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163 PhD jobs in Computer Science

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• PhD positions in Machine Learning (77)
• PhD positions in Artificial Intelligence (70)
• PhD positions in Programming Languages (65)
• PhD positions in Computational Sciences (44)
• PhD positions in Algorithms (37)

Other main fields

• PhD positions in Engineering (262)
• PhD positions in Chemistry (119)
• PhD positions in Biology (118)
• PhD positions in Physics (117)
• PhD positions in Medicine (77)

Search results (163)

PhD Position in Robotic System Integration for Musculoskeletal Robotic Hands

PhD Position in Robotic System Integration for Musculoskeletal Robotic HandsProject backgroundThe future of robotic manipulation lies in the development of systems that closely mimic the complex st...

Doctoral researcher in Dynamic stochastic learning of train dynamics as enabler to highly automated train operation

Doctoral researcher in Dynamic stochastic learning of train dynamics as enabler to highly automated train operationThis project aims at developing a parsimonious and accurate dynamic model of train...

EngD position: SenseHeat Plug-and-play measurement kit to facilitate crowdsourcing of urban temperature data

Job descriptionUrban areas, with their intricate infrastructure, are at the forefront of climate challenges. The unique composition of each street, from vegetation and building heights to road mate...

Doctoral scholarship holder digital heritage

Let’s shape the future - University of AntwerpThe University of Antwerp is a dynamic, forward-thinking, European university. We offer an innovative academic education to more than 20000 students, c...

PhD in Advanced hybridization of metaheuristics and constraint programming techniques for the integration of energy constraints in assembly line balancing problems

Location : Laboratory of Informatics, Modelling and Optimization of the Systems (LIMOS UMR CNRS 6158) – Campus des Cézeaux – 1 rue de la Cherbade, 63178 AubièreSupervision : Laurent Deroussi (LIMOS, co-supervisor) Nathalie Grangeon (LIMOS, co-supe...

PhD candidate in Responsible Research Methods (1.0 FTE)

Vacancy number 14770Job type PhD positionsHours (in fte) 1,0External/ internal ExternalLocation LeidenPlaced on 16 April 2024Closing date 24 May 2024 38 more days to applyPhD candidate in Responsible Research Methods (1.0 FTE)Are you interested in...

PhD Position in Computational Biology: Using Machine Learning to Understand the Immune System

Are you an aspiring data science researcher with an interest in human immunology, causal inference in dynamical systems, and/or computer vision? Would you like to apply AI and machine learning for fundamental research in biology? Then you have a p...

PhD Candidate: Computational Cognitive Science at the Donders Centre for Cognition

Employment 0.8 - 1.0 FTEGross monthly salary € 2,770 - € 3,539Required background Research University DegreeOrganizational unit Faculty of Social SciencesApplication deadline 22 May 2024The Donders Centre for Cognition is looking for a PhD candida...

PhD Candidates for Social Studies of Scholarly Communication and Peer Review

Employment 1.0 FTEGross monthly salary € 2,770 - € 3,539Required background Research University DegreeOrganizational unit Faculty of ScienceApplication deadline 13 May 2024Do you want to investigate how transformative developments are shaping the ...

PhD on Real-Time Rendering of Diffusion MRI Tractography Data

Revolutionize neuroscientific visualization with real-time cinematic tractography. Join our innovative PhD project to develop cutting-edge brain visualizations, bridging the gap between data complexity and clinical interpretation. Collaborate with...

EngD in Interactive AI and Dementia Care

Position Engineering Doctorate (EngD)Irène Curie Fellowship NoDepartment(s) Industrial DesignFTE 1,0Date off 19/05/2024Reference number V51.7420Job descriptionThe Department of Industrial Design of the TU/e is offering a fully-funded 2-year positi...

Doctoral student in control and social learning with large-language models

Project descriptionThird-cycle subject: Electrical EngineeringThis PhD project aims at understanding the behavior of LLM (Large Language Model)-powered agents, as they interact with humans or other...

Graduate teaching & research assistant data science

Phd candidate in geo artificial intelligence for planetary health.

Job descriptionHelp us to further understand the interplay of global environmental change and people’s health by developing and applying cutting-edge geo-data engineering and geo-artificial intelli...

PhD researcher Intelligent Wireless Networking on 6G RAN Optimization

Last application date Oct 30, 2024 00:00Department TW05 - Department of Information TechnologyContract Limited durationDegree Master in Computer Science, Mathematics, Artificial Intelligence, or equivalentOccupancy rate 100%Vacancy type Research s...

