduate Division is now accepting applications for the Google PhD Fellowship . Google created this Fellowship Program to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields.

Award The Fellowship, which can last up to three years, provides full tuition and fees plus a stipend to be used for living expenses, travel and personal equipment. Also, recipients will be matched with a Google Research Mentor.

Deadline UCSB students should submit their full application packet by April 26 at 5pm Pacific.

Eligibility Universities may only nominate students that meet the following requirements:

• Full-time graduate students pursuing a PhD and enrolled in an institution in one of the regions listed above.
• Completed graduate coursework by the academic award year when the Fellowship begins.
• Students must remain enrolled full-time in the PhD program for the duration of the Fellowship or forfeit the award.
• Google employees, and their spouses, children, and members of their household are not eligible.
• Students that are already supported by a comparable industry award are not eligible. Government or non-profit organization funding is exempt.

Nomination and Application PhD students must me nominated by their university. Universities are able to nominate up to four eligible students. If UCSB nominates more than two students, Google strongly encourages us to select nominees who self-identify as a woman, Black / African descent, Hispanic / Latino / Latinx, Indigenous, and/or a person with a disability.

Visit the Fellowship website's FAQ for information about eligibility, application requirements.

You can submit your application to be a UCSB nominee by filling out this form . Applications must be uploaded as a single PDF document.

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Nominations for the 2015-2016 academic year will be accepted from September 18 to October 28, 2014

About the program

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• Technology that creates new business and social value Close interaction with clients to develop innovative solutions to solve their toughest technical challenges. Examples include data analytics for drug discovery, social media analytics for new business models in retail, design of enterprise mobile applications, etc. The IBM Customer Experience Lab at the Watson Research Center provides a unique environment for researchers to work hand in hand with clients, using the latest technology platforms to develop and deliver innovative solutions for the most demanding industry needs.
• Cognitive Computing research The availability of large amounts of structured and unstructured data from business and public records, mobile devices, sensors and social media has brought the traditional artificial intelligence discipline to the era of Cognitive Computing. Individuals, professionals and businesses need help from cognitive machines to make sense of the many things that concern them on a near- real time basis. The active areas of research include natural language processing, assisted and automated machine learning, creation of knowledge representations and scalable querying techniques, multimedia analytics, contextual computing, recommendation and reasoning systems, a close collaboration between humans and machines on human terms, a rich platform and tools that support the creation and support of the cognitive applications, etc. IBM Research is closely tied to the IBM Watson Group for taking the research technology to market.

The next generation computer hardware architecture will enable the systems and datacenters of the future, providing the foundation for our enterprise cloud computing capabilities. Some specific enablers include: accelerators, components and performance tuning technologies; storage and compute (Power, Mainframe) system technologies, composable (dis-aggregated) systems inclusive of compute migration to memory; storage and throughout the system hierarchy; next-generation networking architecture and switching technology enabling datacenter "flattening" and associated software such as system compilers, operating systems (AIX, Z/OS), general parallel file system and object store.

The next-generation software architecture will provide (a) contextual and adaptive security and compliance and enable (b) foundations for solutions providers inclusive of a very agile feedback-driven Dev/Ops cycle, business insights through a system of insight cloud platform that marries systems of engagement and systems of record data and the building blocks of the next-generation API economy; (c) hybrid cloud foundations for enterprise client workloads, where data and programs are in many places including public and private machines; and (d) container cloud capabilities. Some specific enablers for all of these include: application integration middleware; programming languages, models, runtimes and tools; software engineering methodology inclusive of experiment execution and app refinement; cloud platform/infrastructure, storage and networking services and enhanced labor centric service delivery through automation, optimization and analytics.

• Fundamental science and technology New materials, devices, and processes to extend core logic and memory technology roadmaps further into the nanotechnology regime, and new computing devices and architectures beyond the conventional von Neumann architecture such as neuromorphic and quantum.

Preference will be given to students who have had an IBM internship or have closely collaborated with technical or services people from IBM.

The IBM Ph.D. Fellowship Awards program also supports our long-standing commitment to workforce diversity. IBM values diversity in the workplace and encourages nominations of women, minorities and all who contribute to that diversity.

