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Phd Computer Science Jobs in Delaware (NOW HIRING)

Qualifications Preferred MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics 7+ years applied experience devising ...

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Phd Computer Science information

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$56.5K

$83.2K

$98.1K

How much do phd computer science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for phd computer science in Delaware is $83,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $93,600.00 per year, depending on experience, location, and employer.

Is a PhD worth it for CS?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation, but may not be necessary for most industry jobs that prioritize skills and experience. The decision depends on career goals and the value placed on research and academic credentials.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is the salary of a computer PhD?

A computer science PhD typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience level. Academic roles may have lower salaries, while industry positions in tech companies tend to offer higher compensation, often including bonuses and stock options.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

Which CS has the highest salary?

In computer science, roles such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to high demand for expertise in artificial intelligence and data analysis. Senior positions with advanced skills in programming, algorithms, and cloud computing typically command top compensation, especially in tech hubs and large organizations.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Delaware? For Phd Computer Science jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Delaware look for? The top searched job categories for Phd Computer Science jobs in Delaware are:
What cities in Delaware are hiring for Phd Computer Science jobs? Cities in Delaware with the most Phd Computer Science job openings:
CCB Risk [Multiple Positions Available]

CCB Risk [Multiple Positions Available]

J.P. Morgan

Wilmington, DE

Full-time

Medical, Retirement

Posted 12 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

DESCRIPTION:

Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data management, and model implementation teams to drive business results. Apply analytical, data science, and machine learning skills to solve complex business problems. Work across teams to design, develop, and implement analytical models. Responsible for these models throughout the model's life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement. Monitor and validate existing models to support risk strategy and business functions. Liaise with business partners to ensure alignment of the modeling team's Book of Work with the strategic direction of the business. Contribute to the asks and requirements stemming from various regulatory exams. Prepare presentations and reports for both non-technical and technical audiences including senior management, risk strategy and MRGR.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Statistics, Computer Science, Mathematics, Engineering or related field of study plus 3 years of experience in the job offered or as CCB Risk, Risk Strategy Analytics Analyst, Information Scientist, or related occupation. The employer will alternatively accept a PhD in Statistics, Computer Science, Mathematics, Engineering or related field of study plus 1 year of experience in the job offered or as CCB Risk, Risk Strategy Analytics Analyst, Information Scientist, or related occupation.

Skills Required: This position requires one (1) year of experience with the following: Credit risk management in the financial industry; Performing machine learning quantitative analytics using Python and SAS; Working with credit risk data using Snowflake, Oracle, SQL, Teradata, and Hive. This position requires any amount of experience with the following: Conducting credit risk analysis and working on entire account life cycle including acquisition, portfolio management, and collection; Performing business and personal financial statement analysis; Applying language models including GPT-4 and Claude and prompt engineering techniques including designing effective prompts, few-shot learning, chain-of-thought prompting, and retrieval-augmented generation to automate and enhance various business processes; Using analytical and modeling methods including decision tree, random forest, logistic regression, multivariate regression, gradient boosting machine, multinomial regression, multivariate analysis, discriminant analysis, principal component analysis and factor analysis, and clustering analysis; Using distributed computing techniques to process data sets with data containers, multithreading, and multiprocessing in PySpark and Scala; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities, including Pivots, VLOOKUP, VBA macros, index match, and data analysis add-ons; Using Data science libraries including Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Matplotlib and seaborn, and software engineering fundamentals including version control using GitHub or Bitbucket; Defining a risk target and features; Identifying a quantitative relationship embedded in data; Managing and analyzing quantitative data, including data extraction, cleaning, transformation, and visualization; Performing data manipulation, structuring, design flow, and query optimization using programming languages including SQL and Python.  

Job Location: 301 N Walnut St, Wilmington, DE 19801.

Full-Time. 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.