PhD Positions in Cancer Research

Are you looking for excellent research opportunities for your PhD studies at the forefront of cancer research? The German Cancer Research Center (DKFZ) in Heidelberg invites international students holding a Master’s degree in (molecular) biology, ...

Upcoming fully funded PhD Positions in Neurosciences and Translational Psychiatry research, including a residency/PhD track option for medical doctors

There are no tuition fees for this PhD program.We welcome applications through our online application portal starting on August 15, 2023 for a start in fall 2024. The application deadline will be on October 31, 2023. The International Max Planck R...

Upcoming PhD Positions at the International Max Planck Research School for Molecules of Life in Autumn 2023

More information for the new call-out will come up during Autumn 2023. Stay tuned!The International Max Planck Research School for Molecules of Life (IMPRS-ML) will have an open call for fully-funded PhD student positions in the areas of biochemis...

PhD Position: Personalized Prediction and Prevention of Dropouts in Digital Biomarker Studies

PhD Position: Personalized Prediction and Prevention of Dropouts in Digital Biomarker StudiesExciting technological advances in wearables and biosensors rapidly transform how we monitor and manage ...

PhD Students

The CISPA Helmholtz Center for Information Security is looking for PhD Students in areas related to:Cybersecurity, Privacy and CryptographyMachine Learning and Data ScienceEfficient Algorithms and Foundations of Theoretical Computer ScienceSoftwar...

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Pursuing A Part-Time Phd In Computer Science: What You Need To Know

Earning a PhD is the pinnacle of academic achievement in computer science, opening doors to research, teaching, and leadership roles. But taking 4+ years off work for a full-time program isn’t feasible for everyone.

Part-time PhD options allow professionals to attain this goal while continuing their careers.

If you’re short on time, here’s the key takeaway: Part-time CS PhD programs typically take 5-7 years to complete . They provide flexibility for working students but require diligence to balance school, research, and professional demands.

The Benefits of a Part-Time CS PhD

Progress academically without leaving your job.

A part-time PhD in Computer Science offers the unique opportunity to advance your academic career while still maintaining your professional commitments. This flexibility allows you to continue working in your current job, providing financial stability and practical application of your studies.

Balancing work and study can be challenging, but the rewards are worth it. By pursuing a part-time PhD, you can deepen your knowledge in your chosen field and make significant contributions to the advancement of computer science.

Network with faculty and peers in your field

One of the key advantages of pursuing a part-time PhD in Computer Science is the opportunity to network with esteemed faculty members and like-minded peers who share your passion for the subject. Interacting with experts in the field can provide valuable insights, guidance, and collaboration opportunities.

Attending conferences, workshops, and seminars can further expand your network and expose you to the latest developments in computer science. Building these connections can open doors to new opportunities and enhance your career prospects.

Strengthen research skills and resume

A part-time PhD program allows you to develop and refine your research skills, which are highly valued in the field of computer science. Through conducting in-depth research, analyzing data, and writing scholarly papers, you can enhance your ability to critically think, problem solve, and contribute to the body of knowledge in your area of expertise.

Moreover, having a PhD in Computer Science on your resume demonstrates your dedication, perseverance, and expertise, making you a highly sought-after candidate for both academic and industry positions.

Program Structure and Requirements

Reduced course load each semester.

Pursuing a part-time PhD in Computer Science offers flexibility in terms of course load. Unlike full-time students, part-time students typically take a reduced number of courses each semester. This allows them to balance their academic commitments with other personal and professional responsibilities.

By taking fewer courses at a time, part-time students can focus on their coursework more effectively and ensure a better understanding of the material.

Original dissertation research

The cornerstone of a part-time PhD program in Computer Science is the dissertation research. Students are required to embark on an original research project under the guidance of a faculty advisor. This research should contribute to the existing body of knowledge in the field and demonstrate a deep understanding of a specific area of computer science.

The research can involve developing new algorithms, designing innovative software systems, or exploring cutting-edge technologies.

Qualifying exams and proposal defense

Part-time PhD students in Computer Science are typically required to pass qualifying exams to demonstrate their readiness for conducting research. These exams assess the student’s knowledge and understanding of the core concepts in the field.

Once the exams are passed, students need to prepare a research proposal outlining the objectives, methodology, and expected contributions of their dissertation. The proposal is then defended in front of a committee of faculty members who evaluate its feasibility and significance.

It’s important to note that the specific structure and requirements of a part-time PhD program in Computer Science may vary depending on the institution. It is advisable to consult the program’s official website or contact the program coordinator for more detailed information.