Awardees will have an opportunity to be recognized on IBM websites and communications.

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The IBM Ph.D. Fellowships are awarded worldwide. IBM Ph.D. Fellows are awarded a stipend for one academic year. Fellowships vary by country/geographic area, and the students will be informed at the time of the award what the value is for their country/geographic area.

All IBM Ph.D. Fellows are matched with an IBM Mentor according to their technical interests, and they are strongly encouraged to participate in at least one internship at IBM while completing their studies. Interns are paid by their host site and will be subject to the prevailing terms and conditions of the internship program at that site. IBM is an equal opportunity employer.

After receiving an award, an Award Recipient may be renominated the following year for consideration to receive another IBM Ph.D. Fellowship, based on the Award Recipient's continued exceptional academic standing, progress and achievement, and sustained interaction with IBM's technical community. A student may compete annually and be awarded a maximum of three years. IBM requests that a maximum of two nominations per department be submitted, in addition to any renewal nominations.

Students must be nominated by a doctoral faculty member and enrolled full-time in a college or university Ph.D. program. The faculty member is encouraged to contact an IBM colleague prior to submitting the nomination to assure mutual interest. Students from Europe and Russia may be nominated in their first year of study in their doctoral program. Outside of Europe and Russia, students must have completed at least one year of study in their doctoral program at the time of their nomination. Students from U.S. embargoed countries are not eligible for the program. Award Recipients will be selected based on their overall potential for research excellence, the degree to which their technical interests align with those of IBM, and their academic progress to-date, as evidenced by publications and endorsements from their faculty advisor and department head. While students may accept other supplemental fellowships, to be eligible for the IBM Ph.D. Fellowship Award they may not accept a major award in addition to the IBM Ph.D. Fellowship.

For further information, see frequently asked questions or contact [email protected] .

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PhD student receives fellowship from Apple Scholars program

Nataliya Nechyporenko, a computer science Ph.D. student, has received a PhD fellowship in AI and Machine Learning (AIML) through the Apple Scholars program . The program was created by Apple to recognize the contributions of emerging leaders in computer science and engineering at the graduate and postgraduate level. 

The fellowship provides Nechyporenko support for her research and academic travel for two years, internship opportunities and a two-year mentorship with an Apple researcher. 

Let's learn more about Nechyporenko's research aims and her perspective on the future of robotics research: 

What research do you hope to accomplish through this fellowship?

Think about how you might manually feel around an object to understand its shape, weight, and texture. Or if something is in your way, you'd just push it aside without overthinking it. If you drop something, you'll persistently keep trying to pick it up from different angles until you get it. As you're doing these everyday tasks, you're constantly building up an intuitive sense of your surroundings through trial-and-error. That's the kind of resourceful, flexible, multi-sensory approach I want robots to have when manipulating things – rather than just blindly following a fixed routine. 

The goal is for robotic arms to move and behave with that same kind of curious, improvisational, problem-solving spirit we take for granted as humans. As an Apple AIML scholar, I hope to gain insights into this problem with the help of a fresh network of mentors and collaborators.  

Is this an extension of work you are already doing in your lab? If so, how?

Driven to establish contact-rich planning as a dominant feature in robotics, I focused the first two years of my PhD on analyzing the methods used by state-of-the-art planners and solving the shortcomings leading to the lack of physical robot interaction. 

I have started to extend this work by integrating the empirical formulation of machine learning with model-based algorithmic approaches. I believe this is the path to making robots more adaptable to chaotic human environments. I will continue this work as an Apple scholar. 

What do you think of the current hype around AI and ML? What do you wish people understood about this research area?

The AI and machine learning hype trains have been barreling full steam ahead lately. But robotics? That's an entirely different beast that doesn't follow the overnight disruption narratives. It's a synergy of achievements in areas like materials, manufacturing, sensing, controls theory, and others aligning to reshape the physical world. 

The robotics future will reshape industries and labor concepts, but it will be catalyzed through the patient advancement of many disciplines.

How did you come to study at CU Boulder?