Finding the Right Program

When pursuing a part-time PhD in Computer Science, finding the right program is crucial for success. Here are some key factors to consider:

On-campus and online options

One of the first decisions to make is whether to pursue your PhD on-campus or online. On-campus programs offer the benefit of face-to-face interactions with professors and fellow students, while online programs provide flexibility for those who are working or have other commitments.

It’s important to weigh the pros and cons of each option and choose the one that aligns best with your lifestyle and goals.

Focus on faculty research expertise

Another important factor to consider when choosing a program is the faculty’s research expertise. Look for programs where the faculty members have research interests and expertise that align with your own.

This will ensure that you receive guidance and mentorship from experts in your field of interest. Additionally, professors with strong research backgrounds can provide valuable networking opportunities and connections in the industry.

Funding availability

Funding is a significant consideration for many part-time PhD students. Look for programs that offer funding options such as scholarships, grants, or assistantships. These can help alleviate the financial burden and allow you to focus on your studies.

It’s also worth exploring external funding opportunities from organizations or government agencies that support research in your field.

Managing Your Time Effectively

Stay organized with schedules and goals.

When pursuing a part-time PhD in computer science, time management becomes crucial. It is important to create a schedule that includes dedicated study hours, research time, and coursework completion. By setting goals for each week or month, you can track your progress and ensure that you are staying on track.

One effective strategy is to use a planner or a digital calendar to keep track of deadlines, meetings, and other important events. By having a visual representation of your commitments, you can prioritize your tasks and allocate time accordingly.

Additionally, breaking down larger tasks into smaller, manageable chunks can help you stay organized and prevent overwhelm. By setting realistic goals for each study session, you can make progress towards your PhD while still managing other responsibilities.

Communicate needs clearly at work

When pursuing a part-time PhD, it is essential to communicate your needs with your employer or colleagues. Letting them know about your academic commitments and the time required for your studies can help them understand your availability and make necessary adjustments.

Consider having a conversation with your supervisor or manager to discuss your situation and explore potential flexible working arrangements. This could include adjusting your work schedule, reducing your workload, or even exploring opportunities for research collaboration between your job and your PhD.

Open and honest communication can go a long way in ensuring that both your work and academic responsibilities are managed effectively.

Leverage support systems

Pursuing a part-time PhD can be challenging, but you don’t have to do it alone. It is crucial to leverage the support systems available to you.

Reach out to your academic advisor or supervisor for guidance and support. They can provide valuable insights on managing your time, selecting courses, and balancing your academic and work commitments.

Additionally, consider joining or forming study groups with fellow part-time PhD students. Collaborating with others who are facing similar challenges can provide a sense of camaraderie and support. You can share study materials, discuss research ideas, and offer each other encouragement along the way.

Lastly, don’t forget about the support of your family and friends. Let them know about your academic journey and the challenges you may face. Their understanding and encouragement can help you stay motivated and focused on your goals.

Remember, pursuing a part-time PhD in computer science requires dedication, discipline, and effective time management. By staying organized, communicating your needs, and leveraging support systems, you can successfully navigate this exciting academic journey while maintaining a balance with your work and personal life.

Completion, Careers and Next Steps

Job prospects post-phd.

Completing a part-time PhD in computer science opens up a world of exciting job prospects. With a doctoral degree in this field, you are well-equipped to pursue highly specialized positions in both industry and academia.

The demand for computer science professionals continues to grow, and obtaining a PhD can give you a competitive edge in the job market. According to the Bureau of Labor Statistics, the employment of computer and information research scientists is projected to grow 15 percent from 2019 to 2029, much faster than the average for all occupations.

This means that there will be ample opportunities for individuals with advanced degrees in computer science.

Potential teaching and research roles

One of the key benefits of earning a PhD in computer science is the opportunity to pursue teaching and research roles. Many universities and research institutions are constantly seeking experts in the field to join their faculty and contribute to cutting-edge research.

As a PhD holder, you can become a professor, teaching and mentoring the next generation of computer scientists. Additionally, you can engage in research projects, pushing the boundaries of knowledge in the field and making significant contributions to the advancement of technology.

The opportunity to share your expertise and make a lasting impact in the academic community is truly rewarding.

Higher salaries and senior positions

Earning a PhD in computer science can also lead to higher salaries and senior positions. With the advanced knowledge and skills gained during your doctoral studies, you become a valuable asset to companies and organizations.

Employers often recognize the expertise and dedication required to complete a PhD, and are willing to offer higher salaries to attract and retain top talent. In addition, holding a doctoral degree can open doors to senior management and leadership positions, where you can have a greater influence on strategic decisions and shape the direction of the company.

According to a survey conducted by the National Association of Colleges and Employers, computer science PhD graduates earned an average starting salary of $123,000 in 2020, significantly higher than those with a bachelor’s or master’s degree.

While requiring diligence and time management skills, part-time computer science PhD programs make this high-level credential attainable for busy professionals. From strengthening your research abilities to opening new career doors, the long-term benefits of earning a PhD on a flexible schedule are immense.

If you’re willing to balance work, research, and coursework, a part-time CS PhD can help you achieve your pinnacle academic and career aspirations.

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Our teams are innovating at the cutting edge of their fields in order to tackle challenges and build products that impact billions of people every day.

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The research conducted at google has broadened dramatically, becoming more important to our mission than ever before..

We aim to create a research environment rich in opportunities for product impact, to build a product environment that actively benefits from research, and to provide our staff the freedom to work on important research problems that go beyond immediate product needs.

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From Accra to Zürich, to our home base in Mountain View and beyond, we’re looking for talented, creative computer scientists to drive our work forward.

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Our teams in Atlanta focus on theoretical and application aspects of computer science with a strong focus on machine learning and the algorithmic foundations and theoretical underpinnings of deep learning, with applications to natural language understanding, machine perception, robotics, and ubiquitous computing and sensing.

Our teams in Cambridge work closely with academics at local universities as well as collaborators at local institutes with a goal to impact both Google’s products and general scientific progress. We accomplish this by releasing open source tools, publishing our work and sharing our findings with the academic community.

More boardshorts than boardroom, high tech meets high tide at Google L.A. Our engineers work on such high-impact products as Ads, Chrome, and YouTube, while our sales teams push the limits of digital advertising for top-tier clients. Take advantage of our picture-perfect SoCal weather by hitting the rock wall and elevate team strategy sessions with a game of oversized chess on the roof deck. In-house coffee and juice bars provide pick-me-ups, and beach breaks double as brainstorm sessions when you borrow one of our 4-seat surrey bikes, beach cruisers, or surfboards and head to the boardwalk.

Google Research in Montreal performs both open-ended and applied research, in numerous areas including reinforcement learning, meta-learning, optimization, program synthesis, generative modeling, machine translation, and more. We also support the local academic community and have several academic collaborations, including with Mila – Quebec Artificial Intelligence Institute.

Our headquarters has come a long way from its humble roots in a Menlo Park garage, but our innovative Silicon Valley spirit is stronger than ever. On our largest campus, we work on cutting-edge products that are changing the way billions of people use technology. Onsite benefits like fitness and wellness centers embody our philosophy that taking care of Googlers is good for all of us. Build team skills with a group cooking class or coffee tasting, ride a gBike to one of our cafés, or work up a sweat in a group class. Here at the Googleplex, we’re looking for innovators, collaborators, and blue-sky thinkers. We’re looking for you.

We work in close collaboration with academia, with a goal to impact both Google’s products and general scientific progress. We accomplish this in two ways: by releasing software libraries, a way to build research findings into products and services, and through publishing our work and sharing our findings with the academic community.

Our team in Pittsburgh conducts research in natural language processing, machine learning, image and video understanding, and optimization, and our impacts range from academic paper publications to software systems used throughout Google. We collaborate closely with research and applied groups in many areas, and also work closely with Carnegie Mellon University and other organizations in the extremely strong computer science community in Pittsburgh.

As our company headquarters, Mountain View and the surrounding offices in Sunnyvale, San Francisco, and San Bruno are home to many of our world-class research teams and the innovative projects they work on.

Our research teams in Seattle and Kirkland work on a wide range of disciplines — from quantum computing to applied science to federated learning and health. In doing the above, and more, a large focus of our work also focuses on advancing the state of the art in machine learning.

Nestled between the Santa Cruz Mountains and the San Francisco Bay, with San Jose to the south, San Francisco to the north, and NASA right next door, you’ll find one of Google’s largest and newest global campuses in Sunnyvale. Here in the heart of the original Silicon Valley innovation is happening everywhere—from our Cloud team developing exciting new products and services, to moving into our latest office spaces which include interconnected building projects, the creation of green spaces connecting campuses with the community, and the creative restoration of local habitats. We love growing in Sunnyvale—and you will too.

We develop novel neural network architectures and learning algorithms, with applications to computer vision, natural language and speech processing, medical image analysis, and computer architecture and software.