I spent a couple years in the trenches, getting my hands dirty actually building and deploying robots in industry. But after a while, I got this craving -- like there was so much more potential waiting to be unlocked if I could really dive into the deep scientific questions around robotics. That's why I decided to take the plunge back into academia.

What is one of your plans or hopes for the future, either professionally or personally?

I hope to be an expert, a leader, a thinker and a builder. Outside of research endeavors, I aim to be a leader and educator for the robotics and the AI community. Previously, I’ve led volunteering activities, mentored students, and co-organized events that foster discussions around AI. I hope to continue to do so in the future at a larger scale. 

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Nataliya Nechyporenko

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Graduate student Michael Calzadilla awarded 2024 NASA Hubble Fellowship

Michael Calzadilla grew up in Tampa, Florida. As a first-generation college student, he earned his bachelor’s degree in physics from the University of South Florida in 2015. He subsequently crossed the pond to complete a master’s degree in astronomy as a Gates Cambridge scholar under the guidance of Professor Andrew Fabian at the University of Cambridge. Michael will complete his doctorate in physics at the Massachusetts Institute of Technology in May 2024 with his advisor Professor Michael McDonald .

Michael’s work focuses on multiwavelength observations of galaxy clusters to study the baryon cycle that drives the evolution of all galaxies. The largest galaxies residing in these clusters grow via material cooling from their hot atmospheres, which is balanced by feedback from star formation and active galactic nuclei. As part of the South Pole Telescope collaboration, Michael’s work is among the first to leverage recent Sunyaev-Zeldovich-based detections of galaxy clusters to observe this cycling of material out to unprecedented redshifts.

As a Hubble Fellow, Michael will develop machine learning techniques for characterizing the thousands of galaxy clusters being discovered by next-generation cosmological surveys resulting in clean, unbiased samples of the earliest galaxy clusters. Using synergies with large X-ray, optical, and radio datasets, he will seek to answer when galaxy clusters first dynamically relaxed, and how the effectiveness of supermassive black hole feedback has changed over time. He will also use new observatories for more targeted follow-up to investigate the role of feedback-induced turbulence in regulating galaxy growth.

See NASA press release:  https://science.nasa.gov/missions/hubble/nasa-awards-astrophysics-postdoctoral-fellowships-for-2024/ See also   https://www.stsci.edu/stsci-research/fellowships/nasa-hubble-fellowship-program/2024-nhfp-fellows )

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NASA Awards Astrophysics Postdoctoral Fellowships for 2024

The highly competitive NASA Hubble Fellowship Program (NHFP) recently named 24 new fellows to its 2024 roster. The program fosters excellence and inclusive leadership in astrophysics by supporting a diverse group of exceptionally promising and innovative early-career astrophysicists.

The NHFP enables outstanding postdoctoral scientists to pursue independent research in any area of NASA Astrophysics, using theory, observations, simulations, experimentation, or instrument development. Over 520 applicants vied for the 2024 fellowships. Each fellowship provides the awardee up to three years of support at a U.S. institution.

Once selected, fellows are named to one of three sub-categories corresponding to three broad scientific questions that NASA seeks to answer about the universe:

• How does the universe work? – Einstein Fellows
• How did we get here? – Hubble Fellows
• Are we alone? – Sagan Fellows

"The NASA Hubble Fellowship Program is a highly competitive program, and this year's cadre of Fellows are to be congratulated on their selection," said Mark Clampin, director of the Astrophysics Division at NASA Headquarters in Washington, D.C. "They will undoubtably be future leaders in the field of Astronomy and Astrophysics."

The list below provides the names of the 2024 awardees, their fellowship host institutions, and their proposed research topics.