Europe, Middle East, and Africa

Google Research teams in Accra collaborate with global research teams to lead many sustainability initiatives of particular interest to Africa. We implement theoretical and applied artificial intelligence with a strong focus on machine learning and algorithmic foundations to tackle some global challenges, such as food security, disaster management, remote sensing, among others.

Researchers in our Amsterdam office push the boundaries of what is possible in many domains, including natural language understanding, computer vision and audio, reinforcement learning and machine learning for the natural sciences.

In Berlin, our teams work on a range of topics from foundational to more applied and involve data comprised of text, images, video, audio and more. We are engaging and collaborating closely with Berlin’s vibrant academic and startup communities.

We work on machine learning, natural language understanding and machine perception, from foundational research to AI innovations, in search, healthcare, and crisis response.

We work on natural language understanding and conversational dialog, text-to-speech, (on-device) machine learning, human-centered AI research and user research as well as healthcare.

We work on problems in quantum computing as well as speech and language processing, and collaborate closely with Google’s product teams across the world.

We tackle big challenges across several fields at the intersection of computer science, statistics and applied mathematics while collaborating closely with a strong academic community.

We solve big challenges in computer science, with a focus on machine learning, natural language understanding, machine perception, algorithms and data compression.

Asia-Pacific

Google Research Australia aims to advance the state-of-the-art in machine learning, in areas such as Fundamental Machine Learning, Natural Language Understanding, and Systems Programming. We aim to apply our research in ways that benefit Australia, Google and global society.

We are interested in advancing the state of the art and applications in areas like Machine Learning, Natural Language Understanding, Computer Vision, Software Engineering and Multi-agent Systems.

We are interested in advancing the state of the art and applications in areas like machine learning, speech, and natural language processing.

Meet the teams driving innovation

Our teams advance the state of the art through research, systems engineering, and collaboration across Google.

Our impact reaches billions

Google Research tackles challenges that define the technology of today and tomorrow.

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Find your research career at Google

Our researchers are embedded in teams across computer science, to discover, invent, and build at the largest scale.

Our research-focused software engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly.

Work across data mining, natural language processing, hardware and software performance analysis, improving compilation techniques for mobile platforms, core search, and much more.

Internships take place throughout the year, and we encourage students from a range of disciplines, including CS, Electrical Engineering, Mathematics, and Physics to apply to work with us.

Collaboration is essential for progress

We’re proud to work with academic and research institutions that push the boundaries of AI and computer science.

Measuring and improving the accuracy, safety, speed, and efficiency of AI technologies.

Working to advance fire modeling tools and fire spread prediction algorithms.

Anthropic, Google, Microsoft and OpenAI are launching the Frontier Model Forum, an industry body focused on ensuring safe and responsible development of frontier AI models.

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Phd ta on algorithms for complex networks, job description.

As a PhD-TA candidate, you will work on new distributed algorithms for large networks, in particular, computing the stationary distribution of random walks and policy evaluation. Random walks are used in network analysis for ranking vertices, community detection, and embedding of the vertices in multi-dimensional space for machine learning tasks. Policy evaluation is widely used in reinforcement learning, for instance, for training large language models. Your challenge is to develop, analyze and implement algorithms where the network vertices act independently by learning from their local observations. You will mathematically analyze the algorithms on random graph models and implement them on large real-life networks.

The position is closely related to the NETWORKS program of the SPOR cluster at the TU/e. You will join a lively group of academic staff, PhD candidates and postdocs who all share their fascination for mathematics of complex networks.  You will greatly benefit from the many workshops on networks and random graphs at the Eurandom conference center based at the Department of Mathematics and Computer Science at the TU/e.

The PhD TA position is for 5 years with 25% of your time spent on education. Your advisor, as well as other members of the Probability group, are committed to effective innovative education. You will have the opportunity to use your creativity for designing, guiding and assessing new inspiring learning activities for the students, while we will guide you in your growth as educator.

Job requirements

• A master’s degree (or an equivalent university degree) in mathematics or applied mathematics.
• A research-oriented attitude.
• Motivated to develop your teaching skills and coach students.
• Motivated to develop and implement innovative course design
• Fluent in spoken and written English (C1 level).

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for five years, with an intermediate evaluation (go/no-go) after nine months. You will spend 25% of your employment on teaching tasks.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process .
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A  Staff Immigration Team  and a tax compensation scheme (the 30% facility) for international candidates. 

Information and application

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager, prof.dr. Nelly Litvak,  [email protected] . Visit our website for more information about the application process or the conditions of employment. You can also contact [email protected] . Are you inspired and would like to know more about working at TU/e? Please visit our career page .

Application

We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.