2024 NASA Hubble Fellowship Program:

How does the universe work? – Einstein Fellows:

• Vishal Baibhav , Columbia University,  Dancing with Black Holes: Harnessing gravitational waves to understand the formation of black holes
• Jordy Davelaar , Princeton University,  Unraveling the physics of accreting black hole binaries
• Alexander Dittmann , Institute for Advanced Study,  Bridging the Gap in Supermassive Black Hole Binary Accretion – From Simulation to Observation
• Cristhian Garcia Quintero , Harvard University,  Phenomenological modified gravity in the non-linear regime and improving BAO measurements with Stage-IV surveys
• Amelia (Lia) Hankla , University of Maryland, College Park,  Explaining Radio to X-ray Observations of Luminous Black Holes with a Multizone Outflowing Corona Model
• Keefe Mitman , Cornell University,  Decoding General Relativity with Next-Generation Numerical Relativity Waveforms

How did we get here? – Hubble Fellows:

• Michael Calzadilla , Smithsonian Astrophysical Observatory,  A Multiwavelength View of the Evolving Baryon Cycle in Galaxy Clusters
• Sanskriti Das , Stanford University,  Where the energetic universe meets the hot universe
• Yue Hu , Institute for Advanced Study,  The Role of Magnetic Field in Galaxy Cluster’s Diffuse Structure Formation
• Wynn Jacobson-Galan , California Institute of Technology,  Final Moments: Uncovering the Rate of Enhanced Red Supergiant Mass-loss in the Local Volume
• Madeleine McKenzie , Carnegie Observatories,  Uncovering the unknown origins of globular clusters
• Jed McKinney , University of Texas, Austin,  The Role of Dust in Shaping the Evolution of Galaxies
• Andrew Saydjari , Princeton University,  Inferring Kinematic and Chemical Maps of Galactic Dust
• Peter Senchyna , Carnegie Observatories,  Bridging the Gap: Bringing the First Galaxies into Focus with Local Laboratories
• Raphael Skalidis , California Institute of Technology,  Magnetic fields in the multiphase interstellar medium
• Adam Smercina , Space Telescope Science Institute,  A Portrait of the Triangulum: Advancing a New Frontier of Galaxy Evolution with Resolved Stars

Are we alone? – Sagan Fellows:

• Jaren Ashcraft , University of California, Santa Barbara,  Optimizing the Vector Field for Next-generation Astrophysics
• Kiersten Boley , Carnegie Earth and Planets Laboratory,  Identifying the Key Materials for Planet Formation and Evolution
• Cheng Han Hsieh , University of Texas, Austin,  A Deep Dive into the Early Evolution of Protoplanetary Disk Substructures and the Onset of Planet and Star Formation
• Rafael Luque , University of Chicago,  Understanding the origin and nature of sub-Neptunes
• Sarah Moran , NASA Goddard Space Flight Center,  From Stars to Storms: Planetary Cloud Seeding with Sulfur-based Hazes
• Shangjia Zhang , Columbia University,  Probing Young Planet Populations with 3D Self-Consistent Disk Thermodynamics
• Lily Zhao , University of Chicago,  Enabling Radial Velocity Detection of Earth-Twins Through Data-Driven Algorithms and Community Collaboration
• Sebastian Zieba , Smithsonian Astrophysics Observatory,  Characterization of rocky exoplanet surfaces and atmospheres in the JWST  era

An important part of the NHFP is the annual Symposium, which allows Fellows the opportunity to present results of their research, and to meet each other and the scientific and administrative staff who manage the program. The 2023 Symposium was held at the Center for Astrophysics in Cambridge, Massachusetts. Science topics ranged through exoplanets, gravitational waves, fast radio bursts, cosmology and more. Non-science sessions included discussions about career paths, fellows’ plans for mentoring and to increase diversity, equity, and inclusion in the NHFP, as well as an open mic highlighting an array of talents outside of astrophysics.

The Space Telescope Science Institute in Baltimore, Maryland administers the NHFP on behalf of NASA, in collaboration with the Chandra X-ray Center at the Smithsonian Astrophysical Observatory in Cambridge, Massachusetts, and the NASA Exoplanet Science Institute at Caltech/IPAC in Pasadena, California.

Short bios and photos of the 2024 NHFP Fellows can be found at: https://www.stsci.edu/stsci-research/fellowships/nasa-hubble-fellowship-program/2024-nhfp-fellows

Media Contacts :

Claire Andreoli NASA's  Goddard Space Flight Center ,  Greenbelt, MD [email protected]

Cheryl Gundy Space Telescope Science Institute, Baltimore, MD

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